
Computation in Biological and Synthetic Networks
Overview
We seek to understand how information is processed by networks of biological and synthetic elements at multiple scales, from biochemical networks in synapses to ensemble neural activity in the brain and in silico. We are particularly interested in the representations (patterns of activity) and manifold structure that implements computation via controlling the dynamical evolution of the patterns. This is very different than how computers work. Advancing our knowledge in this area will help us understand and treat illnesses of the brain, and inspire the development of new brain-like computing technologies that are more efficient and robust than current computers.
Open Positions:
- PDF and PhD positions in computational neuroscience and neuromorphic engineering. Exceptional candidates with strong quantitative backgrounds in Math, Physics, Engineering, Computational Neuroscience, and/or Computer Science are welcome to apply.
- PDF in systems neuroscience using optogenetics to study representations and neural dynamics of decision-making in behaving animals.
- PDF position to study dynamics and learning in neural cultures.
