The neural decoding toolbox
Population decoding is a powerful way to analyze neural data, however, currently only a small percentage of systems neuroscience researchers use this method. In order to increase the use of population decoding, we have created the Neural Decoding Toolbox (NDT) which is a Matlab package that makes it...
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| Format: | Article |
| Language: | en_US |
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Frontiers Research Foundation
2014
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| Online Access: | http://hdl.handle.net/1721.1/88064 |
| _version_ | 1826205350287638528 |
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| author | Meyers, Ethan M. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Meyers, Ethan M. |
| author_sort | Meyers, Ethan M. |
| collection | MIT |
| description | Population decoding is a powerful way to analyze neural data, however, currently only a small percentage of systems neuroscience researchers use this method. In order to increase the use of population decoding, we have created the Neural Decoding Toolbox (NDT) which is a Matlab package that makes it easy to apply population decoding analyses to neural activity. The design of the toolbox revolves around four abstract object classes which enables users to interchange particular modules in order to try different analyses while keeping the rest of the processing stream intact. The toolbox is capable of analyzing data from many different types of recording modalities, and we give examples of how it can be used to decode basic visual information from neural spiking activity and how it can be used to examine how invariant the activity of a neural population is to stimulus transformations. Overall this toolbox will make it much easier for neuroscientists to apply population decoding analyses to their data, which should help increase the pace of discovery in neuroscience. |
| first_indexed | 2024-09-23T13:11:17Z |
| format | Article |
| id | mit-1721.1/88064 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:11:17Z |
| publishDate | 2014 |
| publisher | Frontiers Research Foundation |
| record_format | dspace |
| spelling | mit-1721.1/880642022-10-01T13:36:59Z The neural decoding toolbox Meyers, Ethan M. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Meyers, Ethan M. Population decoding is a powerful way to analyze neural data, however, currently only a small percentage of systems neuroscience researchers use this method. In order to increase the use of population decoding, we have created the Neural Decoding Toolbox (NDT) which is a Matlab package that makes it easy to apply population decoding analyses to neural activity. The design of the toolbox revolves around four abstract object classes which enables users to interchange particular modules in order to try different analyses while keeping the rest of the processing stream intact. The toolbox is capable of analyzing data from many different types of recording modalities, and we give examples of how it can be used to decode basic visual information from neural spiking activity and how it can be used to examine how invariant the activity of a neural population is to stimulus transformations. Overall this toolbox will make it much easier for neuroscientists to apply population decoding analyses to their data, which should help increase the pace of discovery in neuroscience. United States. Defense Advanced Research Projects Agency (IPTO and DSO) National Science Foundation (U.S.) (NSF-0640097) National Science Foundation (U.S.) (NSF-0827427) United States. Air Force Office of Scientific Research (AFSOR-THRL (FA8650-05-C-7262)) Adobe Systems Honda Research Institute USA, Inc. King Abdullah University of Science and Technology (grant) NEC Electronics Sony Corporation Eugene McDermott Foundation 2014-06-23T16:28:14Z 2014-06-23T16:28:14Z 2013-04 2013-02 Article http://purl.org/eprint/type/JournalArticle 1662-5196 http://hdl.handle.net/1721.1/88064 Meyers, Ethan M. “The Neural Decoding Toolbox.” Front. Neuroinform. 7 (2013). en_US http://dx.doi.org/10.3389/fninf.2013.00008 Frontiers in Neuroinformatics 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 Frontiers Research Foundation Frontiers Research Foundation |
| spellingShingle | Meyers, Ethan M. The neural decoding toolbox |
| title | The neural decoding toolbox |
| title_full | The neural decoding toolbox |
| title_fullStr | The neural decoding toolbox |
| title_full_unstemmed | The neural decoding toolbox |
| title_short | The neural decoding toolbox |
| title_sort | neural decoding toolbox |
| url | http://hdl.handle.net/1721.1/88064 |
| work_keys_str_mv | AT meyersethanm theneuraldecodingtoolbox AT meyersethanm neuraldecodingtoolbox |