| Literature DB >> 30010587 |
Aishwarya Natarajan, Jennifer Hasler.
Abstract
We present the experimental silicon results on the dynamics of a Hodgkin-Huxley neuron implemented on a reconfigurable platform. The circuit has been inspired by the similarity between biology and silicon, by modeling ion channels and their time constants. Another significant motivation behind this paper is to make the system available to circuit designers as well as users in the neuroscience community. The open-source tool infrastructure and a remote system ease the accessibility of our system to a number of users. We demonstrate the reproducibility of the results by replicating the dynamics across different boards along with responses from different inputs and with different parameters. The reconfigurability enables one to make use of a single primary design to obtain a variety of results. The measurements are taken from the system compiled on a field programmable analog array fabricated on a 350-nm process.Entities:
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Year: 2018 PMID: 30010587 DOI: 10.1109/TBCAS.2018.2837055
Source DB: PubMed Journal: IEEE Trans Biomed Circuits Syst ISSN: 1932-4545 Impact factor: 3.833