Abstract
We present a method to distinguish direct connections between two neurons from common input originating from other, unmeasured neurons. The distinction is computed from the spike times of the two neurons in response to a white noise stimulus. Although the method is based on a highly idealized linear-nonlinear approximation of neural response, we demonstrate via simulation that the approach can work with a more realistic, integrate-and-fire neuron model. We propose that the approach exemplified by this analysis may yield viable tools for reconstructing stimulus-driven neural networks from data gathered in neurophysiology experiments.
| Original language | English (US) |
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| Title of host publication | Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002 |
| Subtitle of host publication | Proceedings of the 15th International Conference on Neural Information Processing Systems |
| Editors | Suzanna Becker, Sebastian Thrun, Klaus Obermayer |
| Publisher | Neural information processing systems foundation |
| Pages | 309-316 |
| Number of pages | 8 |
| ISBN (Electronic) | 0262025507, 9780262025508 |
| ISBN (Print) | 0262025507, 9780262025508 |
| State | Published - Jan 1 2003 |
| Event | 16th Annual Neural Information Processing Systems Conference, NIPS 2002 - Vancouver, BC, Canada Duration: Dec 9 2002 → Dec 14 2002 |
Publication series
| Name | NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems |
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Other
| Other | 16th Annual Neural Information Processing Systems Conference, NIPS 2002 |
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| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 12/9/02 → 12/14/02 |
Bibliographical note
Publisher Copyright:© NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems. All rights reserved.