Literature DB >> 15093221

ISFET-neuron junction: circuit models and extracellular signal simulations.

Sergio Martinoia1, Paolo Massobrio.   

Abstract

Purpose of this paper is to characterize the Ion-Sensitive Field-Effect Transistors (ISFET)-neuron junction, based on the equivalent electric-circuit approach. As a result, recording of action potentials can be simulated with a general-purpose circuit simulation program such as HSPICE. The neuronal electrical activity, extracellularly recorded by the ISFET, is analyzed as a function of the physical-chemical and geometric ISFET parameters, of the ionic currents in the neuron, and of the neuro-electronic junction parameters such as the sealing resistance, double-layer capacitance, and general adhesion conditions. The models of the neuron, of the coupling circuit, and of the ISFET implemented in HSPICE are first described. These models are then used to simulate the behavior of the junction between a patch of neuronal membrane (described by the compartmental model) and the ISFET.

Mesh:

Year:  2004        PMID: 15093221     DOI: 10.1016/j.bios.2003.12.003

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  3 in total

1.  An organic transistor-based system for reference-less electrophysiological monitoring of excitable cells.

Authors:  A Spanu; S Lai; P Cosseddu; M Tedesco; S Martinoia; A Bonfiglio
Journal:  Sci Rep       Date:  2015-03-06       Impact factor: 4.379

2.  Analytical modelling of monolayer graphene-based ion-sensitive FET to pH changes.

Authors:  Mohammad Javad Kiani; Mohammad Taghi Ahmadi; Hediyeh Karimi Feiz Abadi; Meisam Rahmani; Amin Hashim; Fauzan Khairi Che Harun
Journal:  Nanoscale Res Lett       Date:  2013-04-16       Impact factor: 4.703

Review 3.  Interfacing Cultured Neurons to Microtransducers Arrays: A Review of the Neuro-Electronic Junction Models.

Authors:  Paolo Massobrio; Giuseppe Massobrio; Sergio Martinoia
Journal:  Front Neurosci       Date:  2016-06-21       Impact factor: 4.677

  3 in total

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