Open source tools for the information theoretic analysis of neural data
The recent and rapid development of open-source software tools for the analysis of neurophysiological datasets consisting of multiple simultaneous recordings of spikes, field potentials and other neural signals holds the promise for a significant advance in the standardization, transparency, quality...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2010-05-01
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| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/neuro.01.011.2010/full |
| _version_ | 1811253464717590528 |
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| author | Robin A. A Ince Alberto Mazzoni Alberto Mazzoni Rasmus S Petersen Stefano Panzeri |
| author_facet | Robin A. A Ince Alberto Mazzoni Alberto Mazzoni Rasmus S Petersen Stefano Panzeri |
| author_sort | Robin A. A Ince |
| collection | DOAJ |
| description | The recent and rapid development of open-source software tools for the analysis of neurophysiological datasets consisting of multiple simultaneous recordings of spikes, field potentials and other neural signals holds the promise for a significant advance in the standardization, transparency, quality, reproducibility and variety of techniques used to analyze neurophysiological data and integrate the information obtained at different spatial and temporal scales. In this Review we focus on recent advances in open source toolboxes for the information theoretic analysis of neural responses. We also present examples of their use to investigate the role of spike timing precision, correlations across neurons and field potential fluctuations in the encoding of sensory information. These information toolboxes, available both in Matlab and Python programming environments, hold the potential to enlarge the domain of application of information theory to neuroscience and to lead to new discoveries about how neurons encode and transmit information. |
| first_indexed | 2024-04-12T16:51:22Z |
| format | Article |
| id | doaj.art-f7d719924ace4b4294175aaad40930cc |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-12T16:51:22Z |
| publishDate | 2010-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-f7d719924ace4b4294175aaad40930cc2022-12-22T03:24:24ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2010-05-01310.3389/neuro.01.011.20101123Open source tools for the information theoretic analysis of neural dataRobin A. A Ince0Alberto Mazzoni1Alberto Mazzoni2Rasmus S Petersen3Stefano Panzeri4University of ManchesterItalian Institute of TechnologyInstitute for Scientific InterchangeUniversity of ManchesterItalian Institute of TechnologyThe recent and rapid development of open-source software tools for the analysis of neurophysiological datasets consisting of multiple simultaneous recordings of spikes, field potentials and other neural signals holds the promise for a significant advance in the standardization, transparency, quality, reproducibility and variety of techniques used to analyze neurophysiological data and integrate the information obtained at different spatial and temporal scales. In this Review we focus on recent advances in open source toolboxes for the information theoretic analysis of neural responses. We also present examples of their use to investigate the role of spike timing precision, correlations across neurons and field potential fluctuations in the encoding of sensory information. These information toolboxes, available both in Matlab and Python programming environments, hold the potential to enlarge the domain of application of information theory to neuroscience and to lead to new discoveries about how neurons encode and transmit information.http://journal.frontiersin.org/Journal/10.3389/neuro.01.011.2010/fullentropyInformation Theorymutual informationopen sourceBias |
| spellingShingle | Robin A. A Ince Alberto Mazzoni Alberto Mazzoni Rasmus S Petersen Stefano Panzeri Open source tools for the information theoretic analysis of neural data Frontiers in Neuroscience entropy Information Theory mutual information open source Bias |
| title | Open source tools for the information theoretic analysis of neural data |
| title_full | Open source tools for the information theoretic analysis of neural data |
| title_fullStr | Open source tools for the information theoretic analysis of neural data |
| title_full_unstemmed | Open source tools for the information theoretic analysis of neural data |
| title_short | Open source tools for the information theoretic analysis of neural data |
| title_sort | open source tools for the information theoretic analysis of neural data |
| topic | entropy Information Theory mutual information open source Bias |
| url | http://journal.frontiersin.org/Journal/10.3389/neuro.01.011.2010/full |
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