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James L. Novak

Researcher at University of Illinois at Urbana–Champaign

Publications -  5
Citations -  297

James L. Novak is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Population & Multielectrode array. The author has an hindex of 5, co-authored 5 publications receiving 289 citations.

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

TL;DR: A technique has been developed in which a planar array of 32 microelectrodes is used to record from and stimulate the hippocampal slice preparation at multiple sites, providing a 2-dimensional description of the underlying population activity in the various pyramidal strata and subpopulations.
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Recording from the Aplysia Abdominal Ganglion with a Planar Microelectrode Array

TL;DR: A passive multimicroelectrode array has been fabricated and used to record neural events from the abdominal ganglion of the marine mollusk, Aplysia californica, and can record large numbers of unique and often interrelated extracellular neural potentials in relatively simple experiments.
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Current Source Density Estimation Using Microelectrode Array Data from the Hippocampal Slice Preparation

TL;DR: The potentials recordable from the hippocampal slice using a microelectrode array are described assuming a model of neural current sources andverse Fourier filter techniques to compute the current source density (CSD) are described.
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Two-dimensional current source density analysis of propagation delays for components of epileptiform bursts in rat hippocampal slices.

TL;DR: Differences were found in the apparent propagation delays among 3 burst components: the compound action potential along the Schaffer collaterals, the first population spike directly driven by the CAP, and the second (and succeeding) population spikes representing the bursting, epileptiform component.
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A high-speed multichannel neural data acquisition system for IBM PC compatibles

TL;DR: An inexpensive 32-channel data acquisition system has been constructed for use in acquiring neuroelectric data from a multiple element electrode array and Assembly language graphics routines permitted rapid display of raw and processed data.