2016 Publications

74 HBP-funded scientific publications in 2016

Adhikari, P.R., Vavpetič, A., Kralj, J., Lavrač, N., & Hollmen, J. (2016). Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix VisualizationMachine Learning: 1-37.

Cellot, G., Maggi, L., Di Castro, M.A., Catalano, M., Migliore, R., Migliore, M., Scattoni, M.L., Calamadrei, G., & Cherubini, E. (2016). Premature changes in neuronal excitability account for hippocampal network impairment and autistic-like behavior in neonatal BTBR T+tf/J miceScientific Reports: 31696.

Dayan, E., Sella, I., Mukovskiy, A., Douek, Y., Giese, M. A., Malach, R., & Flash, T. (2016). The default mode network differentiates biological from non-biological motionCerebral Cortex, 26(1): 234-245.

Dehghani, N., Peyrache, A., Telenczuk, B., Le Van Quyen, M., Halgren, M., Cash, S., Hatsopoulos, NG., & Destexhe, A. (2016). Dynamic balance of excitation and inhibition in human and monkey neocortex. Scientific Reports, 6:23176. 

Diamond, A., Nowotny, T., & Schmuker, M. (2016). Comparing neuromorphic solutions in action:implementing a bio-inspired solution to a benchmark classification task on three parallel-computing platforms. Frontiers in Neuroscience, 9: 491. 

Diamond, A., Schmuker, M., Berna, A.Z., Trowell, S., & Nowotny, T. (2016). Classifying continuous real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory systemBioinspiration and Biomimetics, 11: 026002.

Dubois, J., Poupon, C., Thirion, B., Simonnet, H., Kulikova, S., Leroy, F., ... & Dehaene-Lambertz, G. (2016). Exploring the early organization and maturation of linguistic pathways in the human infant brainCerebral Cortex26(5): 2283-2298.

Eickhoff, S., Nichols, T.E., Van Horn, J.D., & Turner, A. (2016). Sharing the wealth: Neuroimaging data repositories. Neuroimage, 124: 1065-1068.

Eising, E., Huisman, S.M., Mahfouz, A., Vijfhuizen, L.S., Anttila, V., Winsvold, B.S., ... & Reinders, M.J. (2016). Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain AtlasHuman Genetics, 135: 425-439.

Farisco, M., Evers, K., & Salles, A. (2016). Big Science, Brain Simulation, and NeuroethicsAmerican Journal of Bioethics Neuroscience, 7: 28-30. 

Furber, S.B. (2016). Brain-inspired computing. IET Computers and Digital Techniques, doi: 10.1049/iet-cdt.2015.0171. 

Furber, S.B. (2016). Large-scale neuromorphic computing systems. Journal of Neural Engineering, 13: 5. 

Gabitov, E., Manor, D., & Karni, A. (2016). Learning from the other limb's experience: sharing the 'trained' M1 representation of the motor sequence knowledge. Journal of Physiology, 594: 169–188.

Gamberger, D., Zenko, B., Mitelpunkt, A., Schachar, N., & Lavrač, N. (2016). Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Brain Informatics, 3: 169-179. 

Gilson, M., Moreno-Bote, R., Ponce-Alvarez, A., Ritter, P., & Deco, G. (2016). Estimation of directed effective connectivity from fMRI functional connectivity hints at asymmetries of cortical connectome. PLoS Computational Biology, 125: e1004762.

Gomes, J.M., Bédard, C., Valtcheva, S., Nelson, M., Khokhlova, V., Pouget, P., Venance, L., Bal, T., & Destexhe, A. (2016). Intracellular impedance measurements reveal non-ohmic properties of the extracellular medium around neurons. Biophysical Journal, 110: 234-246. 

Gonen, T., Soreq, E., Eldar, E., Ben-Simon, E., Raz, G., & Hendler, T. (2016). Human mesostriatal response tracks motivational tendencies under naturalistic goal conflictSocial Cognition and Affective Neuroscience, 110: 961-972. 

Gustus, A., & van der Smagt, P. (2016). Evaluation of joint type modelling in the human hand. Journal of Biomechanics, doi: 10.1016/j.jbiomech.2016.07.018.

Hänel, C., Weyers, B., Hentschel, B., & Kuhlen, T.W. (2016). Visual quality adjustment for volume rendering in a head-tracked virtual environment. IEEE Transactions on Visualizations and Computer Graphics, 22: 1472-1481. 

Henssen, A., Zilles, K., Palomero-Gallagher, N., Schleicher, A., Mohlberg, H., Gerboga, F., Eickhoff, S.B., Bludau, S., & Amunts, K. (2016). Cytoarchitecture and probability maps of the human medial orbitofrontal cortex. Cortex, 75: 87-112.

Hesseg, R.M., Gal, C., Karni, A. (2016). Not quite there: skill consolidation in training by doing or observingLearning and Memory, 23: 189-194. 

Hinkel, G., Denninger, O., Krach, S., & Groenda, H. (2016). Experiences with model-driven engineering in neuroroboticsModelling Foundations and Applications, 9764: 217-228.

Jalalvand, E., Robertson, B., Tostivint, H., Wallén, P., & Grillner, S. (2016). The spinal cord has an intrinsic system for the control of pH. Current Biology, 26: 1346-1351. 

Jalalvand, E., Robertson, B., Wallén, P., & Grillner, S. (2016). Ciliated neurons lining the central canal sense both fluid movement and p through ASIC13. Nature Communications, 7: 10002. 

Jonke, Z., Habenschuss, S., & Maass, W. (2016). Solving constraint satisfaction problems with networks of spiking neurons. Frontiers in Neuroscience, 10: 118.

Knight, J.C., Tully, P.J., Kaplan, B.A., Lansner, A., & Furber, S.B. (2016). Large-scale simulations of plastic neural networks on neuromorphic hardware. Frontiers in Neuroanatomy, 10: 37. 

Knoll, A, Röhrbein, F, & Walter, F. (2016). Computation by TimeNeural Processing Letters, 44:103-124.

Krach, S., Hinkel, G., & Denninger, O. (2016). Integration testing of neural robot controllers using formal experiment descriptions based on SCXML. 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems: 3rd Workshop on Engineering Interactive Systems with SCXML.

Lewis, C. M., Bosman, C. A., Womelsdorf, T., & Fries, P. (2016). Stimulus-induced visual cortical networks are recapitulated by spontaneous local and interareal synchronizationProceedings of the National Academy of Sciences, 113(5), E606-E615.

Leguey, I., Bielza, C., Larrañaga, P., Kastanauskaite, A., Rojo, C., Benavides-Piccione, R., & DeFelipe, J. (2016). Dendritic branching angles of pyramidal cells across layers of the juvenile rat somatosensory cortex. Journal of Comparative Neurology, 524: 2567-2576 

Lorio, S., Fresard, S., Adaszewski, S., Kherif, F., Chowdhury, R., Frackowiak, R., Ashburner, J., Helms, G., Weiskopf, N., Lutti, A., & Draganski, B. (2016). New tissue priors for improved automated classification of subcortical brain structures on MRI. Neuroimage, 130: 157-166.

Lorio, S., Kherif, F., Ruef, A., Melie-Garcia, L., Frackowiak, R., Ashburner, J., Helms, G., Lutti, A., & Draganski, B. (2016). Neurobiological origin of spurious brain morphologcal changes: A quantitative MRI study. Human Brain Mapping, 370: 1801-1815. 

Lupascu, C.A., Morabito, A., Merenda, E., Marinelli, S., Marchetti, C., Migliore, R., Cherubini, E., & Migliore, M. (2016). A General Procedure to Study Subcellular Models of Transsynaptic Signaling at Inhibitory SynapsesFrontiers in Neuroinformatics, 10: 23.

Luján, R. (2016). Pre-embedding Methods for the Localization of Receptors and Ion ChannelsReceptor and Ion Channel Detection in the Brain: Methods and Protocols, 191-210.

Luján, R., & Watanabe, M. (2016). Post-embedding Immunohistochemistry in the Localisation of Receptors and Ion ChannelsReceptor and Ion Channel Detection in the Brain: Methods and Protocols, 211-232.

Mahfouz, A., Lelieveldt, B.P., Grefhorst, A., van Weert, L.T., Mol, I.M., Sips, H.C., ... & Meijer, O.C. (2016). Genome-wide coexpression of steroid receptors in the mouse brain: Identifying signaling pathways and functionally coordinated regions. Proceedings of the National Academy of Sceinces of the United States of America, 113: 2738-2743.

Malikovic, A., Amunts, K., Schleicher, A., Mohlberg, H., Kujovic, M., Palomero-Gallagher, N., ... & Zilles, K. (2016). Cytoarchitecture of the human lateral occipital cortex: mapping of two extrastriate areas hOc4la and hOc4lpBrain Structure and Function221(4), 1877-1897.

Mandel, A., Bourguignon, M., Parkkonen, L., & Hari, R. (2016). Sensorimotor activation related to speaker vs. listener role during natural conversationNeuroscience Letters, 614, 99-104.

Mangin, J.F., Lebenberg, J., Lefranc, S., Labra, N., Auzias, G., Labit, ... & Sun, Z.Y. (2016). Spatial normalization of brain mages and beyondMedical Image Analysis, 33: 127-133.

Mensi, S., Hagens, O., Gerstner, W., & Pozzorini, C. (2016). Enhanced sensitivity to rapid input fluctuations by nonlinear thresholf dynamics in neocortical pyramidal neuronsPLoS Computational Biology, 12: e1004761. 

Mensch, A., Varoquaux, G., & Thirion, B. (2016). Compressed online dictionary learning for fast fMRI decomposition. ICML Workshop on Statistics, Machine Learning and Neuroscience.

Osojnik, A., Panov, P., & Džeroski, S. (2016). Comparison of Tree-Based Methods for Multi-target Regression on Data Streams. In International Workshop on New Frontiers in Mining Complex Patterns (17-31). Springer International Publishing.

Panov, P., Soldatova, L. N., & Džeroski, S. (2016). Generic ontology of datatypesInformation Sciences, 329, 900-920.

Papp, E.A., Leergaard, T.B., Csucs, G., & Bjaalie, J.G. (2016). Brain-Wide Mapping of Axonal Connections: Workflow for Automated Detection and Spatial Analysis of Labeling in Microscopic Sections. Frontiers in Neuroinformatics, 10: 11.  

Pavlovic, M., Heinis, T., Tauheed, F., & Karras, P. (2016). TRANSFORMERS: Robust spatial joins on non-uniform data distributions2016 IEEE 32nd International Conference on Data Engineering (ICDE), 673-684.

Pecevski, D., & Maass, W. (2016). Learning probabilistic inference through spike-timing-dependent plasticity. eNeuro, 3: 0048-15.2016.

Pfeil, T., Jordan, J., Tetzlaff, T., Grübl, A., Schemmel, J., Diesmann, M., & Meier, K. (2016). Effect of heterogeneity on decorrelation mechanisms in spiking neural networks: a neuromorphic-hardware studyPhysical Review X, 6: 021023.

Porrero, C., Rodriguez-Moreno, J., Quetglas, J.I., Smerdou, C., Furuta, T., & Clascá, F. (2016). A simple and efficient in vivo non-viral RNA transfection method for labelling the whole axonal tree of individual adult long-range projection neuronsFrontiers in Neuroanatomy, 10: 27.

Radke, S., Seidel, E.M., Eickhoff, S.B., Gur, R.C., Schneider, F., Habel, U., & Derntl, B. (2016). When opportunity meets motivation: Neural engagement during social approach is linked to high approach motivation. Neuroimage, 127: 267-276. 

Reid, A. T., Bzdok, D., Langner, R., Fox, P. T., Laird, A. R., Amunts, K., ... & Eickhoff, C. R. (2016). Multimodal connectivity mapping of the human left anterior and posterior lateral prefrontal cortexBrain Structure and Function, 221(5), 2589-2605.

Reid, A.T., Lewis, J., Bezgin, G., Khundrakpam, B., Eickhoff, S.B., McIntosh, A.R., Bellec, P., & Evans, A.C. (2016). A cross-modal, cross-species comparison of connectivity measures in the primate brain. Neuroimage, 125: 311-331.

Richter, C., Jentzsch, S., Hostettler, R., Garrido, J.A., Ros, E., Knoll, A.C., Röhrbein, F., van der Smagt, P., & Conradt, J. (2016). Scalability in Neural Control of Musculoskeletal RobotsIEEE Robotics and Automation, doi: 10.1109/MRA.2016.2535081.

Rojo C., Leguey I., Kastanauskaite A., Bielza C., Larrañaga P., DeFelipe J., & Benavides-Piccione R. (2016). Laminar differences in dendritic structure of pyramidal neurons in the juvenile rat somatosensory cortex. Cerebral Cortex, 26: 2811-2822.

Romani S., Katkov M., & Tsodyks M. (2016). Practice makes perfect in memory recall. Learning and Memory, 23: 169-173.

Saygili, G., Staring, M., & Hendriks, E.A. (2016). Confidence Estimation for Medical Image Registration Based On Stereo ConfidencesIEEE Transactions on Medical Imaging, 35(2), 539-549.

Self, M.W., Peters, J.C., Possel, J.K., Reithler, J., Goebel, R., Ris, P., Jeurissen, D., Reddy, L., Claus, S., Baayen, J.C., & Roelfsema, P.R. (2016). The effects of context and attention on spiking activity in human early visual cortexPLoS Biology, 14: e1002420.

Silvestri, L., Costantini, P., Sacconi, L., & Pavone, F.S. (2016). Clearing of fixed tissue: a review from a microscopist's perspectiveJournal of Biomedical Optics, 21: 081205.

Stahl, B.C., Timmermans, J., & Mittelstadt, B.D. (2016). The Ethics of Computing: A Survey of the Computing-Oriented LiteratureACM Computing Surveys, 48: 55.

Tanevski, J., Todorovsk,i L., & Dzerovski, S. (2016). Learning stochastic process-based models of dynamical systems from knowledge and dataBMC Systems Biology, 10: 30.

Teppola, H., Sarkanen, J. R., Jalonen, T. O., & Linne, M. L. (2016). Morphological Differentiation Towards Neuronal Phenotype of SH-SY5Y Neuroblastoma Cells by Estradiol, Retinoic Acid and Cholesterol. Neurochemical Research, 41(4), 731-747.

Toharia, P., Robles, O.D., Fernaud-Espinosa, I., Makarova, J., Galindo, S.E., Rodriguez, A., Pastor, L., Herreras, O., DeFelipe, J., & Benavides-Piccione, R. (2016). PyramidalExplorer: A new interactive tool to explore morpho-functional relations of human pyramidal neuronsFrontiers in Neuroanatomy, 9: 159.

Torre, E., Canova, C., Denker, M., Gerstein, G., Helias, M., & Grün, S. (2016). ASSET: analysis of sequences of synchronous events in massively parallel spike trains. PLoS Computational Biology, 125: e1004939.

van Unen, V., Li, N., Molendijk, I., Temurhan, M., Höllt, T., van der Meulen-de Jong, A.E., ... & Koning, F. (2016). Mass Cytometry of the Human Mucosal Immune System Identifies Tissue- and Disease-Associated Immune Subsets. Immunity, 44: 1227-1239.

Walter, F., Röhrbein, F., & Knoll, A. (2016). Computation by Time. Neural Processing Letters, 44(1): 103-124.

Weiner, K.S., & Zilles, K. (2016). The anatomical and functional specialization of the fusiform gyrusNeuropsychologia, 83: 46-62. 

Yegenoglu, A., Quaglio, P., Torre, E., Grün, S., & Endres, D. (2016). Exploring the usefulness of formal concept analysis for robust detection of spatio-temporal spike patterns in massively parallel spike trains. Graph-Based Representation and Reasoning, 9171: 3-16.

Yetman, M. J., Lillehaug, S., Bjaalie, J. G., Leergaard, T. B., & Jankowsky, J. L. (2016). Transgene expression in the Nop-tTA driver line is not inherently restricted to the entorhinal cortexBrain Structure and Function, 221(4), 2231-2249.

Yousefzadeh, A., Plana, L.A., Temple, S., Serrano-Gotarredona, T., Furber, S.B., & Linares-Barranco, B. (2016). Fast predictive handshaking in synchronous FPGAs for fully asynchronous multisymbol chip links: application to SpiNNaker 2-of-7 linksIEEE Transactions on Circuits and Systems II: Express Briefs, 63: 763-767.

Zehl, L., Jaillet, F., Stoewer, A., Grewe, J., Sobolev, A., Wachtler, T., Brochler, T.G., Riehle, A., Denker, M., & Grün, S. (2016). Handling metadata in a neurophysiology laboratory. Frontiers in Neuroinformatics, 10: 26. 

Zeineh, M.M., Palomero-Gallagher, N., Axer, M., Gräßel, D., Goubran, M., Wree, A., Woods, R., Amunts, K., & Zilles, K. (2016). Direct visualization and mapping of the spatial course of fiber tracts at micsoscopic resolution in the human hippocampusCerebral Cortex, doi: 10.1093/cercor/bhw010.

Zerlaut, Y, Teleńczuk, B, Deleuze, C, Bal, T, Ouanounou, G, & Destexhe, A. (2016). Heterogeneous firing rate response of mouse layer V pyramidal neurons in the fluctation-driven regime. Journal of Physiology, 594: 3791-3808.

Zielasko, D., Horn, S., Freitag, S., Weyers, B., & Kuhlen, T.W. (2016). Evaluation of hands-free HMD-based navigation techniques for immersive data analysis2016 IEEE Symposium on 3D User Interfaces (3DUI), 113-119.

Zielasko, D., Weyers, B., Hentschel, B., & Kuhlen, T.W. (2016). Interactive 3D force-directed edge bundling. Eurographics, 35.

Zhou, G., Bourguignon, M., Parkkonen, L., & Hari, R. (2016). Neural signatures of hand kinematics in leaders vs. followers: a dual-MEG study. Neuroimage, 125, 731-738.

Books and book chapters

Farisco, M., & Evers, K. (Eds.). (2016). Neurotechnology and Direct Brain Communication: New insights and responsibilities concerning speechless but communicative subjects. Routledge, New York.

Frégnac, Y., Fournier, J., Gérard-Mercier, F., Monier, C., Pananceau, M., Carelli, P., & Troncoso, X. (2016). The visual brain: computing through multiscale complexityMicro-, Meso- and Macro-Dynamics of the Brain: 43-57.

Harada, H., & Shigemoto, R. (2016). Immunogold protein localization on grid-glued freeze-fracture replicas. In: High Resolution imaging of Proteins and Tissues in Cells: Light and Electron Microscopy Methods and Protocols - Methods in Molecular Biology (Schwartzbach, S.D. & Schikorski, T. (eds)).

Kandel, E.R., Dudai, Y., & Mayford, M.R. (eds). (2016). Learning and Memory: A Cold Spring Harbor Perspectives in Biology Collection. Cold Spring Harbor Press, New York.

Rückert, U. (2016). Brain-Inspired Architectures for Nanoelectronics. In: CHIPS 2020 Vol 2 (Springer; Heidelberg): pp249-274.

Salles, A. Brain-imaging and privacy concerns. (2016). In: Neurotechnology and Direct Brain Communication: New insights and responsibilities concerning speechless but communicative subjects. Routledge, New York, 143-156. 

Zilles, K., Palomero-Gallagher, N, Gräßel, D., Schlömer, P., Cremer, M., Woods, R., Amunts, K., & Axer, M. High-resolution fiber and fiber tract imaging using polarized light microscopy in the human, monkey, rat, and mouse brain. In: Axons and Brain Architecture (Rockland, K. ed). Elsevier, London.

Other relevant publications

Aicardi C, Del Savio L, Dove ES, Lucivero F, Tempini N, Prainsack P. (2016). Emerging ethical issues regarding digital health data. On the World Medical Association Draft Declaration on Ethical Considerations Regarding Health Databases and BiobanksCroatian Medical Journal, 57: 207-213.

Allegra Mascaro, A.L., Sacconi, L., Silvestri, L., Knott, G., & Pavone, F.S. (2016). Multi-modal optical imaging of the cerebellum in animalsCerebellum, 15: 18-20.

Bludau, S., Bzdok, D., Gruber, O., Kohn, N., Riedl, V., Sorg, C., Palomero-Gallagher, N., Hoffstaedter, F., Amunts, K., & Eickhoff, S.B. (2016). Medial Prefrontal Aberrations in Major Depressive Disorder Revealed by Cytoarchitectonically Informed Voxel-Based MorphometryAmerican Journal of Psychiatry, 173: 291-298.

Calì, C., Baghabra, J., Boges, D.J., Holst, G.R., Kreshuk, A., Hamprecht, F.A., Srinivasan, M., Lahväslaiho, H., & Magistretti, P.J. (2016). Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissuesJournal of Comparative Neurology, 524: 23-38.

Christen, M., Biller-Andorno, N., Bringedal, B., Grimes, K., Savulescu, J., &  Walter, H. (2016). Ethical Challenges of Simulation-Driven Big NeuroscienceAmerican Journal of Bioethics Neuroscience, 7: 5-17.

Evers, K. (2016). Neurotechnological assessment of consciousness disorders: five ethical imperativesDialogues in Clinical Neuroscience, 18: 155-162.

Farisco, M., Evers, K., & Salles, A. (2016). Big Science, Brain Simulation, and NeuroethicsAmerican Journal of Bioethics Neuroscience, 7: 28-30.

Gerard-Mercier, F., Carelli, P.V., Pananceau, M., Troconso, X.G., & Frégnac, Y. (2016). Synaptic correlates of low-level perception in V1Journal of Neuroscience, 36: 3925-3942.

Harada, H., & Shigemoto, R. (2016). High-resolution localization of membrane proteins by SDS-digested freeze-fracture replica labeling (SDS-FRL)Receptor and Ion Channel Detection in the Brain, 110: 233-245.

Løkkegaard, A., Herz, D.M., Haagensen, B.M., Lorentzen, A.K., Eickhoff, S.B., & Siebner, H.R. (2016). Altered sensorimotor activation patterns in idiopathic dystonia-an activation likelihood estimation meta-analysis of functional brain imaging studiesHuman Brain Mapping, 37: 547-557.

Mathys, C., Caspers, J., Langner, R., Südmeyer, M., Grefkes, C., Reetz, K., Moldovan, A.S., Michely, J., Heller, J., Eickhoff, C.R., Turowski, B., Schnitzler, A., Hoffstaedter, F., & Eickhoff, S.B. (2016). Functional Connectivity Differences of the Subthalamic Nucleus Related to Parkinson's DiseaseHuman Brain Mapping, 37: 1235-1253.

Muhle-Karbe, P.S., Derrfuss, J., Lynn, M.T., Neubert, F.X., Fox, P.T., Brass, M., & Eickhoff, S.B. (2016). Co-Activation-Based Parcellation of the Lateral Prefrontal Cortex Delineates the Inferior Frontal Junction AreaCerebral Cortex, 26: 2225-2241.

Sallin, K., Lagercrantz, H., Evers, K., Engström, I., & Petrovic P. (2016). Resignation syndrome: catatonia? Culture-bound? Frontiers in Behavioral Neuroscience, 10: 7.

Salomon, R., Galli, G., Lukowska, M., Faivre, N., Ruiz, J.B., & Blanke, O. (2016). An invisible touch: body-related multisensory conflicts modulate visual consciousnessNeuropsychologia, 88: 131-139.

Schellenberger Costa, M., Born, J., Claussen, J.C., & Martinetz, T. (2016). Modeling the effect of sleep regulation on a neural mass modelJournal of Computational Neuroscience, 41: 15-28.