Professor Claudia Clopath, Imperial College London, UK : "Temporal backbone for rapid compressible learning in hippocampus"
Speaker:
Professor Claudia Clopath
Computational Neuroscience Laboratory
Bioengineering Department, Imperial College London, UK
Title: "Temporal backbone for rapid compressible learning in hippocampus"
Abstract:
The hippocampus is capable of rapidly learning incoming information, even if that information is only observed once. Further, this information can be replayed in a compressed format in either forward or reversed modes during Sharp Wave Ripples (SPW-R). We leveraged state-of-the-art techniques in training recurrent spiking networks to demonstrate how primarily interneuron networks of neurons can: 1) generate internal theta sequences to bind externally elicited spikes in the presence of septal inhibition, 2) compress learned spike sequences in the form of a SPW-R when septal inhibition is removed, 3) generate and refine gamma-assemblies during SPW-R mediated compression, and 4) regulate the inter-ripple-interval timing between SPW-R's in ripple clusters. From the fast time scale of neurons to the slow time scale of behaviors, interneuron networks serve as the scaffolding for one-shot learning by replaying, reversing, refining, and regulating spike sequences.
This is work with Wilten Nicola.
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