Neural mechanisms for resilient sensory computation under metabolic stress

Food-restricted mice performing visual discrimination show noise in primary visual cortex population activity concentrated along task-irrelevant directions, preserving coding on the low-dimensional stimulus manifold.

• Why it matters: Metabolic stress reduces synaptic currents and increases noise, raising the question of how sensory computations remain accurate under such cellular changes.
• What they did: The study combined neural recordings with modeling to characterize the population structure of noise and to predict how food restriction alters decision dynamics.
• The result: The noise structure implies resilient coding by keeping variability off the stimulus manifold, and the model predicts shorter decision times that conserve energy but limit evidence accumulation for fine discrimination.

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