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COMPLEX TIME: Adaptation, Aging, & Arrow of Time

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Difference between revisions of "Cognitive Regime Shift I - When the Brain Breaks/WG Context under SFI Adaptation, Aging, Arrow of Time (AAA) & Wiki Collaboration Platform"

From Complex Time
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“Decades ago, it was suggested that critical dynamics optimize information transfer in gene-regulation networks(8-11). Since then, the criticality hypothesis(12-21) and alternative models for scale-invariant neuronal organization (e.g. refs.(22-26)} have gained much ground in the field of neuroscience. The functional benefits of critical dynamics for brain function include maximization of mutual information between stimulus input and output(27-31), information capacity (i.e. the number of possible internal states a network can establish)(32-34), stimulus discrimination(35, 36), and the ability of neurons to flexibly change synchronization while maintaining an overall robust degree of phase-locking(37-40), all of which are highly desirable aspects of information processing.</li><li class="mw_paragraph">The group might be particularly interested in recent papers from our group and Matias Palva’s group on human disease states and/or behavioral performance demonstrating criticality and deviation from criticality in patients taking anti-epileptic drugs (41, 42), in sleep-deprived normal subjects (43, 44), avalanche scaling exponents in the human brain that correlate with behavioral performance (45, 46) as well as deviations from criticality in animal models of schizophrenia (47).</li></ol>
 
“Decades ago, it was suggested that critical dynamics optimize information transfer in gene-regulation networks(8-11). Since then, the criticality hypothesis(12-21) and alternative models for scale-invariant neuronal organization (e.g. refs.(22-26)} have gained much ground in the field of neuroscience. The functional benefits of critical dynamics for brain function include maximization of mutual information between stimulus input and output(27-31), information capacity (i.e. the number of possible internal states a network can establish)(32-34), stimulus discrimination(35, 36), and the ability of neurons to flexibly change synchronization while maintaining an overall robust degree of phase-locking(37-40), all of which are highly desirable aspects of information processing.</li><li class="mw_paragraph">The group might be particularly interested in recent papers from our group and Matias Palva’s group on human disease states and/or behavioral performance demonstrating criticality and deviation from criticality in patients taking anti-epileptic drugs (41, 42), in sleep-deprived normal subjects (43, 44), avalanche scaling exponents in the human brain that correlate with behavioral performance (45, 46) as well as deviations from criticality in animal models of schizophrenia (47).</li></ol>
 
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Revision as of 23:51, July 23, 2018

July 23, 2018
10:00 am - 10:30 am

Presenter

Amy P Chen (SFI)

Abstract
  • 1 to 2 paragraphs summarizing your 30-min talk (if you are willing, upload your talk file (ppt, key, prezi, etc.))
Presentation file(s)
Download Presentation (Delete)
Related files

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