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
2 IDSL - Institut für Deutsche Sprache und Linguistik

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.

Domaines: Modélisation et simulation

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