Bogacz Group | mrcbndu
Our group uses computer simulations and mathematical analyses to understand learning, information processing and activity dynamics of brain networks. We use these models to investigate how neural circuits work in the healthy state, how their dynamics deteriorate in neurological disorders, and how their dynamics and information processing may be best restored by treatments. The research in our group is performed in close collaboration with experimental neuroscientists within the MRC Unit, at the University of Oxford, and beyond. Our work focuses on three central themes. First, we investigate models of learning and information processing in the cerebral cortex. We seek a fundamental common principle describing computations in different areas of the cortex performing diverse functions. We are particularly interested in the predictive coding framework, which assumes that cortical areas build probabilistic models of the world and use this model to infer the most appropriate behaviour. Secon
Bogacz Group | BNDU Skip to main content Groups Bogacz Group Bogacz Group Models of brain decision networks Our group uses computer simulations and mathematical analyses to understand learning, information processing and activity dynamics of brain networks. We use these models to investigate how neural circuits work in the healthy state, how their dynamics deteriorate in neurological disorders, and how their dynamics and information processing may be best restored by treatments. The research in our group is performed in close collaboration with experimental neuroscientists within the MRC Unit,
related reading
- Cowley group at CSHLcowleygroup.cshl.edu
- Introduction — Neuromatch Academy: Computational Neurosciencecompneuro.neuromatch.io
- So how does learning work?cs.mcgill.ca
- A brain-wide map of neural activity during complex behaviournature.com
- Volitional control of individual neurons in the human brainpmc.ncbi.nlm.nih.gov
- The worminator project postpreprintarxiv.org
- Computational and systems neuroscience: The next 20 yearspmc.ncbi.nlm.nih.gov
- Brain–computer interface - Wikipediaen.wikipedia.org
- To Be Energy-Efficient, Brains Predict Their Perceptions | Quanta Magazinequantamagazine.org
- [2308.06578] The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactionsarxiv.org
- No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuitbiorxiv.org
- Notes towards Neurostimulation and Mathematical Neurosciencebernoullicollective.org