A Mathematical Model for Neuronal Activity and Brain Information Processing Capacity-Reference-Cited by-同舟云学术

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A Mathematical Model for Neuronal Activity and Brain Information Processing Capacity

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zheng Yu¹,Zhu David²,Ren Jian¹,Liu Taosheng³,Friston Karl⁴,Li Tongtong¹

Affiliation:

1. Michigan State University,Department of Electrical and Computer Engineering,East Lansing,USA

2. Michigan State University,Department of Radiology,East Lansing,USA

3. Michigan State University,Department of Psychology,East Lansing,USA

4. University College London,The Wellcome Trust Centre for Neuroimaging,London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095567.pdf?arnumber=10095567

Reference18 articles.

1. The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

2. Generalized Integrate-and-Fire Models of Neuronal Activity Approximate Spike Trains of a Detailed Model to a High Degree of Accuracy

3. Balanced Networks of Spiking Neurons with Spatially Dependent Recurrent Connections

4. Dynamic causal modelling revisited

5. A quantitative description of membrane current and its application to conduction and excitation in nerve

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