bioRxivJClub
Disentanglement of persistent and dynamic neural substrates of working memory
bioRxiv · · Preprint · Open access
Abbasi, Nanda + 5 more
Abstract ↗AI summary
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In macaque match/non-match working memory tasks, cue stimuli are decoded at empirical or above-chance levels from persistent neurons only when correlations of activity patterns across epochs are constrained.
- Why it matters: Competing theories disagree on whether working memory relies mainly on persistent activity, dynamic activity, or both, leaving the relative contributions unresolved.
- What they did: The study analyzed macaque neuronal population recordings, extracted persistent and dynamic signatures using cue-specific temporal means, temporal principal components, and cross-epoch pattern correlations, then generated synthetic data constrained by these signatures to decode cues separately from persistent versus non-persistent neurons.
- The result: High decoding depended on a nuanced interplay: persistent neurons supported decoding across all tasks, but only after enforcing cross-epoch correlation constraints, providing a computational controlled framework to adjudicate competing models.
The findingWhy it mattersWhat they didThe result
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