Synchronization can control regularization in neural systems via correlated noise processes
To learn reliable rules that can generalize to novel situations, the brain must be capable of imposing some form of regularization. Here we suggest, through theoretical and computational arguments, that the combination of noise with synchronization provides a plausible mechanism for regularization i...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Neural Information Processing Systems Foundation, Inc
2020
|
| Online Access: | https://hdl.handle.net/1721.1/128487 |
| _version_ | 1826206726975651840 |
|---|---|
| author | Bouvrie, Jacob Vincent Slotine, Jean-Jacques E |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Bouvrie, Jacob Vincent Slotine, Jean-Jacques E |
| author_sort | Bouvrie, Jacob Vincent |
| collection | MIT |
| description | To learn reliable rules that can generalize to novel situations, the brain must be capable of imposing some form of regularization. Here we suggest, through theoretical and computational arguments, that the combination of noise with synchronization provides a plausible mechanism for regularization in the nervous system. The functional role of regularization is considered in a general context in which coupled computational systems receive inputs corrupted by correlated noise. Noise on the inputs is shown to impose regularization, and when synchronization upstream induces time-varying correlations across noise variables, the degree of regularization can be calibrated over time. The resulting qualitative behavior matches experimental data from visual cortex. |
| first_indexed | 2024-09-23T13:37:18Z |
| format | Article |
| id | mit-1721.1/128487 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:37:18Z |
| publishDate | 2020 |
| publisher | Neural Information Processing Systems Foundation, Inc |
| record_format | dspace |
| spelling | mit-1721.1/1284872022-10-01T16:07:58Z Synchronization can control regularization in neural systems via correlated noise processes Bouvrie, Jacob Vincent Slotine, Jean-Jacques E Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences To learn reliable rules that can generalize to novel situations, the brain must be capable of imposing some form of regularization. Here we suggest, through theoretical and computational arguments, that the combination of noise with synchronization provides a plausible mechanism for regularization in the nervous system. The functional role of regularization is considered in a general context in which coupled computational systems receive inputs corrupted by correlated noise. Noise on the inputs is shown to impose regularization, and when synchronization upstream induces time-varying correlations across noise variables, the degree of regularization can be calibrated over time. The resulting qualitative behavior matches experimental data from visual cortex. 2020-11-16T17:01:27Z 2020-11-16T17:01:27Z 2012-12 2019-01-03T13:48:51Z Article http://purl.org/eprint/type/ConferencePaper 78-1-62748-003-1 https://hdl.handle.net/1721.1/128487 Bouvrie, Jake and Jean-Jacques Slotine. "Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes." Advances in Neural Information Processing Systems 25 (NIPS 2012), Lake Tahoe, Nevada, USA, Neural Information Processing Systems Foundation, December 2012. https://papers.nips.cc/paper/4527-synchronization-can-control-regularization-in-neural-systems-via-correlated-noise-processes Advances in Neural Information Processing Systems 25 (NIPS 2012) Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Neural Information Processing Systems Foundation, Inc Neural Information Processing Systems (NIPS) |
| spellingShingle | Bouvrie, Jacob Vincent Slotine, Jean-Jacques E Synchronization can control regularization in neural systems via correlated noise processes |
| title | Synchronization can control regularization in neural systems via correlated noise processes |
| title_full | Synchronization can control regularization in neural systems via correlated noise processes |
| title_fullStr | Synchronization can control regularization in neural systems via correlated noise processes |
| title_full_unstemmed | Synchronization can control regularization in neural systems via correlated noise processes |
| title_short | Synchronization can control regularization in neural systems via correlated noise processes |
| title_sort | synchronization can control regularization in neural systems via correlated noise processes |
| url | https://hdl.handle.net/1721.1/128487 |
| work_keys_str_mv | AT bouvriejacobvincent synchronizationcancontrolregularizationinneuralsystemsviacorrelatednoiseprocesses AT slotinejeanjacquese synchronizationcancontrolregularizationinneuralsystemsviacorrelatednoiseprocesses |