Multiscale simulation analysis of passive and active micro/nanoelectrodes for CMOS-based in vitro neural sensing devices. (25th July 2022)
- Record Type:
- Journal Article
- Title:
- Multiscale simulation analysis of passive and active micro/nanoelectrodes for CMOS-based in vitro neural sensing devices. (25th July 2022)
- Main Title:
- Multiscale simulation analysis of passive and active micro/nanoelectrodes for CMOS-based in vitro neural sensing devices
- Authors:
- Leva, Federico
Palestri, Pierpaolo
Selmi, Luca - Abstract:
- 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'.
- Is Part Of:
- Philosophical transactions. Volume 380:Number 2228(2022)
- Journal:
- Philosophical transactions
- Issue:
- Volume 380:Number 2228(2022)
- Issue Display:
- Volume 380, Issue 2228 (2022)
- Year:
- 2022
- Volume:
- 380
- Issue:
- 2228
- Issue Sort Value:
- 2022-0380-2228-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-07-25
- Subjects:
- neuronal recordings -- technology computer-aided design tools -- modelling -- bio-interfaces -- Hodgkin–Huxley model
Physical sciences -- Periodicals
Engineering -- Periodicals
Mathematics -- Periodicals
500 - Journal URLs:
- https://royalsocietypublishing.org/loi/rsta ↗
- DOI:
- 10.1098/rsta.2021.0013 ↗
- Languages:
- English
- ISSNs:
- 1364-503X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 26335.xml