Publications by authors named "Heather L Cihak"

Article Synopsis
  • Localized persistent neural activity encodes the ability to remember and estimate continuous variables over time, like the orientation of a visual cue.
  • Previous research indicates that the position of these activity bumps in neural circuits represents the remembered value, while their amplitude may reflect confidence in that memory.
  • The proposed model introduces quantized nonlinearities to better support varying bump amplitudes, revealing that more noticeable cues lead to more stable and stronger memory representations.
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The distinct timescales of synaptic plasticity and neural activity dynamics play an important role in the brain's learning and memory systems. Activity-dependent plasticity reshapes neural circuit architecture, determining spontaneous and stimulus-encoding spatiotemporal patterns of neural activity. Neural activity bumps maintain short term memories of continuous parameter values, emerging in spatially-organized models with short term excitation and long-range inhibition.

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Localized persistent cortical neural activity is a validated neural substrate of parametric working memory. Such activity "bumps" represent the continuous location of a cue over several seconds. Pyramidal (excitatory ()) and interneuronal (inhibitory ()) subpopulations exhibit tuned bumps of activity, linking neural dynamics to behavioral inaccuracies observed in memory recall.

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