Transistor records of excitable neurons from rat brain

Vassanelli, Stefano; Fromherz, Peter

doi:10.1007/s003390050695

Cited by 74 publications

(66 citation statements)

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“…The conditions were similar to those in previous experiments with EOS transistors [11,12] and in various experiments with MEAs [1][2][3][4][5][6][7].…”

Section: Resultssupporting

confidence: 76%

“…There is a wide distribution of amplitudes due to a different quality of the cellchip junctions with a median around 0.5 mV. The result confirms previous experiments with simple EOS transistors [11,12]. The signals are rather high in comparison with most recordings by planar metal electrodes (MEA).…”

Section: Identification Of Action Potentialssupporting

confidence: 86%

“…The mechanism of neuroelectronic recording by transistors in an EOMOS configuration is equivalent to the one of EOS transistors where the nature of interfacing has been studied in great detail [10,11,21,22]. In brief: the electrical excitation of a nerve cell gives rise to an extracellular voltage V J on the chip surface with respect to the electrical potential in the bath that is defined by a Ag/AgCl reference electrode.…”

Section: Chipmentioning

confidence: 99%

“…However, the diameter of the electrodes is usually around 50 µm and their spacing around 100 µm. The problem of sensor size and spacing was partially overcome with electrolyte-oxidesemiconductor field-effect transistors (EOSFETs) on silicon chips [8][9][10][11][12]. Another advantage of these devices was their chemically homogeneous surface that consisted of SiO 2 silica, and later of TiO 2 , a most stable and biocompatible material [13,14].…”

mentioning

confidence: 99%

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Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

et al. 2010

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The electrical activity of a network of mammalian neurons is mapped with a Multi-Transistor Array (MTA) fabricated with extended CMOS technology. The spatial resolution is 7.4 µm on an area of 1 mm 2 at a sampling frequency of 6 kHz for a complete readout of 16,384 sensor transistors. Action potentials give rise to extracellular voltages with amplitudes in a range of 500 µV. On the basis of the high resolution in space and time, correlation algorithms are used to identify single action potentials with amplitudes as low as about 200µV, and to assign the signals to the activity of individual neurons even in a dense network.

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“…The conditions were similar to those in previous experiments with EOS transistors [11,12] and in various experiments with MEAs [1][2][3][4][5][6][7].…”

Section: Resultssupporting

confidence: 76%

Section: Identification Of Action Potentialssupporting

confidence: 86%

Section: Chipmentioning

confidence: 99%

mentioning

confidence: 99%

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Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

et al. 2010

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“…(3) A Runge-Kutta ordinary differential equation solver was used to calculate the response of this circuit to a brief I0 ~s stimulus current pulse.…”

Section: 'Pjvva-v/)+'pk(vk-v/)-c D;/ +! +Pna(vna-vm)+pk(vk-vm)-mentioning

confidence: 99%

The impact of variations in membrane capacitance on the detected neural-electronic signal

Szlavik

2002

Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engi

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-There have been various theoretical and experimental studies presented in the literature that focus on interfacing neurons with discrete electronic devices such as transistors. The demonstrated lack of reproducible fidelity of the nerve cell action potential at the device junction would make it impractical to implement these devices in any neural prosthetic application where reliable detection of the action potential was a pre-requisite. In this study, the impact of typical variations in membrane capacitance on the detected neural signal is investigated.

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Electrical Interfacing of Nerve Cells and Semiconductor Chips

2002

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The electrical interfacing of individual nerve cells and silicon microstructures is considered, as well as the assembly of elementary hybrid systems made of neuronal networks and semiconductor microelectronics. Without electrochemical processes, coupling of the electron‐conducting semiconductor and the ion‐conducting neurons relies on a close contact of cell membrane and oxidised silicon with a high resistance of the junction and a high conductance of the attached membrane. Neuronal excitation can be elicited and recorded from the chip by capacitive contacts and by field‐effect transistors with an open gate. Integrated iono‐electronic system are obtained by the outgrowth of neuronal networks on the surface of the silicon chip, by implementing electrical circuits in the chip and by two‐way interfacing of the neuronal and the electronic components.

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Transistor records of excitable neurons from rat brain

Cited by 74 publications

References 0 publications

Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

The impact of variations in membrane capacitance on the detected neural-electronic signal

Electrical Interfacing of Nerve Cells and Semiconductor Chips

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