Comparing neurophysiological measurements of simulated and real brains

Andras, Peter

Abstract

The paper presents the comparison of simulated brains with real brains by means of statistical properties of neurophysiological measurements. Two neural models are selected to build a simulated column of the primary visual cortex. The first simulation uses classical neuron models, the second uses more complex neural assembly models that perform computations by using emerging spatio-temporal firing patterns. The comparison indicates that the second, more complex model produces results that are more similar to recordings from real brains.

Citation

Andras, P. (2003). Comparing neurophysiological measurements of simulated and real brains. Neurocomputing, 52-54, 677-682. https://doi.org/10.1016/S0925-2312%2802%2900729-4

• Journal Article Type: Article
• Online Publication Date: May 20, 2003
• Publication Date: 2003-06
• Deposit Date: Nov 4, 2021
• Journal: Neurocomputing
• Print ISSN: 0925-2312
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 52-54
• Pages: 677-682
• DOI: https://doi.org/10.1016/S0925-2312%2802%2900729-4
• Keywords: Chaos, Cortex model, Neural networks, Neurophysiological comparison
• Public URL: http://researchrepository.napier.ac.uk/Output/2808986