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How to render Neural Fields more realistic

Axel Hutt 1 Meysam Hashemi 1 Peter Beim Graben 2
1 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : Conventional neural field models describe well some experimental data, such as Local Field Potentials or electroencephalographic data. The work reviews recent extensions of neural field models and describes the activation and attenuation of spectral power in certain frequency bands subjected to the statistical properties of an external input and subjected to the properties of synaptic receptor efficacy and the heteroclinic transitions between meta-stable state as a model for event-related potentials.
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Submitted on : Tuesday, June 17, 2014 - 8:34:14 AM
Last modification on : Saturday, October 16, 2021 - 11:26:09 AM
Long-term archiving on: : Wednesday, September 17, 2014 - 10:50:25 AM


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  • HAL Id : hal-01007681, version 1


Axel Hutt, Meysam Hashemi, Peter Beim Graben. How to render Neural Fields more realistic. 2014. ⟨hal-01007681⟩



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