Literature DB >> 9886633

Oscillatory corticothalamic response to somatosensory input.

E Gelenbe1, C Cramer.   

Abstract

We construct a model of the thalamocortical feedback loop using the Random Neural Network model to provide a theoretical explanation for cortical and thalamic damped rapid (circa 60-100 Hz) oscillations which have been observed in lightly anesthesized rats with somatosensory input Nicolelis (1997). Experimental data corroborates the choice of model parameter settings. Model predictions indicate that positive feedback loops and large signaling delays within cortex significantly determine the oscillatory phenomenon and its duration (i.e. its decay), while positive feedback from cortex to thalamus is needed to exhibit oscillations in thalamus.

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Year:  1998        PMID: 9886633     DOI: 10.1016/s0303-2647(98)00051-3

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  1 in total

1.  G-Networks to Predict the Outcome of Sensing of Toxicity.

Authors:  Ingrid Grenet; Yonghua Yin; Jean-Paul Comet
Journal:  Sensors (Basel)       Date:  2018-10-16       Impact factor: 3.576

  1 in total

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