Behavioral and Brain Sciences 18 (4):617-626 (1995)

The neurophysiological evidence from the Miyashita group's experiments on monkeys as well as cognitive experience common to us all suggests that local neuronal spike rate distributions might persist in the absence of their eliciting stimulus. In Hebb's cell-assembly theory, learning dynamics stabilize such self-maintaining reverberations. Quasi-quantitive modeling of the experimental data on internal representations in association-cortex modules identifies the reverberations as the internal code. This leads to cognitive and neurophysiological predictions, many following directly from the language used to describe the activity in the experimental delay period, others from the details of how the model captures the properties of the internal representations.
Keywords active memory   associative cortex   attractor dynamics   content sensitivity   internal representations   learning   modeling
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DOI 10.1017/s0140525x00040164
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References found in this work BETA

The Language of Thought.Jerry A. Fodor - 1975 - Harvard University Press.
The Direction of Time.Hans Reichenbach - 1956 - Dover Publications.

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Incubated Cognition and Creativity.Dustin Stokes - 2007 - Journal of Consciousness Studies 14 (3):83-100.
Attention, Awareness, and the Triangular Circuit.David LaBerge - 1997 - Consciousness and Cognition 9 (2-3):149-81.
Computational Cognitive Neuroscience.Carlos Zednik - forthcoming - In Mark Sprevak & Matteo Colombo (eds.), The Routledge Handbook of the Computational Mind. Routledge.

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