Spiking neural network

Known as: Spiking neural networks 
Spiking neural networks (SNNs) fall into the third generation of neural network models, increasing the level of realism in a neural simulation. In… (More)
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Topic mentions per year

Topic mentions per year

1989-2017
010020019892017

Papers overview

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Highly Cited
2009
Highly Cited
2009
Neural network simulators that take into account the spiking behavior of neurons are useful for studying brain mechanisms and for… (More)
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Highly Cited
2008
Highly Cited
2008
"Brian" is a new simulator for spiking neural networks, written in Python (http://brian. di.ens.fr). It is an intuitive and… (More)
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Highly Cited
2007
Highly Cited
2007
Spike timing dependent plasticity (STDP) is a learning rule that modifies synaptic strength as a function of the relative timing… (More)
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Highly Cited
2006
Highly Cited
2006
This paper is an attempt to incorporate the idea of spiking neurons into the area of membrane computing, and to this aim we… (More)
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Highly Cited
2006
Highly Cited
2006
This paper describes an area-efficient mixed-signal implementation of synapse-based long term plasticity realized in a VLSI model… (More)
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2005
2005
Due to their distributed architecture, artificial neural networks often show a graceful performance degradation to the loss of… (More)
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2005
2005
Networks of spiking neurons can perform complex non-linear computations in fast temporal coding just as well as rate coded… (More)
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2004
2004
In this paper we introduce a novel mechanism for controlling autonomous mobile robots that is based on using spiking neural… (More)
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2003
2003
A cellular hardware implementation of a spiking neural network with run-time reconfigurable connectivity is presented. It is… (More)
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2001
2001
We present an analog VLSI address-event transceiver containing an array of integrate-and-fire neurons and a scheme for… (More)
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