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Neuroscience in FPGA and Application in IoT

Neuroscience in FPGA and Application in IoT

Anjali Daisy
Copyright: © 2020 |Pages: 11
ISBN13: 9781522598060|ISBN10: 1522598065|ISBN13 Softcover: 9781522598077|EISBN13: 9781522598084
DOI: 10.4018/978-1-5225-9806-0.ch005
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MLA

Daisy, Anjali. "Neuroscience in FPGA and Application in IoT." FPGA Algorithms and Applications for the Internet of Things, edited by Preeti Sharma and Rajit Nair, IGI Global, 2020, pp. 97-107. https://doi.org/10.4018/978-1-5225-9806-0.ch005

APA

Daisy, A. (2020). Neuroscience in FPGA and Application in IoT. In P. Sharma & R. Nair (Eds.), FPGA Algorithms and Applications for the Internet of Things (pp. 97-107). IGI Global. https://doi.org/10.4018/978-1-5225-9806-0.ch005

Chicago

Daisy, Anjali. "Neuroscience in FPGA and Application in IoT." In FPGA Algorithms and Applications for the Internet of Things, edited by Preeti Sharma and Rajit Nair, 97-107. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9806-0.ch005

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Abstract

Neuroscience is a multidisciplinary science that is focused with the study of the structure and function of the nervous system. It contains the evolution, development, cellular and molecular biology, physiology, anatomy, and pharmacology of the nervous system, as well as computational, interactive, and cognitive neuroscience. A field-programmable gate array (FPGA) is an integrated circuit (IC) that can be programmed in the field after production. FPGAs are likely in principle to have vastly wider potential application than programmable read-only memory (PROM) chips. Internet of things (IoT) is an integrated part of future internet including existing and evolving internet and network developments and could be conceptually defined as a worldwide dynamic network infrastructure with self-configuring capabilities based on standard and interoperable protocols communication where physical and virtual “things” have identities, physical attributes, and virtual personalities.

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