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Topic: associative memories

ePoster
2 ePosters

In Biology and Computational Neuroscience

ePoster · Computational Neuroscience

Stable geometry is inevitable in drifting neural representations

Evan Schaffer · COSYNE 2023

Fri, Mar 10, 2023

In many brain regions, the stimulus tuning of neurons is stable on a timescale of hours but not on a timescale of weeks, a phenomenon often called ‘representational drift’. For example, in piriform cortex, which is commonly considered primary olfactory cortex, the cells responsive to a given odor are completely uncorrelated with those activated by the same odor two weeks later (Schoonover et al., 2021). This would seem to imply that piriform cortex, like other brain regions whose activity appears to drift, is useless for the retrieval of associative memories learned several weeks prior. Howeve

ePoster · Computational Neuroscience

A homeostatic mechanism or statistics can maintain input-output relations of multilayer drifting assemblies

Simon Altrogge, Raoul-Martin Memmesheimer · Bernstein Conference 2024

Associative memories might be represented by groups of strongly interconnected neurons, called neuronal assemblies. Recent experimental findings suggest that such assemblies are not static but composed of different neurons at different times [1]. A theoretical model reproducing these findings is given by drifting assemblies [2]: In a gradual process, assemblies exchange individual neurons between one another due to ever-present synaptic plasticity. So far, only single-layer networks of drifting assemblies have been considered. Biological neuronal assemblies are, however, thought to be distribu