dorsal/arxiv
View SchemaOptimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing
| Authors | Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0502037 |
| URL | https://arxiv.org/abs/q-bio/0502037 |
Abstract
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient ascent the likelihood of postsynaptic firing at one or several desired firing times. We find that the optimal strategy of up- and downregulating synaptic efficacies can be described by a two-phase learning window similar to that of Spike-Timing Dependent Plasticity (STDP). If the presynaptic spike arrives before the desired postsynaptic spike timing, our optimal learning rule predicts that the synapse should become potentiated. The dependence of the potentiation on spike timing directly reflects the time course of an excitatory postsynaptic potential. The presence and amplitude of depression of synaptic efficacies for reversed spike timing depends on how constraints are implemented in the optimization problem. Two different constraints, i.e., control of postsynaptic rates or control of temporal locality,are discussed.
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"abstract": "In timing-based neural codes, neurons have to emit action potentials at\nprecise moments in time. We use a supervised learning paradigm to derive a\nsynaptic update rule that optimizes via gradient ascent the likelihood of\npostsynaptic firing at one or several desired firing times. We find that the\noptimal strategy of up- and downregulating synaptic efficacies can be described\nby a two-phase learning window similar to that of Spike-Timing Dependent\nPlasticity (STDP). If the presynaptic spike arrives before the desired\npostsynaptic spike timing, our optimal learning rule predicts that the synapse\nshould become potentiated. The dependence of the potentiation on spike timing\ndirectly reflects the time course of an excitatory postsynaptic potential. The\npresence and amplitude of depression of synaptic efficacies for reversed spike\ntiming depends on how constraints are implemented in the optimization problem.\nTwo different constraints, i.e., control of postsynaptic rates or control of\ntemporal locality,are discussed.",
"arxiv_id": "q-bio/0502037",
"authors": [
"Jean-Pascal Pfister",
"Taro Toyoizumi",
"David Barber",
"Wulfram Gerstner"
],
"categories": [
"q-bio.NC"
],
"title": "Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing",
"url": "https://arxiv.org/abs/q-bio/0502037"
},
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