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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.15206 |
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| _version_ | 1866916258988949504 |
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| author | Chen, Kevin S. Yang, Ying-Jen |
| author_facet | Chen, Kevin S. Yang, Ying-Jen |
| contents | The characterization of network and biophysical properties from neural spiking activity is an important goal in neuroscience. A framework that provides unbiased inference on causal synaptic interaction and single neural properties has been missing. Here we applied the stochastic dynamics extension of Maximum Entropy -- the Maximum Caliber Principle -- to infer the transition rates of network states. Effective synaptic coupling strength and neuronal response functions for various network motifs can then be computed. The inferred minimal model also enables leading-order reconstruction of inter-spike interval distribution. Our method is tested with numerical simulated spiking networks and applied to data from salamander retina. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_15206 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Maximum Caliber Infers Effective Coupling and Response from Spiking Networks Chen, Kevin S. Yang, Ying-Jen Neurons and Cognition Biological Physics The characterization of network and biophysical properties from neural spiking activity is an important goal in neuroscience. A framework that provides unbiased inference on causal synaptic interaction and single neural properties has been missing. Here we applied the stochastic dynamics extension of Maximum Entropy -- the Maximum Caliber Principle -- to infer the transition rates of network states. Effective synaptic coupling strength and neuronal response functions for various network motifs can then be computed. The inferred minimal model also enables leading-order reconstruction of inter-spike interval distribution. Our method is tested with numerical simulated spiking networks and applied to data from salamander retina. |
| title | Maximum Caliber Infers Effective Coupling and Response from Spiking Networks |
| topic | Neurons and Cognition Biological Physics |
| url | https://arxiv.org/abs/2405.15206 |