Stability of assemblies in neuronal networks
Dates:April 2, 2018 - June 29, 2018
Application deadline:June 29, 2018
~ April-June 2018
Long-term memory is thought to be mediated by synaptic plasticity. However, the stability of the neuronal assemblies emerging because of synaptic changes is still an open question. Indeed, cortical networks are made of sparsely interconnected excitatory and inhibitory neurons in a so-called balanced regime, with a spontaneous activity appearing to be problematic from a memory retention point of view. In this rotation, the student will become familiar with one the most used neuronal network simulator, Brian, and use it to build neuronal networks and study the stability of neuronal assemblies in recurrent networks under several plasticity rules. The project will give a broad overview of canonical concepts in computational neuroscience by using integrate-and-fire neurons and modeling plasticity rules.
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