Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning
Wednesday, February 19, 2025
16:00 UTC
Jens-Bastian Eppler
Centre de Recerca Matemàtica Barcelona
Recording
Open recording
Hosted by van Vreeswijk Theoretical Neuroscience Seminar
Abstract
Even in stable environments, sensory responses undergo continuous reformatting, a phenomenon known as representational drift. Using chronic calcium imaging in mouse auditory cortex, we show that during this representational drift signal correlations predict future noise correlations, suggesting that stimulus-driven co-activation strengthens effective connectivity via Hebbian-like plasticity. Linear network models reveal that these temporal dependencies between signal and noise correlations emerge only when Hebbian learning balances stochastic synaptic changes, preventing functional degradation. Our findings highlight how ongoing input-driven plasticity stabilizes neural representations amidst inherent synaptic variability. Presented in the van Vreeswijk Theoretical Neuroscience Seminar series (formerly WWTNS) on 2025-02-19. Recording duration: 00:46:23.
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