dorsal/arxiv
View SchemaEffect of Synchronous Incoming Spikes on Activity Pattern in A Network of Spiking Neurons
| Authors | Takaaki Aoki, Toshio Aoyagi |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0410029 |
| URL | https://arxiv.org/abs/q-bio/0410029 |
Abstract
Although recent neurophysiological experiments suggest that synchronous neural activity is involved in some perceptual and cognitive processes, the functional role of such coherent neuronal behavior is not well understood. As a first step in clarifying this role, we investigate how the temporal coherence of certain neuronal activity affects the activity pattern in a neural network. Using a simple network of leaky integrate-and-fire neurons, we study the effects of synchronized incoming spikes on the functioning of two mechanisms typically used in model neural systems, winner-take-all competition and associative memory. We demonstrate that a pair of switches undergone by the incoming spikes, from asynchronous to synchronous and then back to asynchronous, triggers a transition of the network from one state to another state. In the case of associative memory, for example, this switching controls the timing of the next recalling, whereas the firing rate pattern in the asynchronous state prepares the network for the next retrieval pattern.
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"date_created": "2026-03-02T18:01:31.085000Z",
"date_modified": "2026-03-02T18:01:31.085000Z",
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"abstract": "Although recent neurophysiological experiments suggest that synchronous\nneural activity is involved in some perceptual and cognitive processes, the\nfunctional role of such coherent neuronal behavior is not well understood. As a\nfirst step in clarifying this role, we investigate how the temporal coherence\nof certain neuronal activity affects the activity pattern in a neural network.\nUsing a simple network of leaky integrate-and-fire neurons, we study the\neffects of synchronized incoming spikes on the functioning of two mechanisms\ntypically used in model neural systems, winner-take-all competition and\nassociative memory. We demonstrate that a pair of switches undergone by the\nincoming spikes, from asynchronous to synchronous and then back to\nasynchronous, triggers a transition of the network from one state to another\nstate. In the case of associative memory, for example, this switching controls\nthe timing of the next recalling, whereas the firing rate pattern in the\nasynchronous state prepares the network for the next retrieval pattern.",
"arxiv_id": "q-bio/0410029",
"authors": [
"Takaaki Aoki",
"Toshio Aoyagi"
],
"categories": [
"q-bio.NC"
],
"title": "Effect of Synchronous Incoming Spikes on Activity Pattern in A Network of Spiking Neurons",
"url": "https://arxiv.org/abs/q-bio/0410029"
},
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"source": {
"execution_id": "639a979c-16ac-4950-a313-7a4c5155615a",
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"type": "Model",
"variant": "snapshot-2026-03-01",
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