Synaptic Transmission: An Information-Theoretic Perspective
| dc.creator | Manwani, A. | |
| dc.creator | Koch, C. | |
| dc.date | 1998-09-22 | |
| dc.date.accessioned | 2026-07-07T05:57:52Z | |
| dc.date.available | 2026-07-07T05:57:52Z | |
| dc.description | Here we analyze synaptic transmission from an information-theoretic perspective. We derive closed-form expressions for the lower-bounds on the capacity of a simple model of a cortical synapse under two explicit coding paradigms. Under the ``signal estimation'' paradigm, we assume the signal to be encoded in the mean firing rate of a Poisson neuron. The performance of an optimal linear estimator of the signal then provides a lower bound on the capacity for signal estimation. Under the ``signal detection'' paradigm, the presence or absence of the signal has to be detected. Performance of the optimal spike detector allows us to compute a lower bound on the capacity for signal detection. We find that single synapses (for empirically measured parameter values) transmit information poorly but significant improvement can be achieved with a small amount of redundancy. | |
| dc.description | 7 pages, 4 figures, NIPS97 proceedings: neuroscience. Originally submitted to the neuro-sys archive which was never publicly announced (was 9809002) | |
| dc.identifier | https://arxiv.org/abs/q-bio/0309030 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0309030 | |
| dc.identifier | Advances in Neural Information Processing Systems 10, Michael I. Jordan, Michael J. Kearns and Sara Solla (eds.), 1997 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/88150 | |
| dc.subject | Neurons and Cognition | |
| dc.title | Synaptic Transmission: An Information-Theoretic Perspective | |
| dc.type | text |