Literature DB >> 22342970

VLSI circuits implementing computational models of neocortical circuits.

Jayawan H B Wijekoon1, Piotr Dudek.   

Abstract

This paper overviews the design and implementation of three neuromorphic integrated circuits developed for the COLAMN ("Novel Computing Architecture for Cognitive Systems based on the Laminar Microcircuitry of the Neocortex") project. The circuits are implemented in a standard 0.35 μm CMOS technology and include spiking and bursting neuron models, and synapses with short-term (facilitating/depressing) and long-term (STDP and dopamine-modulated STDP) dynamics. They enable execution of complex nonlinear models in accelerated-time, as compared with biology, and with low power consumption. The neural dynamics are implemented using analogue circuit techniques, with digital asynchronous event-based input and output. The circuits provide configurable hardware blocks that can be used to simulate a variety of neural networks. The paper presents experimental results obtained from the fabricated devices, and discusses the advantages and disadvantages of the analogue circuit approach to computational neural modelling.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22342970     DOI: 10.1016/j.jneumeth.2012.01.019

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  5 in total

1.  Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity.

Authors:  Mostafa Rahimi Azghadi; Nicolangelo Iannella; Said Al-Sarawi; Derek Abbott
Journal:  PLoS One       Date:  2014-02-13       Impact factor: 3.240

2.  PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems.

Authors:  Fabio Stefanini; Emre O Neftci; Sadique Sheik; Giacomo Indiveri
Journal:  Front Neuroinform       Date:  2014-08-29       Impact factor: 4.081

3.  Neuromorphic Implementation of Attractor Dynamics in a Two-Variable Winner-Take-All Circuit with NMDARs: A Simulation Study.

Authors:  Hongzhi You; Da-Hui Wang
Journal:  Front Neurosci       Date:  2017-02-07       Impact factor: 4.677

4.  A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations.

Authors:  Farnaz Faramarzi; Fatemeh Azad; Mahmood Amiri; Bernabé Linares-Barranco
Journal:  Front Neurosci       Date:  2019-10-09       Impact factor: 4.677

5.  Generalized reconfigurable memristive dynamical system (MDS) for neuromorphic applications.

Authors:  Mohammad Bavandpour; Hamid Soleimani; Bernabé Linares-Barranco; Derek Abbott; Leon O Chua
Journal:  Front Neurosci       Date:  2015-11-03       Impact factor: 4.677

  5 in total

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