Synaptic weight

In neuroscience and computer science, synaptic weight refers to the strength or amplitude of a connection between two nodes, corresponding in biology… (More)
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Topic mentions per year

1971-2017
05010019712017

Papers overview

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Highly Cited
2014
Highly Cited
2014
Using two phase-change memory devices per synapse, a three-layer perceptron network with 164 885 synapses is trained on a subset… (More)
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Review
2014
Review
2014
The connectivity structure of neural networks has significant implications for neural information processing, and much… (More)
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Highly Cited
2012
Highly Cited
2012
The substantia nigra pars compacta and ventral tegmental area contain the two largest populations of dopamine-releasing neurons… (More)
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Highly Cited
2006
Highly Cited
2006
Neurons generate spikes reliably with millisecond precision if driven by a fluctuating current—is it then possible to predict the… (More)
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2003
2003
A “weight” in an artificial neuron model is meant to be a representation of the amount of effect that a synaptic input has on the… (More)
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Highly Cited
2002
Highly Cited
2002
Synapsin I (formerly referred to as protein I) is the collective name for two almost identical phosphoproteins, synapsin la and… (More)
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Highly Cited
2000
Highly Cited
2000
We present a spiking neuron model that allows for an analytic calculation of the correlations between pre- and postsynaptic… (More)
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Highly Cited
1994
Highly Cited
1994
We analyze the effects of analog noise on the synaptic arithmetic during multilayer perceptron training, by expanding the cost… (More)
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Highly Cited
1994
Highly Cited
1994
where gsyn is the synaptic conductance and to is the time of transmitter release. This function peaks at a value of l l e at t… (More)
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Highly Cited
1988
Highly Cited
1988
Several proteins are associated with, or are integral components of, the lipid bilayer that forms the delineating membrane of… (More)
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