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A numerical model for Hodgkin-Huxley neural stimulus reconstruction

Kambhampati, C; Sarangdhar, M


M Sarangdhar


The information about a neural activity is encoded in a neural response and usually the underlying stimulus that triggers the activity is unknown. This paper presents a numerical solution to reconstruct stimuli from Hodgkin-Huxley neural responses while retrieving the neural dynamics. The stimulus is reconstructed by first retrieving the maximal conductances of the ion channels and then solving the Hodgkin-Huxley equations for the stimulus. The results show that the reconstructed stimulus is a good approximation of the original stimulus, while the retrieved the neural dynamics, which represent the voltage-dependent changes in the ion channels, help to understand the changes in neural biochemistry. As high non-linearity of neural dynamics renders analytical inversion of a neuron an arduous task, a numerical approach provides a local solution to the problem of stimulus reconstruction and neural dynamics retrieval.

Journal Article Type Article
Publication Date 2011
Journal IAENG International journal of computer science
Print ISSN 1819-656X
Electronic ISSN 1819-9224
Peer Reviewed Peer Reviewed
Volume 38
Issue 1
Pages 89--94
APA6 Citation Kambhampati, C., & Sarangdhar, M. (2011). A numerical model for Hodgkin-Huxley neural stimulus reconstruction. Iaeng International Journal of Computer Science, 38(1), 89--94
Keywords REF 2014 submission
Publisher URL
Additional Information Copy of article first published in IAENG International journal of computer science, 2011, v.38, issue 1


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