Cognitive functions of the brain, such as sensory perception, learning and memory, and decision-making emerge from computations by neural networks. The advantages of biological neural computation in comparison with machine computation reside in the way that the brain’s neural circuits implement computation. To uncover neural code and circuit mechanisms of brain computing, the unit takes computational and theoretical approaches. The goal is to construct a minimal yet effective description of powerful and flexible computation implemented by the brain’s neural circuits.
Computations in idling brain states for memory, reasoning, and beyond
Dendritic computation for network-level computing and learning
Deciphering neural code in large-scale neural activity data
Spike-based learning and computing theories (for neuro-AI)
Postdoc opportunities
We are interested in hiring postdocs with strong background in computational neuroscience, physics, and applied mathematics. Interested candidates are requested to send their resumes to tomoki.fukai[at]oist.jp.
