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Cognitive Regime Shift II - When/why/how the Brain Breaks

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Meeting Synopsis

In this second working group on the brain we shall build on some of the foundational discussions raised in the first meeting. These included significant debate around the merits of correlation vs. causation, indicators or indices of the loss of function, and the relationship among levels required to explain failure - from the genetic and cellular to the cognitive and behavioral (including states such as sleep and anesthesia). Mechanisms of loss of function discussed will range from cell to network drop-out. We shall return to some of the key questions that motivated the first meeting with a better sense of the limitations of data sets and tools of analysis. This includes the synthesis and integration of neurology with several areas of complexity science to include adaptation and robustness in system aging, early network-based indicators for risk factors, the application of criticality and related tipping point to regime shifts, the measurement of long-range order and disorder across the brain, and methods for analyzing collective dynamics in the aging and diseased brain.

 

This event is supported by the James S. McDonnell Foundation Grant Number 220020491, Adaptation, Aging, and the Arrow of Time. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the James S. McDonnell Foundation.





  • Resources
  • A Neural Network Model of Retrieval-Induced Forgetting
  • Altered avalanche dynamics in a developmental NMDAR hypofunction model of cognitive impairment
  • Brain disorders? Not really: Why network structures block reductionism in psychopathology research
  • Brain state stability during working memory is explained by network control theory, modulated by dopamine D1/D2 receptor function, and diminished in schizophrenia
  • Cholinergic modulation of cognitive processing: Insights drawn from computational models
  • Coherence potentials: Loss-less, all-or-none network events in the cortex
  • Communication dynamics in complex brain networks
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