منابع مشابه
Neuromorphic analogue VLSI.
Neuromorphic systems emulate the organization and function of nervous systems. They are usually composed of analogue electronic circuits that are fabricated in the complementary metal-oxide-semiconductor (CMOS) medium using very large-scale integration (VLSI) technology. However, these neuromorphic systems are not another kind of digital computer in which abstract neural networks are simulated ...
متن کاملAdaptive Neuromorphic Analogue VLSI Chips for Integrated Odour Sensing
This proposal is the resubmission of an earlier proposal of the same title to EPSRC (Leicester GR/R21424/01, Edinburgh GR/R21448/01, and Warwick GR/R21431/01). In this resubmission we have addressed the points raised by the review panel in terms of the commercial aspects of the project. In particular, we have removed the involvement of all non-UK companies from the project and strengthened the ...
متن کاملDesign and basic blocks of a neuromorphic VLSI analogue vision system
In this paper we present a complete neuromorphic image processing system and we report the development of an integrated CMOS low-power circuit to test the feasibility of its different stages. The image system consists of different parallel-processing stages: phototransduction, non-linear filtering, oscillatory segmentation network and post-processing to extract fundamental characteristics. The ...
متن کاملSpike Timing Dependent Adaptation: Minimising the Effect of Transistor Mismatch in an Analogue VLSI Neuromorphic System
Neuromorphic systems often call for subthreshold operation where transistor mismatch is a particular problem and this mismatch can affect the time constants of the design. This work is an investigation into whether Spike Timing Dependent Plasticity (STDP), a neural algorithm capable of adapting time delays within neural systems, can provide a method to minimise the effect of transistor mismatch...
متن کاملImplementation of STDP in Neuromorphic Analog VLSI
Spike-timing-dependent plasticity (STDP), an asymmetric form of Hebbian learning, shows how synaptic strength between neurons changes corresponding to time difference between preand postspikes [1]. It is widely believed that synaptic plasticity can learn and store information of brain, so understanding STDP helps study of the process of learning in the brain. Moreover, hardware implementation o...
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ژورنال
عنوان ژورنال: Annual Review of Neuroscience
سال: 1995
ISSN: 0147-006X,1545-4126
DOI: 10.1146/annurev.ne.18.030195.001351