Tushar Chauhan is a neuroscientist with a keen interest in bio-inspired AI. His work focusses on understanding computations in sensory cortices - both for placing sensory computation in an evolutionary context, as well as drawing inspiration from biological solutions to create highly efficient, robust artificial systems. His methodology is versatile, and an important part of his toolkit includes simulations of neural circuits at various levels of abstraction.
He is a Postdoctoral Research Associate at the Bear Lab, Picower Institute of Learning and Memory, MIT.
Could Julia be uniquely well-suited for rapidly developing new approaches to simulate the brain ? What if neuroscientists could use a composable set of tools to craft models of ion channels, compartmentalized neuronal morphology, networks of LIF or conductance-based neurons, reinforcement learning, and everything in-between?
Join the discussion on the bof-voice channel in discord.