Literature DB >> 7475383

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

M Grattarola1, M Bove, S Martinoia, G Massobrio.   

Abstract

The paper deals with computer simulations of 'silicon neurons', which are assemblies of CMOS circuits that generate the equivalents of the ionic currents and of the action potentials of real (biological) neurons. The circuit simulation program SPICE is used to simulate the generation of action potentials by a silicon neuron. Moreover, the equivalent circuits of silicon synapses are described and the behaviours of simple two- and three-neuron networks are analysed. Implications for the areas of neurobiology and formal neural networks are briefly considered.

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Year:  1995        PMID: 7475383     DOI: 10.1007/bf02522510

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  8 in total

1.  A quantitative description of membrane current and its application to conduction and excitation in nerve.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

2.  A silicon neuron.

Authors:  M Mahowald; R Douglas
Journal:  Nature       Date:  1991 Dec 19-26       Impact factor: 49.962

Review 3.  A computer based model for realistic simulations of neural networks. I. The single neuron and synaptic interaction.

Authors:  O Ekeberg; P Wallén; A Lansner; H Tråvén; L Brodin; S Grillner
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

4.  Propagation of action potentials along complex axonal trees. Model and implementation.

Authors:  Y Manor; J Gonczarowski; I Segev
Journal:  Biophys J       Date:  1991-12       Impact factor: 4.033

5.  An electrical description of the motoneurone, and its application to the analysis of synaptic potentials.

Authors:  J J Jack; S J Redman
Journal:  J Physiol       Date:  1971-06       Impact factor: 5.182

6.  Realistic simulations of neurons by means of an ad hoc modified version of SPICE.

Authors:  M Bove; G Massobrio; S Martinoia; M Grattarola
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

7.  Nonlinear interactions in a dendritic tree: localization, timing, and role in information processing.

Authors:  C Koch; T Poggio; V Torre
Journal:  Proc Natl Acad Sci U S A       Date:  1983-05       Impact factor: 11.205

8.  Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input.

Authors:  W Rall
Journal:  J Neurophysiol       Date:  1967-09       Impact factor: 2.714

  8 in total

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