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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.


Kambhampati, C., & Sarangdhar, M. (2011). A numerical model for Hodgkin-Huxley neural stimulus reconstruction. Iaeng International Journal of Computer Science, 38(1), 89--94

Journal Article Type Article
Acceptance Date Feb 1, 2010
Publication Date 2011
Deposit Date Nov 13, 2014
Publicly Available Date Nov 13, 2014
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
Keywords REF 2014 submission
Public URL
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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