Multisite hippocampal slice recording and stimulation using a 32 element microelectrode array

Novak, James L.; Wheeler, Bruce C.

doi:10.1016/0165-0270(88)90187-2

Cited by 104 publications

(61 citation statements)

References 21 publications

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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%

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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%

“…Since many years, passive metallic multi-electrode arrays (MEA) on various substrates are used to observe cultured mammalian neurons [1][2][3][4][5][6][7]. These devices fulfill the requirements of noise level and sampling frequency.…”

mentioning

confidence: 99%

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

et al. 2010

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“…In addition, electrical stimulation through such arrays has been reported in a wide variety of preparations, such as murine spinal cord (Gross et al 1993), rat cortex (Jimbo et al 1999), cat sciatic nerve (Branner and Normann 2000) and rabbit retina (Grumet et al 2000). Simultaneously stimulating and recording through a single MEA is attractive for the study of input-output relationships (Novak and Wheeler 1988;DeAngelis et al 1998), but poses technical difficulties because the stimuli employed are often four or five orders of magnitude greater than extracellularly recorded action potentials ('spikes'). These may be as low as 10 V (shown below), while stimuli are typically on the order of a volt (Pancrazio et al 1998;Jimbo et al 1999), causing substantial stimulation artifacts that corrupt the data or saturate the recording electronics.…”

Section: Introductionmentioning

confidence: 99%

“…To do so, Jimbo and Kawana (1992) recorded differentially between pairs of electrodes spaced at 10 m, while stimulating between a similar, distant pair of electrodes. Sample-and-hold circuitry has also been used to prevent amplifier saturation (Novak and Wheeler 1988;Jimbo et al 1998;Grumet 1999), but with mixed results. Jimbo et al (1999) were able to record 5 ms after stimulation, even from the stimulated electrode, but the implementation details are not described.…”

Section: Introductionmentioning

confidence: 99%

Real-time multi-channel stimulus artifact suppression by local curve fitting

Wagenaar

Potter

2002

Journal of Neuroscience Methods

219

179

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We describe an algorithm for suppression of stimulation artifacts in extracellular micro-electrode array (MEA) recordings. A model of the artifact based on locally fitted cubic polynomials is subtracted from the recording, yielding a flat baseline amenable to spike detection by voltage thresholding. The algorithm, SALPA, reduces the period after stimulation during which action potentials cannot be detected by an order of magnitude, to less than 2 ms. Our implementation is fast enough to process 60-channel data sampled at 25 kHz in real-time on an inexpensive desktop PC. It performs well on a wide range of artifact shapes without re-tuning any parameters, because it accounts for amplifier saturation explicitly and uses a statistic to verify successful artifact suppression immediately after the amplifiers become operational. We demonstrate the algorithm's effectiveness on recordings from dense monolayer cultures of cortical neurons obtained from rat embryos. SALPA opens up a previously inaccessible window for studying transient neural oscillations and precisely timed dynamics in short-latency responses to electric stimulation.

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“…Recording systems using planar arrays of extracellular metal electrodes (Thomas et al, 1972;Gross et al, 1977;Pine, 1980;Novak and Wheeler, 1988;Jimbo et al, 1993) or field-effect transistor electrodes (Stett et al, 1997) have been built to circumvent these problems. Electrodes are arranged on the surface of a glass or silicon substrate, upon which neurons are cultured.…”

Section: Introductionmentioning

confidence: 99%

The neurochip: a new multielectrode device for stimulating and recording from cultured neurons

Maher

Pine

Wright

et al. 1999

Journal of Neuroscience Methods

304

180

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Multisite hippocampal slice recording and stimulation using a 32 element microelectrode array

Cited by 104 publications

References 21 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)

Real-time multi-channel stimulus artifact suppression by local curve fitting

The neurochip: a new multielectrode device for stimulating and recording from cultured neurons

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