dorsal/arxiv
View SchemaTheory of Interaction of Memory Patterns in Layered Associative Networks
| Authors | Kazuya Ishibashi, Kosuke Hamaguchi, Masato Okada |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0605022 |
| URL | https://arxiv.org/abs/q-bio/0605022 |
| DOI | 10.1143/JPSJ.75.114803 |
Abstract
A synfire chain is a network that can generate repeated spike patterns with millisecond precision. Although synfire chains with only one activity propagation mode have been intensively analyzed with several neuron models, those with several stable propagation modes have not been thoroughly investigated. By using the leaky integrate-and-fire neuron model, we constructed a layered associative network embedded with memory patterns. We analyzed the network dynamics with the Fokker-Planck equation. First, we addressed the stability of one memory pattern as a propagating spike volley. We showed that memory patterns propagate as pulse packets. Second, we investigated the activity when we activated two different memory patterns. Simultaneous activation of two memory patterns with the same strength led the propagating pattern to a mixed state. In contrast, when the activations had different strengths, the pulse packet converged to a two-peak state. Finally, we studied the effect of the preceding pulse packet on the following pulse packet. The following pulse packet was modified from its original activated memory pattern, and it converged to a two-peak state, mixed state or non-spike state depending on the time interval.
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"abstract": "A synfire chain is a network that can generate repeated spike patterns with\nmillisecond precision. Although synfire chains with only one activity\npropagation mode have been intensively analyzed with several neuron models,\nthose with several stable propagation modes have not been thoroughly\ninvestigated. By using the leaky integrate-and-fire neuron model, we\nconstructed a layered associative network embedded with memory patterns. We\nanalyzed the network dynamics with the Fokker-Planck equation. First, we\naddressed the stability of one memory pattern as a propagating spike volley. We\nshowed that memory patterns propagate as pulse packets. Second, we investigated\nthe activity when we activated two different memory patterns. Simultaneous\nactivation of two memory patterns with the same strength led the propagating\npattern to a mixed state. In contrast, when the activations had different\nstrengths, the pulse packet converged to a two-peak state. Finally, we studied\nthe effect of the preceding pulse packet on the following pulse packet. The\nfollowing pulse packet was modified from its original activated memory pattern,\nand it converged to a two-peak state, mixed state or non-spike state depending\non the time interval.",
"arxiv_id": "q-bio/0605022",
"authors": [
"Kazuya Ishibashi",
"Kosuke Hamaguchi",
"Masato Okada"
],
"categories": [
"q-bio.NC"
],
"doi": "10.1143/JPSJ.75.114803",
"title": "Theory of Interaction of Memory Patterns in Layered Associative Networks",
"url": "https://arxiv.org/abs/q-bio/0605022"
},
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