Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain
Neurons in the sensory system exhibit changes in excitability that unfold over many time scales. These fluctuations produce noise and could potentially lead to perceptual errors. However, to prevent such errors, postsynaptic neurons and synapses can adapt and counteract changes in the excitability o...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Public Library of Science
2011
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| Online Access: | http://hdl.handle.net/1721.1/60381 https://orcid.org/0000-0003-2442-5671 |
| _version_ | 1811078651524939776 |
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| author | Stevenson, Ian H. Cronin, Beau Sur, Mriganka Kording, Konrad P. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Stevenson, Ian H. Cronin, Beau Sur, Mriganka Kording, Konrad P. |
| author_sort | Stevenson, Ian H. |
| collection | MIT |
| description | Neurons in the sensory system exhibit changes in excitability that unfold over many time scales. These fluctuations produce noise and could potentially lead to perceptual errors. However, to prevent such errors, postsynaptic neurons and synapses can adapt and counteract changes in the excitability of presynaptic neurons. Here we ask how neurons could optimally adapt to minimize the influence of changing presynaptic neural properties on their outputs. The resulting model, based on Bayesian inference, explains a range of physiological results from experiments which have measured the overall properties and detailed time-course of sensory tuning curve adaptation in the early visual cortex. We show how several experimentally measured short term plasticity phenomena can be understood as near-optimal solutions to this adaptation problem. This framework provides a link between high level computational problems, the properties of cortical neurons, and synaptic physiology. |
| first_indexed | 2024-09-23T11:03:10Z |
| format | Article |
| id | mit-1721.1/60381 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:03:10Z |
| publishDate | 2011 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/603812022-09-27T16:48:39Z Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain Stevenson, Ian H. Cronin, Beau Sur, Mriganka Kording, Konrad P. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Picower Institute for Learning and Memory Sur, Mriganka Sur, Mriganka Cronin, Beau Neurons in the sensory system exhibit changes in excitability that unfold over many time scales. These fluctuations produce noise and could potentially lead to perceptual errors. However, to prevent such errors, postsynaptic neurons and synapses can adapt and counteract changes in the excitability of presynaptic neurons. Here we ask how neurons could optimally adapt to minimize the influence of changing presynaptic neural properties on their outputs. The resulting model, based on Bayesian inference, explains a range of physiological results from experiments which have measured the overall properties and detailed time-course of sensory tuning curve adaptation in the early visual cortex. We show how several experimentally measured short term plasticity phenomena can be understood as near-optimal solutions to this adaptation problem. This framework provides a link between high level computational problems, the properties of cortical neurons, and synaptic physiology. National Eye Institute (EY01362) Chicago Community Trust National Institutes of Health (U.S.) (1R01NS063399 ) National Institutes of Health (U.S.) (2P01NS044393) 2011-01-06T15:40:47Z 2011-01-06T15:40:47Z 2010-08 2010-06 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/60381 Stevenson, Ian H. et al. “Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain.” PLoS ONE 5.8 (2010): e12436. https://orcid.org/0000-0003-2442-5671 en_US http://dx.doi.org/10.1371/journal.pone.0012436 PLoS One Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS |
| spellingShingle | Stevenson, Ian H. Cronin, Beau Sur, Mriganka Kording, Konrad P. Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain |
| title | Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain |
| title_full | Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain |
| title_fullStr | Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain |
| title_full_unstemmed | Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain |
| title_short | Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain |
| title_sort | sensory adaptation and short term plasticity as bayesian correction for a changing brain |
| url | http://hdl.handle.net/1721.1/60381 https://orcid.org/0000-0003-2442-5671 |
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