Abstract：
:Several formulations of correlation-based Hebbian learning are reviewed. On the presynaptic side, activity is described either by a firing rate or by presynaptic spike arrival. The state of the postsynaptic neuron can be described by its membrane potential, its firing rate, or the timing of backpropagating action potentials (BPAPs). It is shown that all of the above formulations can be derived from the point of view of an expansion. In the absence of BPAPs, it is natural to correlate presynaptic spikes with the postsynaptic membrane potential. Time windows of spike-time-dependent plasticity arise naturally if the timing of postsynaptic spikes is available at the site of the synapse, as is the case in the presence of BPAPs. With an appropriate choice of parameters, Hebbian synaptic plasticity has intrinsic normalization properties that stabilizes postsynaptic firing rates and leads to subtractive weight normalization.
journal_name
Biol Cybernjournal_title
Biological cyberneticsauthors
Gerstner W,Kistler WMdoi
10.1007/s00422-002-0353-ykeywords:
subject
Has Abstractpub_date
2002-12-01 00:00:00pages
404-15issue
5-6eissn
0340-1200issn
1432-0770journal_volume
87pub_type
杂志文章,评审abstract：:Based on a complexity analysis of mutual information transmission of EEG developed by us [Xu J, Liu Z, Liu R, Yang Q (1997) Physica D 106: 363-374], dynamic processes of the complexity of mutual information transmission in human brains were studied. To diminish possible problems due to coarse graining preprocessing, s...
journal_title：Biological cybernetics
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journal_title：Biological cybernetics
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journal_title：Biological cybernetics
pub_type： 杂志文章
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journal_title：Biological cybernetics
pub_type： 杂志文章
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journal_title：Biological cybernetics
pub_type： 杂志文章
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journal_title：Biological cybernetics
pub_type： 杂志文章,评审
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journal_title：Biological cybernetics
pub_type： 杂志文章,评审
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pub_type： 杂志文章,评审
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journal_title：Biological cybernetics
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更新日期：1998-09-01 00:00:00
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