Literature DB >> 35658681

Multiscale simulation analysis of passive and active micro/nanoelectrodes for CMOS-based in vitro neural sensing devices.

Federico Leva1, Pierpaolo Palestri2, Luca Selmi1.   

Abstract

Neuron and neural network studies are remarkably fostered by novel stimulation and recording systems, which often make use of biochips fabricated with advanced electronic technologies and, notably, micro- and nanoscale complementary metal-oxide semiconductor (CMOS). Models of the transduction mechanisms involved in the sensor and recording of the neuron activity are useful to optimize the sensing device architecture and its coupling to the readout circuits, as well as to interpret the measured data. Starting with an overview of recently published integrated active and passive micro/nanoelectrode sensing devices for in vitro studies fabricated with modern (CMOS-based) micro-nano technology, this paper presents a mixed-mode device-circuit numerical-analytical multiscale and multiphysics simulation methodology to describe the neuron-sensor coupling, suitable to derive useful design guidelines. A few representative structures and coupling conditions are analysed in more detail in terms of the most relevant electrical figures of merit including signal-to-noise ratio. This article is part of the theme issue 'Advanced neurotechnologies: translating innovation for health and well-being'.

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Keywords:  Hodgkin–Huxley model; bio-interfaces; modelling; neuronal recordings; technology computer-aided design tools

Mesh:

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Year:  2022        PMID: 35658681     DOI: 10.1098/rsta.2021.0013

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  1 in total

1.  Preface to 'Advanced neurotechnologies: translating innovation for health and well-being'.

Authors:  Rupam Das; Giulia Curia; Hadi Heidari
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-06-06       Impact factor: 4.019

  1 in total

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