Literature DB >> 18262751

Compact silicon neuron circuit with spiking and bursting behaviour.

Jayawan H B Wijekoon1, Piotr Dudek.   

Abstract

A silicon neuron circuit that produces spiking and bursting firing patterns, with biologically plausible spike shape, is presented. The circuit mimics the behaviour of known classes of cortical neurons: regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB). The paper describes the operation of the circuit, provides simulation results, a simplified analytical model, and a phase-plane analysis of its behaviour. The functionality of the circuit has been verified experimentally. The paper introduces a proof-of-concept analogue integrated circuit, implemented in a 0.35 microm CMOS technology, and presents preliminary measurement results. The neuron cell provides an area and energy efficient implementation of the silicon cortical neuron, and could be used as a universal neuron circuit in VLSI neuromorphic networks that closely resemble the circuits of the cortex.

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Year:  2007        PMID: 18262751     DOI: 10.1016/j.neunet.2007.12.037

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  18 in total

1.  Syntactic sequencing in Hebbian cell assemblies.

Authors:  Thomas Wennekers; Günther Palm
Journal:  Cogn Neurodyn       Date:  2009-09-17       Impact factor: 5.082

2.  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

3.  Neuromorphic silicon neuron circuits.

Authors:  Giacomo Indiveri; Bernabé Linares-Barranco; Tara Julia Hamilton; André van Schaik; Ralph Etienne-Cummings; Tobi Delbruck; Shih-Chii Liu; Piotr Dudek; Philipp Häfliger; Sylvie Renaud; Johannes Schemmel; Gert Cauwenberghs; John Arthur; Kai Hynna; Fopefolu Folowosele; Sylvain Saighi; Teresa Serrano-Gotarredona; Jayawan Wijekoon; Yingxue Wang; Kwabena Boahen
Journal:  Front Neurosci       Date:  2011-05-31       Impact factor: 4.677

4.  Neuromorphic Signal Filter for Robot Sensoring.

Authors:  Luis M García-Sebastián; Victor H Ponce-Ponce; Humberto Sossa; Elsa Rubio-Espino; José A Martínez-Navarro
Journal:  Front Neurorobot       Date:  2022-06-13       Impact factor: 3.493

5.  Neuromorphic silicon neurons and large-scale neural networks: challenges and opportunities.

Authors:  Chi-Sang Poon; Kuan Zhou
Journal:  Front Neurosci       Date:  2011-09-22       Impact factor: 4.677

Review 6.  Plasticity in memristive devices for spiking neural networks.

Authors:  Sylvain Saïghi; Christian G Mayr; Teresa Serrano-Gotarredona; Heidemarie Schmidt; Gwendal Lecerf; Jean Tomas; Julie Grollier; Sören Boyn; Adrien F Vincent; Damien Querlioz; Selina La Barbera; Fabien Alibart; Dominique Vuillaume; Olivier Bichler; Christian Gamrat; Bernabé Linares-Barranco
Journal:  Front Neurosci       Date:  2015-03-02       Impact factor: 4.677

7.  Real-time biomimetic Central Pattern Generators in an FPGA for hybrid experiments.

Authors:  Matthieu Ambroise; Timothée Levi; Sébastien Joucla; Blaise Yvert; Sylvain Saïghi
Journal:  Front Neurosci       Date:  2013-11-21       Impact factor: 4.677

8.  An adaptable neuromorphic model of orientation selectivity based on floating gate dynamics.

Authors:  Priti Gupta; C M Markan
Journal:  Front Neurosci       Date:  2014-04-02       Impact factor: 4.677

9.  Leaky Integrate-and-Fire Neuron Circuit Based on Floating-Gate Integrator.

Authors:  Vladimir Kornijcuk; Hyungkwang Lim; Jun Yeong Seok; Guhyun Kim; Seong Keun Kim; Inho Kim; Byung Joon Choi; Doo Seok Jeong
Journal:  Front Neurosci       Date:  2016-05-23       Impact factor: 4.677

10.  Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate.

Authors:  Simon Friedmann; Nicolas Frémaux; Johannes Schemmel; Wulfram Gerstner; Karlheinz Meier
Journal:  Front Neurosci       Date:  2013-09-20       Impact factor: 4.677

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