June 28, 2022

This robot explores the world like a rat - and now thinks a little bit more like one, too

Whiskeye, the rodent-inspired robot capable of exploring the world by using two camera eyes and 24 artificial whiskers arranged in a mechanical nose, has now developed a cognitive model that is also inspired by organic brains. Two HBP focus areas (Work Package 2, ‘Networks underlying brain cognition and consciousness’ and Work Package 3, ‘Adaptive networks for cognitive architectures: from advanced learning to neurorobotics and neuromorphic applications’) have now collaborated to build three new coding models of perception capable of performing prediction and learning, in a way that’s similar to how a rat’s brain, or indeed our own, does it.

June 22, 2022

HBP scientists have simulated how the Parkinson’s brain responds to deep stimulation at multiple scales

Researchers of the Human Brain Project have created the first multiscale model of how a Parkinson’s brain responds to deep brain stimulation. Deep brain stimulation is a common method to treat Parkinson's symptoms, but currently outcomes of the invasive treatment are hard to predict. Modeling and simulating electric stimulation across multiple levels of brain networks can help clinicians “preview” their effects and plan therapies accordingly.

June 20, 2022

How EBRAINS is used to investigate disorders of consciousness

Understanding consciousness is one of the greatest challenges of neuroscience. Is it possible to develop brain-based measures of consciousness? Why does it fade and recover during transitions across brain states? Researchers at the Human Brain Project (HBP) are addressing this challenge by merging new clinical methods and advanced brain modelling on the EBRAINS research infrastructure. Over the past years, they used a novel approach to investigate brain activity in conscious and unconscious states from the micro-level to the whole brain.

June 3, 2022

Brain simulation augments machine-learning–based classification of dementia

Brain simulation methods can be used to improve the classification of dementia and could in the future constitute a new diagnostic tool to help direct patients towards the right treatment. These are the conclusions suggested by a new paper by HBP researchers, published in the Alzheimer’s & Dementia: Translational Research & Clinical Interventions (TRCI) journal. The findings provide a proof of concept for the use of the Virtual Brain simulation platform as a personalisation tool not only for treatment, but also for early stages of diagnosis.