dorsal/arxiv
View SchemaNeuromodulation Influences Synchronization and Intrinsic Read-out
| Authors | Gabriele Scheler |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0507037 |
| URL | https://arxiv.org/abs/q-bio/0507037 |
| DOI | 10.12688/f1000research.15804.2 |
| Journal | F1000Research 2018, 7:1277 |
| License | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
Abstract
Background: The roles of neuromodulation in a neural network, such as in a cortical microcolumn, are still incompletely understood. Neuromodulation influences neural processing by presynaptic and postsynaptic regulation of synaptic efficacy. Neuromodulation also affects ion channels and intrinsic excitability. Methods: Synaptic efficacy modulation is an effective way to rapidly alter network density and topology. We alter network topology and density to measure the effect on spike synchronization. We also operate with differently parameterized neuron models which alter the neurons intrinsic excitability, i.e., activation function. Results: We find that (a) fast synaptic efficacy modulation influences the amount of correlated spiking in a network. Also, (b) synchronization in a network influences the read-out of intrinsic properties. Highly synchronous input drives neurons, such that differences in intrinsic properties disappear, while asynchronous input lets intrinsic properties determine output behavior. Thus, altering network topology can alter the balance between intrinsically vs. synaptically driven network activity. Conclusion: We conclude that neuromodulation may allow a network to shift between a more synchronized transmission mode and a more asynchronous intrinsic read-out mode. This has significant implications for our understanding of the flexibility of cortical computations.
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"abstract": "Background: The roles of neuromodulation in a neural network, such as in a\ncortical microcolumn, are still incompletely understood. Neuromodulation\ninfluences neural processing by presynaptic and postsynaptic regulation of\nsynaptic efficacy. Neuromodulation also affects ion channels and intrinsic\nexcitability. Methods: Synaptic efficacy modulation is an effective way to\nrapidly alter network density and topology. We alter network topology and\ndensity to measure the effect on spike synchronization. We also operate with\ndifferently parameterized neuron models which alter the neurons intrinsic\nexcitability, i.e., activation function. Results: We find that (a) fast\nsynaptic efficacy modulation influences the amount of correlated spiking in a\nnetwork. Also, (b) synchronization in a network influences the read-out of\nintrinsic properties. Highly synchronous input drives neurons, such that\ndifferences in intrinsic properties disappear, while asynchronous input lets\nintrinsic properties determine output behavior. Thus, altering network topology\ncan alter the balance between intrinsically vs. synaptically driven network\nactivity. Conclusion: We conclude that neuromodulation may allow a network to\nshift between a more synchronized transmission mode and a more asynchronous\nintrinsic read-out mode. This has significant implications for our\nunderstanding of the flexibility of cortical computations.",
"arxiv_id": "q-bio/0507037",
"authors": [
"Gabriele Scheler"
],
"categories": [
"q-bio.NC",
"cs.NE",
"nlin.AO"
],
"doi": "10.12688/f1000research.15804.2",
"journal_ref": "F1000Research 2018, 7:1277",
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"title": "Neuromodulation Influences Synchronization and Intrinsic Read-out",
"url": "https://arxiv.org/abs/q-bio/0507037"
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