2015 Publications

159 HBP-funded scientific publications in 2015

Allegra Mascaro, A.L., Costantini, I., Margoni, E., Iannello, G., Bria, A., Sacconi, L., & Pavone, F.S. (2015). Label-free near-infrared reflectance microscopy as a complimentary tool for two-photon fluorescence brain imagingBiomedical Optics Express, 6: 4483-4492.

Alvanaki, F., Goncalves, R., Ivanova, M., Kersten, M., & Kyzirakos, K. (2015). GIS navigation boosted by column storesProceedings of the VLDB Endowment - Proceedings of the 41st International Conference on Very Large Data Bases, 8: 1956-1959.

Amunts, K., & Zilles, K. (2015). Architectonic mapping of the human brain beyond BrodmannNeuron, 88: 1086-1107.

Aransay, A., Rodriguez-López, C., García-Amado, M., Clascá, F., & Prensa, L. (2015). Long-range projection neurons of the mouse ventral tegmental area: a single-cell axon tracing analysisFrontiers in Neuroanatomy, 9: 59.

Arnulfo, G., Hirvonen, J., Nobili, L., Palva, S., & Palva, J. M. (2015). Phase and amplitude correlations in resting-state activity in human stereotactical EEG recordingsNeuroImage112: 114-127.

Arnulfo, G., Narizzano, M., Cardinale, F., Fato, M. M., & Palva, J. M. (2015). Automatic segmentation of deep intracerebral electrodes in computed tomography scansBMC Bioinformatics16(1): 99.

Babaei, S., Mahfouz, A., Hulsman, M., Lelieveldt, B. P., de Ridder, J., & Reinders, M. (2015). Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse CortexPLoS Computational Biology11(5): e1004221.

Bakker, R., Tiesinga, P., & Kötter, R. (2015). The scalable brain atlas: Instant web-based access to public brain atlases and related contentNeuroinformatics, 13: 353-366.

Bavandpour, M., Soleimani, H., Linares-Barranco, B., Abbott, D., & Chua, L.O. (2015). Generalized reconfigurable memristive dynamical systems (MDS) for neuromorphic applicationsFrontiers in Neuroscience, 9: 409.

Bergström, F., & Eriksson, J. (2015). The conjunction of non-consciously perceived object identity and spatial position can be retained during a visual short-term memory taskFrontiers in Psychology6: 1470.

Besold, T. R., & Kühnberger, K. U. (2015). Proceedings of the workshop on "Neural-Cognitive Integration"PICS Publications of the Institute of Cognitive Science, 3.

Blanke, O., Slater, M., Serino, A. (2015). Behavioral, neural, and computational principles of bodily self-consciousnessNeuron, 88: 145-166. 

Bosch, C., Martinez, A., Masachs, N., Teixeira, C.M., Fernaud, I., Ulloa, F., Pérez-Martínez, E., Lois, C., Comella, J.X., DeFelipe, J., Merchán-Pérez, A., & Soriano, E. (2015). FIB/SEM technology and high-throughput 3D reconstruction of dendritic spines and synapses in GFP-labeled adult-generated neuronsFrontiers in Neuroanatomy, 9: 60.

Brigham, M., & Destexhe, A. (2015). Nonstationary filtered shot-noise processes and applications to neuronal membranesPhysical Review E, Statistical, Nonlinear, and Soft Matter Physics, 91: 062102.

Brosch, T., Neumann, H., & Roelfsema, P. R. (2015). Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural NetworksPLoS Computational Biology11(10): e1004489.

Bruce, N.J., Kokh, D.B., Ozboyaci, M., & Wade, R.C. (2015). Modelling of Solvation Effects for Brownian Dynamics Simulation of Biomolecular RecognitionComputational Trends in Solvation and Transport in Liquids, 28: 259-280.

Burms, J., Caluwaerts, K., & Dambre, J. (2015). Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networksInternational Conference on Robotics and Automation (ICRA): 4252-4257.

Burms, J., Caluwaerts, K., & Dambre, J. (2015). Reward-modulated Hebbian plasticity as leverage for partially embodied control in compliant robotics. Frontiers in Neurorobotics9: 9.

Bzdok, D., Eickenberg, M., Grisel, O., Thirion, B., & Varoquaux, G. (2015). Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging DataNeural Information Processing Systems 28.

Carbajal, J. P., Dambre, J., Hermans, M., & Schrauwen, B. (2015). Memristor models for machine learningNeural Computation 27(3): 725-747.

Camilleri, J.A., Reid, A.T., Müller, V.I., Grefkes, C., Amunts, K., & Eickhoff, S.B. (2015). Multi-Modal Imaging of Neural Correlates of Motor Speed Performance in the Trail Making TestFrontiers in Neurology, 6: 219.

Caspers, S., Axer, M., Caspers, J., Jockwitz, C., Jütten, K., Reckfort, J., Grässel, D., Amunts, K. & Zilles, K. (2015). Target sites for transcallosal fibers in human visual cortex–A combined diffusion and polarized light imaging studyCortex, 70: 40-53.

Ceci, M., Pio, G., Kuzmanovski, V., & Dzerovski, S. (2015). Semi-Supervised Multi-View Learning for Gene Network ReconstructionPLoS One, 10: e0144031.

Ceres, N., & Lavery, R. (2015). Improving the treatment of coarse-grain electrostatics: CVCELThe Journal of Chemical Physics143(24): 243118.

Chase, H. W., Clos, M., Dibble, S., Fox, P., Grace, A. A., Phillips, M. L., & Eickhoff, S. B. (2015). Evidence for an anterior–posterior differentiation in the human hippocampal formation revealed by meta-analytic parcellation of fMRI coordinate maps: Focus on the subiculumNeuroImage113: 44-60.

Chersi, F., & Burgess, N. (2015). The cognitive architecture of spatial navigation: hippocampal and striatal contributionsNeuron, 88: 64-77.

Chu, C., Fan, L., Eickhoff, C. R., Liu, Y., Yang, Y., Eickhoff, S. B., & Jiang, T. (2015). Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates. NeuroImage117: 397-407.

Cong, X., Campomanes, P., Kless, A., Schapitz, I., Wagener, M., Koch, T., & Carloni, P. (2015). Structural Determinants for the Binding of Morphinan Agonists to the μ-Opioid ReceptorPloS one10(8): e0135998.

Costantini, I., Ghobril, J. P., Di Giovanna, A. P., Mascaro, A. L. A., Silvestri, L., Müllenbroich, M. C., Onofri, L., Conti, V., Vanzi, F., Sacconi, L., Guerrini, R., Markram, H., Iannello, G. & Pavone, F. S. (2015). A versatile clearing agent for multi-modal brain imagingScientific Reports5: 9808.

Čufar, A., Mrhar, A., & Robnik-Šikonja, M. (2015). Assessment of surveys for the management of hospital clinical pharmacy servicesArtificial Intelligence in Medicine 64(2): 147-158.

Cui, J., Zufferey, V., & Kherif, F. (2015). In-vivo brain neuroimaging provides a gateway for integrating biological and clinical biomarkers of Alzheimer's diseaseCurrent Opinion in Neurology28(4): 351-357.

de Kamps,. M., & van der Velde, F. (2015). Combinatorial structures and processing in neural blackboard architecturesPre-Proceedings of the Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches (NIPS 2015): paper 13.

DeFelipe, J. (2015). The anatomical problem posed by brain complexity and size: a potential solutionFrontiers in Neuroanatomy9: 104.

Degrave, J., Caluwaerts, K., & Dambre, J. (2015). Developing an embodied gait on a compliant quadrupedal robotInternational Conference on Intelligent Robots and Systems: 4486-4491.

Dehaene, S., Meyniel, F., Wacongne, C., Wang, L., & Pallier, C. (2015). The neural representation of sequences: from transition probabilities to algebraic patterns and linguistic treesNeuron, 88: 2-19.

Dogan, I., Eickhoff, C. R., Fox, P. T., Laird, A. R., Schulz, J. B., Eickhoff, S. B., & Reetz, K. (2015). Functional connectivity modeling of consistent cortico-striatal degeneration in Huntington's diseaseNeuroImage: Clinical7: 640-652.

Dohmen, M., Menzel, M., Wiese, H., Reckfort, J., Hanke, F., Pietrzyk, U., Zilles, K., Amunts, K. & Axer, M. (2015). Understanding fiber mixture by simulation in 3D Polarized Light ImagingNeuroImage111: 464-475.

Dubois, J., Poupon, C., Thirion, B., Simonnet, H., Kulikova, S., Leroy, F., Hertz-Pannier, L. & Dehaene-Lambertz, G. (2015). Exploring the Early Organization and Maturation of Linguistic Pathways in the Human Infant BrainCerebral Cortex26(5): 2283-2298.

Eriksson, J., Vogel, E. K., Lansner, A., Bergström, F., & Nyberg, L. (2015). Neurocognitive Architecture of Working MemoryNeuron88(1): 33-46.

Evers, K. (2015). Can We Be Epigenetically Proactive?Open MIND: 13(T).

Falotico, E., Vannucci, L., Di Lecce, N., Dario, P., & Laschi, C. (2015). A bio-inspired model of visual pursuit combining feedback and predictive control for a humanoid robot2015 International Conference on Advanced Robotics: 188-193.

Frackowiak, R., & Markram, H. (2015). The future of human cerebral cartography: a novel approachPhilosophical Transactions of the Royal Society of London B: Biological Sciences370 (1668): 20140171.

Francis, G. (2015). Contour erasure and filling-in: Old simulations account for most new observationsi-Perception6(2): 116-126.

Frégnac, Y., & Bathellier, B. (2015). Cortical correlates of low-level perception: from neural circuits to perceptsNeuron, 88: 110-126.

Fries, P. (2015). Rhythms for cognition: communication through coherenceNeuron, 88: 220-235.

Frezza, E., & Lavery, R. (2015). Internal Normal Mode Analysis (iNMA) applied to protein conformational flexibilityJournal of Chemical Theory and Computation,11(11): 5503-5512.

Gabitov, E., Manor, D., & Karni, A. (2015). Patterns of Modulation in the Activity and Connectivity of Motor Cortex during the Repeated Generation of Movement SequencesJournal of Cognitive Neuroscience, 27(4): 736-751.

Galindo, S.E., Toharia, P., Lopez-Moreno, J., Robles, O.D., & Pastor L. (2015). PREFR: A Flexible Particle Rendering FrameworkProceedings of Congreso Español de Informática Gráfica, Eurographics Association: 9-17.

Gamberger, D., Ženko, B., Mitelpunkt, A., & Lavrač, N. (2015). Identification of Gender Specific Biomarkers for Alzheimer's DiseaseBrain Informatics and Health9250: 57-66.

Gao, Y., Liu, L., Li, Q., & Wang, Y. (2015). Differential alterations in the morphology and electrophysiology of layer II pyramidal cells in the primary visual cortex of a mouse model prenatally exposed to LPSNeuroscience Letters591: 138-143.

García-Grajales, J. A., Rucabado, G., García-Dopico, A., Peña, J. M., & Jérusalem, A. (2015). Neurite, a finite difference large scale parallel program for the simulation of electrical signal propagation in neurites under mechanical loadingPloS one10(2): e0116532.

Gardner, B., Sporea, I., & Grüning, A. (2015). Encoding Spike Patterns in Multilayer Spiking Neural NetworksarXiv preprint arXiv:1503.09129.

Giese, M. A., & Rizzolatti, G. (2015). Neural and Computational Mechanisms of Action Processing: Interaction between Visual and Motor Representations. Neuron88(1): 167-180.

Goldberg, H., Christensen, A., Flash, T., Giese, M. A., & Malach, R. (2015). Brain activity correlates with emotional perception induced by dynamic avatars. NeuroImage122: 306-317.

Grillner, S., & Robertson, B. (2015). The basal ganglia downstream control of brainstem motor centres—an evolutionarily conserved strategyCurrent Opinion in Neurobiology33: 47-52.

Hadjipapas, A., Lowet, E., Roberts, M. J., Peter, A., & De Weerd, P. (2015). Parametric variation of gamma frequency and power with luminance contrast: A comparative study of human MEG and monkey LFP and spike responses. NeuroImage112: 327-340.

Hagen, E., Ness, T.V., Khosrowshahi, A., Sørensen, C., Fyhn, M., Hafting, T., Franke, F., & Einevoll, G.T. (2015). ViSAPy: a Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithmsJournal of Neuroscience Methods, 245: 182-204.

Hahne, J., Helias, M., Kunkel, S., Igarashi, J., Bolten, M., Frommer, A., & Diesmann, M. (2015). A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. Frontiers in Neuroinformatics9: 22.

Hannagan, T., Amedi, A., Cohen, L., Dehaene-Lambertz, G., & Dehaene, S. (2015). Origins of the specialization for letters and numbers in ventral occipitotemporal cortexTrends in Cognitive Sciences19(7): 374-382.

Hansen, E. C., Battaglia, D., Spiegler, A., Deco, G., & Jirsa, V. K. (2015). Functional connectivity dynamics: Modeling the switching behavior of the resting stateNeuroImage105: 525-535.

Hari, R., Henriksson, L., Malinen, S., & Parkkonen, L. (2015). Centrality of social interaction in human brain functionNeuron, 88: 181-193.

Hari, R., & Parkkonen, L. (2015). The brain timewise: how timing shapes and supports brain functionPhilosophical Transactions of the Royal Society of London B: Biological Sciences, 370: doi:10.1098/rstb.2014.0170.

Heinis, T., & Ailamaki, A. (2015). Reconsolidating Data StructuresProc. 18th International Conference on Extending Database Technology (EDBT): 665-670.

Hermans, M., Burm, M., Van Vaerenbergh, T., Dambre, J., & Bienstman, P. (2015). Trainable hardware for dynamical computing using error backpropagation through physical mediaNature Communications6: 6729.

Hinkel, G., Groenda, H., Vannucci, L., Denninger, O., Cauli, N., & Ulbrich, S. (2015, July). A Domain-Specific Language (DSL) for Integrating Neuronal Networks in Robot ControlProceedings of the 2015 Joint MORSE/VAO Workshop on Model-Driven Robot Software Engineering and View-based Software-Engineering: 9-15.

Hopkins, M., & Furber, S. (2015). Accuracy and Efficiency in Fixed-Point Neural ODE SolversNeural Computation, 27: 2148-2182.

Hoyos-Idrobo, A., Schwartz, Y., Varoquaux, G., & Thirion, B. (2015). Improving sparse recovery on structured images with bagged clustering2015 International Workshop on Pattern Recognition in Neuroimaging (PRNI): 73-76.

Huyck, C., Evans, C., & Mitchell, I. (2015). A comparison of simple agents implemented in simulated neuronsBiologically Inspired Cognitive Architectures12: 9-19.

Huyck, C., & Mitchell, I. (2014). Building Neuromorphic Embodied Cell Assembly Agents that LearnBiologically Inspired Cognitive Architectures Conference.

Jablonski, M., Serrano-Gotarredona, T., & Linares-Barranco, B. (2015). High-speed serial interfaces for event-driven neuromorphic systems2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP): 1-4.

Jastorff, J., Huang, Y. A., Giese, M. A., & Vandenbulcke, M. (2015). Common neural correlates of emotion perception in humansHuman Brain Mapping, 36(10): 4184-4201.

Jordan, J., Tetzlaff, T., Petrovici, M., Breitweiser, O., Bytschok, I., Bill, J., Schemmel, J., Meier, K., & Diesmann, M. (2015). Deterministic neural networks as sources of uncorrelated noise from probabilistic computationsBMC Neuroscience, 16(Suppl 1): P62.

Kappel, D., Habenschuss, S., Legenstein, R., & Maass, W. (2015). Network plasticity as Bayesian referencePLoS Computational Biology, 11: e1004485.

Kappel, D., Habenschuss, S., Legenstein, R., & Maass, W. (2015). Synaptic sampling: A Bayesian approach to neural network plasticity and rewiringAdvances in Neural Information Processing Systems 28 (NIPS 2015).

Kardamakis, A. A., Saitoh, K., & Grillner, S. (2015). Tectal microcircuit generating visual selection commands on gaze-controlling neurons. Proceedings of the National Academy of Sciences112(15): E1956-E1965.

Karpathiotakis, M., Alagiannis, I., Heinis, T., Branco, M., & Ailamaki, A. (2015). Just-In-Time Data Virtualization: Lightweight Data Management with ViDaProceedings of the 7th Biennial Conference on Innovative Data Systems Research (CIDR).

Kjonigsen, L. J., Lillehaug, S., Bjaalie, J. G., Witter, M. P., & Leergaard, T. B. (2015). Waxholm Space atlas of the rat brain hippocampal region: Three-dimensional delineations based on magnetic resonance and diffusion tensor imagingNeuroImage108: 441-449.

Kloosterman, N.A., Meindertsma, T., Hillebrand, A., van Dijk, B.W., Lamme, V.A., & Donner, T.H. (2015). Top-down modulation in human visual cortex predicts the stability of a perceptual illusionJournal of Neurophysiology, 113: 1063-1076.

Kringelbach, M. L., McIntosh, A. R., Ritter, P., Jirsa, V. K., & Deco, G. (2015). The Rediscovery of Slowness: Exploring the Timing of CognitionTrends in Cognitive Sciences19(10): 616-628.

Kulikova, S., Hertz-Pannier, L., Dehaene-Lambertz, G., Buzmakov, A., Poupon, C., & Dubois, J. (2015). Multi-parametric evaluation of the white matter maturationBrain Structure and Function, 220(6): 3657-3672.

Lagorce, X., & Benosman, R. (2015). STICK: Spike time interval computational kernel, a framework for general purpose computation using neurons, precise timing, delays, and synchronyNeural Computation, 27: 2261-2317.

Lagorce, X., Ieng, S.H., Clady, X., Pfeiffer, M., & Benosman, R.B. (2015). Spatiotemporal features for asynchronous event-based dataFrontiers in Neuroscience, 9: 46.

Lagorce, X., Stromatias, E., Galluppi, F., Plana, L. A., Liu, S. C., Furber, S. B., & Benosman, R. B. (2015). Breaking The Millisecond Barrier On SpiNNaker: Implementing Asynchronous Event-Based Plastic Models With Microsecond ResolutionFrontiers in Neuroscience9: 206.

Lebenberg, J., Poupon, C., Thirion, B., Leroy, F., Mangin, J. F., Dehaene-Lambertz, G., & Dubois, J. (2015, April). Clustering the infant brain tissues based on microstructural properties and maturation assessment using multi-parametric MRI. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI): 148-151.

Levi, P. (2015). Molecular quantum robotics: particle and wave solutions, illustrated by "leg-over-leg" walking along microtubulesFrontiers in Neurorobotics9: 2.

Lewis, C.M., Bosman, C.A., & Fries, P. (2015). Recording of brain activity across spatial scalesCurrent Opinion in Neurobiology, 32: 68-77.

Lewis, C., Bosmann, C., Womelsdorf, T., & Fries, P. (2016). Stimulus induced visual cortical networks are recapitulated by spontaneous local and inter-areal synchronizationProceedings of the National Academy of Sciences (PNAS), 113(5): E606-E615.

Liu, G., Camilleri, P., Furber, S., & Garside, J. (2015). Network traffic exploration on a many-core computing platform: SpiNNaker real-time traffic visualiser11th Conference on PhD Research in Microelectronics and Electronics (PRIME) 2015: 228-231.

Lorenz, S., Weiner, K.S., Caspers, J., Mohlberg, H., Schleicher, A., Bludau, S., Eickhoff, S.B., Grill-Spector, K., Zilles, K., & Amunts, K. (2015). Two New Cytoarchitectonic Areas on the Human Mid-Fusiform GyrusCerebral Cortex: doi:10.1093/cercor/bhv225.

Luengo-Sanchez, S., Bielza, C., Benavides-Piccione, R., Fernaud-Espinosa, I., DeFelipe, J., & Larrañaga, P. (2015). A univocal definition of the neuronal soma morphology using Gaussian mixture modelsFrontiers in Neuroanatomy9: 137.

Mahfouz, A., van de Giessen, M., van der Maaten, L., Huisman, S., Reinders, M., Hawrylycz, M. J., & Lelieveldt, B. P. (2015). Visualizing the spatial gene expression organization in the brain through non-linear similarity embeddings. Methods73: 79-89.

Mahfouz, A., Ziats, M. N., Rennert, O. M., Lelieveldt, B. P., & Reinders, M. J. (2015). Shared Pathways Among Autism Candidate Genes Determined by Co-expression Network Analysis of the Developing Human Brain Transcriptome.Journal of Molecular Neuroscience57(4): 580-594.

Malikovic, A., Amunts, K., Schleicher, A., Mohlberg, H., Kujovic, M., Palomero-Gallagher, N., Eickhoff, S. B. & Zilles, K. (2015). Cytoarchitecture of the human lateral occipital cortex: mapping of two extrastriate areas hOc4la and hOc4lpBrain Structure and Function221(4): 1877-1897.

Markram, H., Muller, E., Ramaswamy, S., Reimann, M.W., Abdellah, M., Sanchez, C.A., Ailamaki, A., Alonso-Nanclares, L., Antille, N., Arsever, S., Kahou, G.A., Berger, T.K., Bilgili, A., Buncic, N., Chalimourda, A., Chindemi, G., Delalondre, F., Delattre, V., Druckmann, S., Dumusc, R., Dynes, J., Eilemann, S., Gal, E., Gevaert, E.M., Ghobril, J.P., Gidon, A., Graham, J.W., Gupta, A., Haenel, V., Hay, E., Heinis, T., Hernando, J.B., Hines, M., Kanari, L., Keller, D., Kenyon, J., Khazen, G., Kim, Y., King, J.G., Kisvarday, Z., Kumbhar, P., Lasserre, S., Le Bé, J.V., Magalhães, B.R., Merchán-Pérez, A., Meystre, J., Morrice, B.R., Muller, J., Muñoz-Céspedes, A., Muralidhar, S., Muthurasa, K., Nachbaur, D., Newton, T.H., Nolte, M., Ovcharenko, A., Palacios, J., Pastor, L., Perin, R., Ranjan, R., Riachi, I., Rodriguez, J.R., Riquelme, J.L., Rössert, C., Sfyrakis, K., Shi, Y., Shilcock, J.C., Silberberg, G., Silva, R., Tauheed, F., Telefont, M., Toledo-Rodriguez, M., Tränkler, T., Van Geit, W., Diaz, J.V., Walker, R., Wang, Y., Zaninetta, S.M., DeFelipe, J., Hill, S.L., Segev, I., & Schürmann, F. (2015). Reconstruction and simulation of neocortical microcircuitryCell, 163: 156-192. 

Márquez Neila, P., Baumela, L., González-Soriano, J., Rodríguez, J.R., DeFelipe, J., & Merchán-Pérez A. (2015). A fast method for the segmantation of synaptic junctions and mitochondria in serial electron microscopic images of the brainNeuroinformatics, 14: 235-250.

Manassi, M., Hermens, F., Francis, G., & Herzog, M. H. (2015). Release of crowding by pattern completionJournal of Vision15(8): 1-15.

Martinez, M., Bruce, N. J., Romanowska, J., Kokh, D. B., Ozboyaci, M., Yu, X., ... & Wade, R. C. (2015). SDA 7: A modular and parallel implementation of the simulation of diffusional association softwareJournal of Computational Chemistry36(21): 1631-1645.

Martinez-Garcia, M., Insabato, A., Pannunzi, M., Pardo-Vazquez, J.L., Acuña, C., & Deco, G. (2015). The encoding of decision difficulty and movement time in the primate premotor cortexPLoS Computational Biology, 11: e1004502.

Mascaro, A. L. A., Silvestri, L., Sacconi, L., & Pavone, F. S. (2015). Towards a comprehensive understanding of brain machinery by correlative microscopy. Journal of Biomedical Optics20(6): 061105.

Meyniel, F., Schlunegger, D., & Dehaene, S. (2015). The Sense of Confidence during Probabilistic Learning: A Normative AccountPLoS Computational Biology11(6): e1004305.

Meyniel, F., Sigman, M., & Mainen, Z.F. (2015). Confidence as Bayesian probability: from neural origins to behaviorNeuron, 88: 78-92.

Migliore, M., De Simone, G., & Migliore, R. (2015). Effect of the Initial Synaptic State on the Probability to Induce Long-Term Potentiation and Depression. Biophysical Journal108(5): 1038-1046.

Mihaljević, B., Benavides-Piccione, R., Bielza, C., DeFelipe, J., & Larrañaga, P. (2015). Bayesian network classifiers for categorizing cortical GABAergic interneuronsNeuroinformatics, 13(2): 193-208.

Mihaljević, B., Benavides-Piccione, R., Guerra, L., DeFelipe, J., Larrañaga, P., & Bielza, C. (2015). Classifying GABAergic interneurons with semi-supervised projected model-based clusteringArtificial Intelligence in Medicine, 65: 49-59.

Mohan, H., Verhoog, M. B., Doreswamy, K. K., Eyal, G., Aardse, R., Lodder, B. N., Goriounova1, N. A., Asamoah, B., Brakspear, C., Groot, C., van der Sluis, S., Testa-Silva, G., Obermayer, J., Boudewijns, Z., Narayanan, R. T., Baayen, J. C., Segev, I., Mansvelder, H. D., & de Kock, C. P. (2015). Dendritic and Axonal Architecture of Individual Pyramidal Neurons across Layers of Adult Human NeocortexCerebral Cortex, 25(12): 4839-4853.

Montes, J., Peña, J. M., DeFelipe, J., Herreras, O., & Merchan-Perez, A. (2015). The Influence of Synaptic Size on AMPA Receptor Activation: A Monte Carlo ModelPloS one10(6): e0130924.

Moutard, C., Dehaene, S., Malach, R. (2015). Spontaneous fluctuations and non-linear ignitions: two dynamic faces of cortical recurrent loopsNeuron, 88: 194-206.

Müllenbroich, M. C., Silvestri, L., Onofri, L., Costantini, I., van't Hoff, M., Sacconi, L., Ianello, G. & Pavone, F. S. (2015). Comprehensive optical and data management infrastructure for high-throughput light-sheet microscopy of whole mouse brainsNeurophotonics2(4): 041404.

Mundy, A., Knight, J., Stewart, T.C., & Furber, S. (2015). An efficient SpiNNaker implementation of the Neural Engineering Framework2015 International Joint Conference on Neural Networks: 1-8.

Nair, A.G., Gutierrez-Arenas, O., Eriksson, O., Viincent, P., & Hellgren Kotaleski J. (2015). Sensing positive versus negative reward signals through adenylyl cyclase-coupled GPCRs in direct and indirect pathway striatal medium spiny neuronsJournal of Neuroscience, 35: 14017-14030.

Nillegoda, N. B., Kirstein, J., Szlachcic, A., Berynskyy, M., Stank, A., Stengel, F., Arnsburg, K., Gao, X., Scior, A., Aebersold, R., Guilbride, D. L., Wade, R. C., Morimoto, R. I., Mayer, M. P. & Bukau, B. (2015). Crucial HSP70 co-chaperone complex unlocks metazoan protein disaggregationNature 524: 247-251.

Nowke, C., Zielasko, D., Weyers, B., Peyser, A., Hentschel, B., & Kuhlen, T.W. (2015). Integrating visualizations into modeling NEST simulationsFrontiers in Neuroinformatics, 9: 29.

Ocaña, F. M., Suryanarayana, S. M., Saitoh, K., Kardamakis, A. A., Capantini, L., Robertson, B., & Grillner, S. (2015). The lamprey pallium provides a blueprint of the mammalian motor projections from cortexCurrent Biology,25(4): 413-423.

Palesi, F., Tournier, J. D., Calamante, F., Muhlert, N., Castellazzi, G., Chard, D., D'Angelo, E. & Wheeler-Kingshott, C. A. (2015). Contralateral cerebello-thalamo-cortical pathways with prominent involvement of associative areas in humans in vivoBrain Structure and Function, 220(6): 3369-3384.

Palomero-Gallagher, N., Eickhoff, S. B., Hoffstaedter, F., Schleicher, A., Mohlberg, H., Vogt, B. A., Amunts, K. & Zilles, K. (2015). Functional organization of human subgenual cortical areas: Relationship between architectonical segregation and connectional heterogeneityNeuroImage115: 177-190.

Pannunzi, M., Pérez-Bellido, A., Pereda-Baños, A., López-Moliner, J., Deco, G., & Soto-Faraco, S. (2015). Deconstructing multisensory enhancement in detectionJournal of Neurophysiology113(6): 1800-1818.

Panov, P., Soldatova, L. N., & Džeroski, S. (2015). Generic ontology of datatypesInformation Sciences, 329: 900-920.

Papp, E. A., Leergaard, T. B., Calabrese, E., Johnson, G. A., & Bjaalie, J. G. (2015). Addendum to "Waxholm Space atlas of the Sprague Dawley rat brain" [NeuroImage 97 (2014) 374-386]NeuroImage105: 561-562.

Pastor, L., Mata, S., Toharia, P., Bayona, S., Brito, J. P., & Garcia-Cantero, J. J. (2015). NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain NeocortexThe Eurographics Association: 117-125.

Petrovici, M.A., Bytschok, I., Bill, J., Schemmel, J., & Meier, K. (2015). The high-conductance state enables neural sampling in networks of LIF neuronsBMC Neuroscience, 16(Suppl 1): O2. 

Pozzorini, C., Mensi, S., Hagens, O., Naud, R., Koch, C., & Gerstner W. (2015). Automated high-throughput characterization of single neurons by means of simplified spiking modelsPLoS Computational Biology, 11: e1004275.

Probst, D., Petrovici, M. A., Bytschok, I., Bill, J., Pecevski, D., Schemmel, J., & Meier, K. (2015). Probabilistic inference in discrete spaces can be implemented into networks of LIF neuronsFrontiers in computational Neuroscience9: 13.

Ramaswamy, S., Courcol, J.D., Abdellah, M., Adaszewski, S.R., Antille, N., Arsever, S., Atenekeng, G., Bilgili, A., Brukau, Y., Chalimourda, A., Chindemi, G., Delalondre, F., Dumusc, R., Eilemann, S., Gevaert, M.E., Gleeson, P., Graham, J.W., Hernando, J.B., Kanari, L., Katkov, Y., Keller, D., King, J.G., Ranjan, R., Reimann, M.W., Rössert, C., Shi, Y., Shilcock, J.C., Telefont, M., Van Geit, W., Diaz, J.V., Walker, R., Wang, J., Zaninetta, S.M., DeFelipe, J., Hill, S.L., Muller, J., Segev, I., Schürmann, F., Muller, E.B., & Markram, H. (2015). The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortexFrontiers in Neural Circuits, 9: 44.

Ray, K.L., Zald, D.H., Bludau, S., Riedel, M.C., Bzdok, D., Yanes, J., Falcone, K.E., Amunts, K., Fox, P.T., Eickhoff, S.B., & Laird, A.R. (2015). Co-activation based parcellation of the human frontal poleNeuroimage, 123: 200-211.

Reckfort, J., Wiese, H., Pietrzyk, U., Zilles, K., Amunts, K., & Axer, M. (2015). A multiscale approach for the reconstruction of the fiber architecture of the human brain based on 3D-PLIFrontiers in Neuroanatomy9: 118.

Reid, A. T., Bzdok, D., Langner, R., Fox, P. T., Laird, A. R., Amunts, K., Eickhoff, S. B. & Eickhoff, C. R. (2015). Multimodal connectivity mapping of the human left anterior and posterior lateral prefrontal cortex. Brain Structure and Function, 221(5): 1-17.

Reimann, M.W., King, J.G., Muller, E.B., Ramaswamy, S., & Markram, H. (2015). An algorithm to predict the connectome of neural microcircuitsFrontiers in Computational Neuroscience, 9: 120.

Richardet, R., Chappelier, J. C., Telefont, M., & Hill, S. (2015). Large-scale extraction of brain connectivity from the neuroscientific literatureBioinformatics, 31(10), 1640-1647.

Saïghi, S., Mayr, C. G., Serrano-Gotarredona, T., Schmidt, H., Lecerf, G., Tomas, J., Grollier, J., Boyn, S., Vincent, A. F., Querlioz, D., La Barbera, S., Alibart, F., Vuillaume, D., Bichler, O., Gamrat, C. & Linares-Barranco, B. (2015). Plasticity in memristive devices for spiking neural networksFrontiers in Neuroscience9: 51.

Saygili, G., Staring, M., & Hendriks, E. (2015). Confidence Estimation for Medical Image Registration Based On Stereo ConfidencesIEEE Transactions on Medical Imaging, 35(2) : 539-549.

Schneider, M., Hirsch, S., Weber, B., Székely, G., & Menze, B. H. (2015). Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filtersMedical Image Analysis19(1): 220-249.

Self, M. W., Mookhoek, A., Tjalma, N., & Roelfsema, P. R. (2015). Contextual effects on perceived contrast: Figure–ground assignment and orientation contrastJournal of Vision15(2): 2.

Serrano-Gotarredona, T., & Linares-Barranco, B. (2015). Poker-DVS, MNIST-DVS. Their history, how they were made, and other detailsFrontiers in Neuroscience, 9: 481.

Serrano-Gotarredona, T., Linares-Barranco, B., Galluppi, F., Plana, L., & Furber, S. (2015, May). ConvNets experiments on SpiNNaker2015 IEEE International Symposium on Circuits and Systems (ISCAS): 2405-2408.

Silvestri, L., Paciscopi, M., Soda, P., Biamonte, F., Iannello, G., Frasconi, P., & Pavone, F. S. (2015). Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis. Frontiers in Neuroanatomy9: 68.

Stromatias, E., Neil, D., Galluppi, F., Pfeiffer, M., Liu, S.-C., & Furber, S. (2015). Scalable Energy-Efficient, Low-Latency Implementations of Spiking Deep Belief Networks on SpiNNaker2015 International Joint Conference on Neural Networks: 1-8.

Stromatias, E., Neil, D., Pfeiffer, M., Galluppi, F., Furber, S.B., & Liu, S.-C. (2015). Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platformsFrontiers in Neuroscience, 9: 222.

Sutmann, G., Marx, D., Grotendorst, J., & Gompper, G. (2015). Computational Trends in Solvation and Transport in Liquids-Lecture Notes (No. FZJ-2015-02178). Schriften des Forschungszentrums Jülich, IAS Series, 28: 1-631.

Tauheed, F., Heinis, T., & Ailamaki, A. (2015, May). THERMAL-JOIN: A Scalable Spatial Join for Dynamic WorkloadsProceedings of the 2015 ACM SIGMOD International Conference on Management of Data: 939-950.

Tellmann, S., Bludau, S., Eickhoff, S. B., Mohlberg, H., Minnerop, M., & Amunts, K. (2015). Cytoarchitectonic mapping of the human brain cerebellar nuclei in stereotaxic spaceFrontiers in Neuroanatomy9, 54.

Teppola, H., Sarkanen, J. R., Jalonen, T. O., & Linne, M. L. (2015). Morphological Differentiation Towards Neuronal Phenotype of SH-SY5Y Neuroblastoma Cells by Estradiol, Retinoic Acid and Cholesterol. Neurochemical Research, 41(4): 1-17.

Tsetsos, K., Pfeffer, T., Jentgens, P., & Donner, T.H. (2015). Action planning and the timescale of evidence accumulationPLoS One, 10: e0129473.

Thirion, B., Pedregosa, F., Eickenberg, M., & Varoquaux, G. (2015). Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis2015 ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins).

Tiesinga, P., Bakker, R., Hill, S., & Bjaalie, J. G. (2015). Feeding the human brain modelCurrent Opinion in Neurobiology32: 107-114.

van Albada, S. J., Helias, M., & Diesmann, M. (2015). Scalability of asynchronous networks is limited by one-to-one mapping between effective connectivity and correlationsPLoS Comput Biol 11(9): e1004490.

Vannucci, L., Ambrosano, A., Cauli, N., Albanese, U., Falotico, E., Ulbrich, S., Pfotzer, L., Hinkel, G., Denninger, O., Peppicelli, D., Guyot, L., Von Arnim, A., Deser, S., Maier, P., Dillman, R., Klinker, G., Levi, P., Knoll, A., Gewaltig, M.-O., & Laschi, C. (2015). A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulationIEEE-RAS 15th International Conference on Humanoid Robots, 2015: 1179-1184.

Venetis, T., & Vassalos, V. (2015). Data Integration in the Human Brain ProjectData Integration in the Life Sciences9162: 28-36.

Venetis, T., Ailamaki, A., Heinis, T., Karpathiotakis, M., Kherif, F., Mitelpunkt, A., & Vassalos, V. (2015). Towards the Identification of Disease SignaturesBrain Informatics and Health, 9250: 145-155.

Vogginger, B., Schüffny, R., Lansner, A., Cederström, L., Partzsch, J., & Höppner, S. (2015). Reducing the computational footprint for real-time BCPNN learningFrontiers in Neuroscience9: 2.

Walter, F., Röhrbein, F., & Knoll, A. (2015). Neuromorphic implementations of neurobiological learning algorithms for spiking neural networksNeural Networks 72: 152-167.

Wang, L., Uhrig, L., Jarraya, B., & Dehaene, S. (2015). Representation of numerical and sequential patterns in macaque and human brainsCurrent Biology25(15): 1966-1974.

Wybo, W.A., Boccalini, D., Torben-Nielsen, B., & Gewaltig, M.-O. (2015).  A sparse reformulation of the Green's function formalism allows efficient simulations of morphological neuron modelsNeural Computation, 27: 2587-2622.

Yetman, M. J., Lillehaug, S., Bjaalie, J. G., Leergaard, T. B., & Jankowsky, J. L. (2015). Transgene expression in the Nop-tTA driver line is not inherently restricted to the entorhinal cortexBrain Structure and Function, 221(4):1-19.

Yousefzadeh, A., Serrano-Gotarredona, T., & Linares-Barranco, B. (2015, June). Fast Pipeline 128× 128 pixel spiking convolution core for event-driven vision processing in FPGAs2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP): 1-8.

Yu, X., Martinez, M., Gable, A. L., Fuller, J. C., Bruce, N. J., Richter, S., & Wade, R. C. (2015). webSDA: a web server to simulate macromolecular diffusional associationNucleic Acids Research43(W1): W220-W224.

Zacharatou, E. T., Tauheedz, F., Heinis, T., & Ailamaki, A. (2015, June). RUBIK: efficient threshold queries on massive time seriesProceedings of the 27th International Conference on Scientific and Statistical Database Management:18.

Zachariou, M., Roberts, M., Lowet, E., de Weerd, P., Hadjipapas, A. (2015). Contrast-dependent modulation of gamma rhythm in v1: a network modelBMC Neuroscience, 16(Suppl 1): O10.

Zakiewicz, I. M., Majka, P., Wójcik, D. K., Bjaalie, J. G., & Leergaard, T. B. (2015). Three-Dimensional Histology Volume Reconstruction of Axonal Tract Tracing Data: Exploring Topographical Organization in Subcortical Projections from Rat Barrel CortexPloS one10(9): e0137571.

Zenke, F., Agnes, E.J., & Gerstner, W. (2015). Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networksNature Communications, 6: 6922.

Zhang, Y. F., Liu, L. X., Cao, H. T., Ou, L., Qu, J., Wang, Y., & Chen, J. G. (2015). Otx1 promotes basal dendritic growth and regulates intrinsic electrophysiological and synaptic properties of layer V pyramidal neurons in mouse motor cortexNeuroscience285: 139-154.

Zhdanov, A., Nurminen, J., Baess, P., Hirvenkari, L., Jousmäki, V., Mäkelä, J.P., Mandel, A., Meronen, L., Hari, R., & Parkkonen, L. (2015). An internet-based real-time audiovisual link or dual MEG recordingsPLoS One, 10: e0128485.

Books and book chapters

Kralj, J., Valmarska, A., Grčar, M., Robnik-Šikonja, M., & Lavrač, N. (2015). Analysis of Text-Enriched Heterogeneous Information NetworksBig Data Analysis: New Algorithms for a New Society, 16: 115-139.
Kralj, J., Valmarska, A., Robnik-Šikonja, M., & Lavrač, N. (2015). Mining Text Enriched Heterogeneous Citation NetworksAdvances in Knowledge Discovery and Data Mining, 9077: 672-683.
Levatić, J., Ceci, M., Kocev, D., & Dzeroski, S. (2015). Semi-supervised Learning for Multi-target RegressionNew Frontiers in Mining Complex Patterns, 8983: 3-18.

Mangin, J.-F., Auzias, G., Coulon, O., Sun, Z.Y., Rivière, D., & Régis, J. (2015). Sulci as landmarks. In: Brain Mapping: An Encyclopedic Reference (Toga, A.W,. ed), Academic Press: Elsevier: pp45-52.

Mangin, J.-F., Perrot, M., Operto, G., Cachia, A., Fischer, C., lLfèvre, J., & Rivière, D. (2015). Sulcus identification and labellingIn: Brain Mapping: An Encyclopedic Reference (Toga, A.W., ed), Academic Press: Elsevier: pp365-371.

Osojnik, A., Panov, P., & Dzeroski, S. (2015). Multi-label Classification via Multi-target Regression on Data StreamsDiscovery Science, 9356: 170-185.
Rast, A.D., Stokes, A.B., Davies, S., Adams, S.V., Akolkar, H., Lester, D.R., Bartolozzi, C., Cangelosi, A., & Furber, S. (2015). Transport-independent protocols for universal AER communicationsLecture Notes in Computer Science, 9492: 675-684.
Rodriguez-Lujan, L., Bielza, C., & Larrañaga, P. (2015). Regularized multivariate von Mises distributionAdvances in Artificial Intelligence, 9422: 25-35.
Schneider, M., Hirsch, S., Weber, B., Székeley, G., & Menze, B.H. (2015). TGIF: Topological gap in-fill for vascular networksMedical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 8674: 89-96.
Sorokin, A., Sorokina, O., & Armstrong, J.D. (2015). Rkappa: statistical sampling suite for Kappa modelsHybrid Systems Biology, 7699: 128-142.
Tauheed, F., Heinis, T., & Ailamaki, A. (2015). Configuring spatial grids for efficient main memory joinsData Science, 9147: 199-205.
Vannucci, L., Falotico, E., Di Lecce, N., Dario, P., & Laschi, C. (2015). Integrating feedback and predictive control in a bio-inspired model of visual pursuit implemented on a humanoid robotBiomimetic and Biohybrid Systems, 9222: 256-267.

Other relevant publications

Abdellah, M., Bilgili, A., Eilemann, S., Markram, H., & Schürmann, F. (2015). Physically-based in silico light sheet microscopy for visualizing fluorescent brain models5th Symposium on Biological Data Visualization (BioVis) 2015

Abdellah, M., Bilgili, A., Eilemann, S., Markram, H., & Schürmann, F. (2015). Physically-based in silico light sheet microscopy for visualizing fluorescent brain modelsBMC Bioinformatics, 16 Suppl 11: S8.

Akolkar, H., Meyer, C., Clady, X., Marre, O., Bartolozzi, C., Panzeri, S., & Benosman, R. (2015). What Can Neuromorphic Event-Driven Precise Timing Add to Spike-Based Pattern Recognition? Neural Computation, 27: 561-593.

Armendariz, M., Erb, J., De Martino, F., Formisano, E., & Vanduffel, W. (2015). Encoding of natural sounds in human and monkey auditory cortexFrontiers in Neuroinformatics: Second Belgian Neuroinformatics Congress.

Ben-Yakov, A., Dudai, Y., & Mayford, M.R. (2015). Memory retrieval in mice and menCold Spring Harbor Perspectives in Biology, 7: a021790.

Bettinardi, R. G., Tort-Colet, N., Ruiz-Mejias, M., Sanchez-Vives, M. V., & Deco, G. (2015). Gradual emergence of spontaneous correlated brain activity during fading of general anesthesia in rats: Evidences from fMRI and local field potentialsNeuroImage114: 185-198.

Bill, J., Buesing, L., Habenschuss, S., Nessler, B., Maass, W., & Legenstein, R. (2015). Distributed Bayesian computation and self-organized learning in sheets of spiking neurons with local lateral inhibitionPLoS One, 10: e0134356.

Boccara, C. N., Kjonigsen, L. J., Hammer, I. M., Bjaalie, J. G., Leergaard, T. B., & Witter, M. P. (2015). A threeplane architectonic atlas of the rat hippocampal regionHippocampus, 25: 838-857.

Caspers, J., Palomero-Gallagher, N., Caspers, S., Schleicher, A., Amunts, K., & Zilles, K. (2015). Receptor architecture of visual areas in the face and word-form recognition region of the posterior fusiform gyrusBrain Structure and Function, 220: 205-219.

Cieslik, E.C., Mueller, V.I., Eickhoff, C.R., Langner, R., & Eickhoff, S.B. (2015). Three key regions for supervisory attentional control: Evidence form neuroimaging meta-analysesNeuroscience and Biobehavioral Reviews, 4: 22-34.

Cijvat, R., Manegold, S., Kersten, M., Klau, G.W., Schönhuth, A., Marschall, T., & Zhang, Y. (2015). Genome sequence analysis with MonetDB: A case study on Ebola virus diversityDatenbank Spektrum, 15: 185-191.

Cohen, N., Pell, L., Edelson, M.G., Ben-Yakov, A., Pine, A., & Dudai, Y. (2015). Peri-encoding predictors of memory encoding and consolidationNeuroscience and Biobehavioral Reviews, 50: 128-142.

Cremer, J.N., Amunts, K., Schleicher, A., Palomero-Gallagher, N., Piel, M., Rösch, F., & Zilles, K. (2015). Changes in the expression of neurotransmitter receptors in Parkin and DJ-1 knockout mice--A quantitative multireceptor studyNeuroscience, 311: 539-551.

Cremer, J.N., Amunts, K., Graw, J., Piel, M., Rösch, F., & Zilles, K. (2015). Neurotransmitter receptor density changes in Pitx3ak mice--a model relevant to Parkinson's diseaseNeuroscience, 285: 11-23.

Dehaene, S., Dudai, Y., & Konen, C. (2015). Cognitive architecturesNeuron, 88: 1.

Dudai, Y., Karni, A., & Born, J. (2015). The consolidation and transformation of memoryNeuron, 88: 20-32.

Edelson, M.G., Shemesh, M., Weizman, A., Yariv, S., Sharot, T., & Dudai, Y. (2015). Opposing effects of oxytocin on overt compliance and lasting changes to memoryNeuropsychopharmacology, 40: 966-973.

Eickhoff, S.B., Thirion, B., Varoquaux, G., & Bzdok, D. (2015). Connectivity-based parcellation: critique and implicationsHuman Brain Mapping, 36: 4771-4792.

Faivre, N., Salomon, R., & Blanke, O. (2015). Visual consciousness and bodily self-consciousnessCurrent Opinion in Neurology, 28: 23-28.

Farisco, M., Laureys, S., & Evers, K. (2015). Externalization of Consciousness. Scientific Possibilities and Clinical ImplicationsCurrent Topics in Behavioural Neurosciences, 19: 205-222.

Fernandez-Gonzalez, P., Bielza, C., & Larranaga, P. (2015). Multidimensional classifiers for neuroanatomical dataICML Workshop on Statistics, Machine Learning and Neuroscience.

Galluppi, F., Lagorce, X., Stromatias, E., Pfeiffer, M., Plana, L.A., Furber, S.B., & Benosman, R.B. (2015). A framework for plasticity implementation on the SpiNNaker neural architectureFrontiers in Neuroscience, 8: 429.

Gardner, B., Sporea, I., & Grüning, A. (2015). Encoding Spike Patterns in Multilayer Spiking Neural NetworksarXiv

Himberg, T., Hirvenkari, L., Mandel, A., & Hari, R. (2015). Word-by-word entrainment of speech rhythm during joint story buildingFrontiers in Psychology, 6: 797.

Javdani, F., Holló, K., Hegedüs, K., Kis, G., Hegyi, Z., Dócs, K., Kasugai, Y., Fukazawa, Y., Shigemoto, R., & Antal, M. (2015). Differential expression patterns of K(+) /Cl(-) cotransporter 2 in neurons within the superficial spinal dorsal horn of ratsJournal of Comparative Neurology, 523: 1967-1983.

Jolivet, R., Coggan, J.S., Allaman, I., & Magistretti, P.J. (2015). Multi-timescale modeling of activity-dependent metabolic coupling in the neuron-glia-vasculature ensemblePLoS Computational Biology, 11: e1004036.

Kargin, Y., Kersten, M., Manegold, S., & Pirk, H. (2015). The DBMS - your big data sommelier2015 IEEE 31st International Conference on Data Engineering (ICDE): 1119-1130.

Kersten, M. (2015). Big data space fungusConference on Innovative data Systems Research (CIDR).

Kogler, L., Müller, V.I., Chang, A., Eickhoff, S.B., Fox, P.T., Gur, R.C., & Derntl, B. (2015). Psychosocial versus physiological stress - Meta-analyses on deactivations and activations of the neural correlates of stress reactionsNeuroImage, 119: 235-251.

Lorteije, J.A.M., Zylberberg, A., Ouelette, B.G., De Zeeuw, C.I., Sigman, M., & Roelfsema, P.R. (2015). The formation of hierarchical decisions in the visual cortexNeuron, 87: 1344-1356.

Ludmer, R., Edelson, M.G., & Dudai, Y. (2015). The Naïve and the Distrustful: state dependency of hippocampal computations in manipulative memory distortionHippocampus, 25: 240-252.

Luján, R., & Aguado, C. (2015). Localization and targeting of GIRK channels in mammalian central neuronsInternational Review of Neurobiology, 123: 161-200.

Maass, W. (2015). To spike or not to spike: that is the questionProceedings of the IEEE, 103: 2219-2224.

Magistretti, P.J., & Allaman, I. (2015). A cellular perspective on brain energy metabolism and functional imagingNeuron, 86: 883-901.

Mansouri, M., Kasugai, Y., Fukazawa, Y., Bertaso, F., Raynaud, F., Perroy, J., Fagni, L., Kaufmann, W.A., Watanabe, M., Shigemoto, R., & Ferraguti, F. (2015). Distinct subtypic localization of type 1 metabotropic glutamate receptors at glutamatergic and GABAergic synapses in the rodent cerebellar cortex. European Journal of Neuroscience, 41: 157-167.

Marre, O., Botella-Soler, V., Simmons, K.D., Mora, T., Tkačik, G., & Berry, M.J. 2nd. (2015). High accuracy decoding of dynamical motion from a large retinal populationPLoS Computational Biology, 11: e1004304.

Menzel, M., Dohmen, M., De Raedt, H., Michielsen, K., Amunts, K., & Axer, M. (2015). Simulation-based validation of the physical model in 3D polarized light imagingOptics in the Life Sciences: JT3A.33.

Menzel, M., Michielsen, K., De Raedt, H., Reckfort, J., Amunts, K., & Axer M. (2015). A Jones matrix formalism for simulating three-dimensional polarized light imaging of brain tissueJournal of the Royal Society Interface, 12: 20150734.

Mühleisen, H., Kersten, M., & Manegold, S. (2015). Capturing the laws of (data) nature7th Biennial Conference on Innovative Data Systems Research (CIDSR).

Navaridas, J., Luján, M., Plana, L.A., Temple, S., & Furber, S.B. (2015). SpiNNaker: enhanced multicast routingParallel Computing, 45: 49-66.

Nettekoven, C., Volz, L. J., Leimbach, M., Pool, E. M., Rehme, A. K., Eickhoff, S. B., Fink, G. R. & Grefkes, C. (2015). Inter-individual variability in cortical excitability and motor network connectivity following multiple blocks of rTMSNeuroImage,118: 209-218.

New, A. B., Robin, D. A., Parkinson, A. L., Eickhoff, C. R., Reetz, K., Hoffstaedter, F., Mathys, C., Sudmeyer, M., Michely, J., Caspers, J., Grefkes, C., Larson, C. R., Ramig, L. O., Fox, P. T. & Eickhoff, S. B. (2015). The intrinsic resting state voice network in Parkinson's diseaseHuman Brain Mapping36: 1951-1962.

Noy, N., Bickel, S., Zion-Golumbic, E., Harel, M., Golan, T., Davidesco, I., Schevon, C.A., McKhann, G.M., Goodman, R.R.,  Schroeder, C.E., Mehta, A.D., & Malach, R. (2015). Ignition's glow: ultra-fast spread of global cortical activity accompanying local "ignitions" in visual cortex during conscious visual perceptionConsciousness and Cognition, 35: 206-224.

Orchard, G., Lagorce, X., Posch, C., Furber, S. B., Benosman, R., & Galluppi, F. (2015, May). Real-time event-driven spiking neural network object recognition on the SpiNNaker platform2015 IEEE International Symposium on Circuits and Systems (ISCAS): 2413-2416.

Patera, A., Astolfo, A., Mader, K.S., Schneider, M., Weber, B., & Stampanoni, M. (2015). Towards the reconstruction of the mouse brain vascular networks with high-resolution synchtrotron radiation X-ray tomographic microscopyMedical Applications of Synchrotron Radiation (MASR2015), poster.

Patera, A., Astolfo, A., Mader, K.S., Schneider, M., Weber, B., & Stampanoni, M. (2015). Towards the reconstruction of the mouse brain vascular networks with high-resolution synchtrotron radiation X-ray tomographic microscopy2nd International Conference on Tomography of Materials and Structures (ICTMS) 2015, poster. 

Pessiglione, M., & Delgado, M.R. (2015). The good, the bad and the brain: neural correlates of appetitive and aversive values underlying decision makingCurrent Opinion in Behavioral Sciences, 5: 78-84.

Poeppl, T. B., Eickhoff, S. B., Fox, P. T., Laird, A. R., Rupprecht, R., Langguth, B., & Bzdok, D. (2015). Connectivity and functional profiling of abnormal brain structures in pedophiliaHuman Brain Mapping36: 2374-2386.

Ponce-Alvarez, A., Deco, G., Hagmann, P., Romani, G. L., Mantini, D., & Corbetta, M. (2015). Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and HeterogeneityPLoS Computational Biology11: e1004100.

Pool, E. M., Rehme, A. K., Eickhoff, S. B., Fink, G. R., & Grefkes, C. (2015). Functional resting-state connectivity of the human motor network: Differences between right-and left-handersNeuroImage109: 298-306.

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