Abstract
AbstractCategorically bounded free recall allows generating perceptual and cognitive contents within specific categories while avoiding unrelated intrusions. Previous research suggested that this is implemented via amplification of ultra-slow spontaneous activity fluctuations, initiating a spontaneous recall event. However, the underlying amplification mechanism remains unclear. Here, we demonstrate, using a simulation of a simple random recurrent neuronal network operating near a critical point, that such selective amplification can be generated by a small shift towards this critical point, resulting in a dynamical phenomenon termed “critical slowing down”. By fitting physiological parameters and applying stochastic white noise input, we simulated ultra-slow fluctuations observed during rest and categorically bounded visual recall in the human cortex. Our findings suggest that modulation of spontaneous fluctuations linked to free recall can be explained by a stochastically driven recurrent network near a critical point, providing insight into the rapid and flexible formation of categorical boundaries in human cognition.
Publisher
Cold Spring Harbor Laboratory
Cited by
1 articles.
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