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Topic: odor-evoked activity

Seminar
1 seminar

In Cognition and Computational Neuroscience

Seminar · Computational Neuroscience

Properties of memory networks with excitatory-inhibitory assemblies

Claire Meissner-Bernard · Friedrich Miescher Institute for biomedical research,Basel

Wed, Dec 18, 2024 · 16:00 UTC

Classical views suggest that memories are stored in assemblies of excitatory neurons that become strongly interconnected during learning. However, recent experimental and theoretical results have challenged this view, leading to the hypothesis that memories are encoded in assemblies containing both excitatory (E) and inhibitory (I) neurons. Understanding the effects of these E-I assemblies on memory function is therefore essential. Using a biologically constrained model of an olfactory memory network, I will first describe how introducing E-I assemblies reorganizes odor-evoked activity pattern