A numerical model for Hodgkin-Huxley neural stimulus reconstruction

Kambhampati, C; Sarangdhar, M

Abstract

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.

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

• 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
• Peer Reviewed: Peer Reviewed
• Volume: 38
• Issue: 1
• Pages: 89--94
• Keywords: REF 2014 submission
• Public URL: https://hull-repository.worktribe.com/output/464652
• Publisher URL: http://www.iaeng.org/IJCS/issues_v38/issue_1/IJCS_38_1_11.pdf
• Additional Information: Copy of article first published in IAENG International journal of computer science, 2011, v.38, issue 1
• Contract Date: Nov 13, 2014