Literature DB >> 1661852

A silicon neuron.

M Mahowald1, R Douglas.   

Abstract

By combining neurophysiological principles with silicon engineering, we have produced an analog integrated circuit with the functional characteristics of real nerve cells. Because the physics underlying the conductivity of silicon devices and biological membranes is similar, the 'silicon neuron' is able to emulate efficiently the ion currents that cause nerve impulses and control the dynamics of their discharge. It operates in real-time and consumes little power, and many 'neurons' can be fabricated on a single silicon chip. The silicon neuron represents a step towards constructing artificial nervous systems that use more realistic principles of neuronal computation than do existing electronic neuronal networks.

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Year:  1991        PMID: 1661852     DOI: 10.1038/354515a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  38 in total

1.  Silicon synaptic conductances.

Authors:  C Rasche; R J Douglas
Journal:  J Comput Neurosci       Date:  1999 Jul-Aug       Impact factor: 1.621

2.  Noninvasive neuroelectronic interfacing with synaptically connected snail neurons immobilized on a semiconductor chip.

Authors:  G Zeck; P Fromherz
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-28       Impact factor: 11.205

Review 3.  Neurotech for neuroscience: unifying concepts, organizing principles, and emerging tools.

Authors:  Rae Silver; Kwabena Boahen; Sten Grillner; Nancy Kopell; Kathie L Olsen
Journal:  J Neurosci       Date:  2007-10-31       Impact factor: 6.167

4.  Transistor analogs of emergent iono-neuronal dynamics.

Authors:  Guy Rachmuth; Chi-Sang Poon
Journal:  HFSP J       Date:  2008-04-18

5.  Neuroelectronics: Smart connections.

Authors:  M Mitchell Waldrop
Journal:  Nature       Date:  2013-11-07       Impact factor: 49.962

6.  Distinct rhythmic locomotor patterns can be generated by a simple adaptive neural circuit: biology, simulation, and VLSI implementation.

Authors:  S Ryckebusch; M Wehr; G Laurent
Journal:  J Comput Neurosci       Date:  1994-12       Impact factor: 1.621

7.  Short-term plasticity and long-term potentiation mimicked in single inorganic synapses.

Authors:  Takeo Ohno; Tsuyoshi Hasegawa; Tohru Tsuruoka; Kazuya Terabe; James K Gimzewski; Masakazu Aono
Journal:  Nat Mater       Date:  2011-06-26       Impact factor: 43.841

8.  A neuromorphic network for generic multivariate data classification.

Authors:  Michael Schmuker; Thomas Pfeil; Martin Paul Nawrot
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-27       Impact factor: 11.205

9.  Silicon-Neuron Design: A Dynamical Systems Approach.

Authors:  John V Arthur; Kwabena Boahen
Journal:  IEEE Trans Circuits Syst I Regul Pap       Date:  2011       Impact factor: 3.605

10.  Silicon neuron simulation with SPICE: tool for neurobiology and neural networks.

Authors:  M Grattarola; M Bove; S Martinoia; G Massobrio
Journal:  Med Biol Eng Comput       Date:  1995-07       Impact factor: 2.602

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