Forward and Backward Modelling: From Single Cells to Neural Population and Back

Somogyvári, Zoltán and Érdi, Péter (2016) Forward and Backward Modelling: From Single Cells to Neural Population and Back. In: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields. Studies in Systems, Decision and Control, 39 . International Publishing Switzerland, Cham Heidelberg New York Dordrecht London, pp. 135-146. ISBN 978-3-319-24406-8


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Some aspects of forward and backward neural modelling are discussed, showing, that the neural mass models may provide a “golden midway” between the detailed conductance based neuron models and the oversimplified models, dealing with the input–output transformations only. Our analysis combines historical perspectives and recent developments concerning neural mass models as a third option for modelling large neural populations and inclusion of detailed anatomical data into them. The current source density analysis and the geometrical assumption behind the different methods, as an inverse modelling tool for determination of the sources of the local field potential is discussed, with special attention to the recent results about source localization on single neurons. These new applications may pave the way to the emergence of a new field of micro-electric imaging.

Item Type: Book Section
Subjects: Q Science / természettudomány > Q1 Science (General) / természettudomány általában
Q Science / természettudomány > QC Physics / fizika
Q Science / természettudomány > QP Physiology / élettan
R Medicine / orvostudomány > R1 Medicine (General) / orvostudomány általában
Depositing User: Zoltán Somogyvári
Date Deposited: 22 Jan 2016 07:51
Last Modified: 22 Jan 2016 07:51

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