Slow Cortical Dynamics and the Accumulation of Information over Long Timescales

Slow Cortical Dynamics and the Accumulation of Information over Long Timescales. Honey, .C‥, Thesen, T., Donner, .T‥, Silbert, .L‥, Carlson, .C‥, Devinsky, O., Doyle, .W‥, Rubin, N., Heeger, .D‥, & Hasson, U. Neuron, 76(2):423--434, 2012.
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Making sense of the world requires us to process information over multiple timescales. We sought to identify brain regions that accumulate information over short and long timescales and to characterize the distinguishing features of their dynamics. We recorded electrocorticographic (ECoG) signals from individuals watching intact and scrambled movies. Within sensory regions, fluctuations of high-frequency (64-200 Hz) power reliably tracked instantaneous low-level properties of the intact and scrambled movies. Within higher order regions, the power fluctuations were more reliable for the intact movie than the scrambled movie, indicating that these regions accumulate information over relatively long time periods (several seconds or longer). Slow (\textless0.1 Hz) fluctuations of high-frequency power with time courses locked to the movies were observed throughout the cortex. Slow fluctuations were relatively larger in regions that accumulated information over longer time periods, suggesting a connection between slow neuronal population dynamics and temporally extended information processing. Honey et al. use intracranial recordings from the human brain to show that slow changes in neuronal firing over many seconds, which are often treated as background noise, reflect a distributed process in which information is accumulated over time. © 2012 Elsevier Inc.

@article{ honey_slow_2012,
  title = {Slow Cortical Dynamics and the Accumulation of Information over Long Timescales},
  volume = {76},
  issn = {08966273},
  doi = {10.1016/j.neuron.2012.08.011},
  abstract = {Making sense of the world requires us to process information over multiple timescales. We sought to identify brain regions that accumulate information over short and long timescales and to characterize the distinguishing features of their dynamics. We recorded electrocorticographic ({ECoG)} signals from individuals watching intact and scrambled movies. Within sensory regions, fluctuations of high-frequency (64-200 Hz) power reliably tracked instantaneous low-level properties of the intact and scrambled movies. Within higher order regions, the power fluctuations were more reliable for the intact movie than the scrambled movie, indicating that these regions accumulate information over relatively long time periods (several seconds or longer). Slow ({\textless}0.1 Hz) fluctuations of high-frequency power with time courses locked to the movies were observed throughout the cortex. Slow fluctuations were relatively larger in regions that accumulated information over longer time periods, suggesting a connection between slow neuronal population dynamics and temporally extended information processing. Honey et al. use intracranial recordings from the human brain to show that slow changes in neuronal firing over many seconds, which are often treated as background noise, reflect a distributed process in which information is accumulated over time. © 2012 Elsevier Inc.},
  language = {English},
  number = {2},
  journal = {Neuron},
  author = {Honey, {C.J.} and Thesen, T. and Donner, {T.H.} and Silbert, {L.J.} and Carlson, {C.E.} and Devinsky, O. and Doyle, {W.K.} and Rubin, N. and Heeger, {D.J.} and Hasson, U.},
  year = {2012},
  pages = {423--434}
}

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We sought to identify brain regions that accumulate information over short and long timescales and to characterize the distinguishing features of their dynamics. We recorded electrocorticographic ({ECoG)} signals from individuals watching intact and scrambled movies. Within sensory regions, fluctuations of high-frequency (64-200 Hz) power reliably tracked instantaneous low-level properties of the intact and scrambled movies. Within higher order regions, the power fluctuations were more reliable for the intact movie than the scrambled movie, indicating that these regions accumulate information over relatively long time periods (several seconds or longer). Slow ({\\textless}0.1 Hz) fluctuations of high-frequency power with time courses locked to the movies were observed throughout the cortex. Slow fluctuations were relatively larger in regions that accumulated information over longer time periods, suggesting a connection between slow neuronal population dynamics and temporally extended information processing. Honey et al. use intracranial recordings from the human brain to show that slow changes in neuronal firing over many seconds, which are often treated as background noise, reflect a distributed process in which information is accumulated over time. © 2012 Elsevier Inc.},\n language = {English},\n number = {2},\n journal = {Neuron},\n author = {Honey, {C.J.} and Thesen, T. and Donner, {T.H.} and Silbert, {L.J.} and Carlson, {C.E.} and Devinsky, O. and Doyle, {W.K.} and Rubin, N. and Heeger, {D.J.} and Hasson, U.},\n year = {2012},\n pages = {423--434}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" id=\"abstract_honey_slow_2012\"\n style=\"display:none\">\n Making sense of the world requires us to process information over multiple timescales. 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Slow fluctuations were relatively larger in regions that accumulated information over longer time periods, suggesting a connection between slow neuronal population dynamics and temporally extended information processing. Honey et al. use intracranial recordings from the human brain to show that slow changes in neuronal firing over many seconds, which are often treated as background noise, reflect a distributed process in which information is accumulated over time. © 2012 Elsevier Inc.\n</div>\n\n\n</div>\n","downloads":0,"bibbaseid":"honey-thesen-donner-silbert-carlson-devinsky-doyle-rubin-heeger-hasson-slowcorticaldynamicsandtheaccumulationofinformationoverlongtimescales-2012","role":"author","year":"2012","volume":"76","type":"article","title":"Slow Cortical Dynamics and the Accumulation of Information over Long Timescales","pages":"423--434","number":"2","language":"English","key":"honey_slow_2012","journal":"Neuron","issn":"08966273","id":"honey_slow_2012","doi":"10.1016/j.neuron.2012.08.011","bibtype":"article","bibtex":"@article{ honey_slow_2012,\n title = {Slow Cortical Dynamics and the Accumulation of Information over Long Timescales},\n volume = {76},\n issn = {08966273},\n doi = {10.1016/j.neuron.2012.08.011},\n abstract = {Making sense of the world requires us to process information over multiple timescales. We sought to identify brain regions that accumulate information over short and long timescales and to characterize the distinguishing features of their dynamics. We recorded electrocorticographic ({ECoG)} signals from individuals watching intact and scrambled movies. Within sensory regions, fluctuations of high-frequency (64-200 Hz) power reliably tracked instantaneous low-level properties of the intact and scrambled movies. Within higher order regions, the power fluctuations were more reliable for the intact movie than the scrambled movie, indicating that these regions accumulate information over relatively long time periods (several seconds or longer). Slow ({\\textless}0.1 Hz) fluctuations of high-frequency power with time courses locked to the movies were observed throughout the cortex. Slow fluctuations were relatively larger in regions that accumulated information over longer time periods, suggesting a connection between slow neuronal population dynamics and temporally extended information processing. Honey et al. use intracranial recordings from the human brain to show that slow changes in neuronal firing over many seconds, which are often treated as background noise, reflect a distributed process in which information is accumulated over time. © 2012 Elsevier Inc.},\n language = {English},\n number = {2},\n journal = {Neuron},\n author = {Honey, {C.J.} and Thesen, T. and Donner, {T.H.} and Silbert, {L.J.} and Carlson, {C.E.} and Devinsky, O. and Doyle, {W.K.} and Rubin, N. and Heeger, {D.J.} and Hasson, U.},\n year = {2012},\n pages = {423--434}\n}","author_short":["Honey, .C‥","Thesen, T.","Donner, .T‥","Silbert, .L‥","Carlson, .C‥","Devinsky, O.","Doyle, .W‥","Rubin, N.","Heeger, .D‥","Hasson, U."],"author":["Honey, C.J.","Thesen, T.","Donner, T.H.","Silbert, L.J.","Carlson, C.E.","Devinsky, O.","Doyle, W.K.","Rubin, N.","Heeger, D.J.","Hasson, U."],"abstract":"Making sense of the world requires us to process information over multiple timescales. 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