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

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Notes by user Viktor Jirsa (Aix-Marseille Université) for Cognitive Regime Shift II - When/why/how the Brain Breaks

Post-meeting Reflection

1+ paragraphs on any combination of the following:

  • Presentation highlights
  • Open questions that came up
  • How your perspective changed
  • Impact on your own work
  • e.g. the discussion on [A] that we are having reminds me of [B] conference/[C] initiative/[D] funding call-for-proposal/[E] research group

Excellent presentations were given highlighting the descriptive power of convolutional deep networks, also illustrating its partial explanatory power and where it fails. This pointed out some interesting ways forward that have to go beyond their current architecture, in particular taking dynamics into account. Interplay between structural and functional connectivity was highlighted. Limitations of stationary metrics were evident (functional connectivity), but nicely showed how far it can be pushed successfully in applications. Model approaches providing explanatory approaches were often too simplistic, not in terms of realism, but in terms of simplifications of concepts (brain states, behavior, as static entities). In the discussions it was evident that there is a need for a formalisation of the internal state dynamics of the brain, before perturbations can be applied to it (breaking the brain). A formal frame work for provision of and recovery from such perturbations is needed, several good attempts were provided and need to be pursued in the future, and supported by data. Need for individual predictive capacity of these frameworks was highlighted rightfully.

Reference material notes

Some examples:

  • Here is [A] database on [B] that I pull data from to do [C] analysis that might be of interest to this group (insert link).
  • Here is a free tool for calculating [ABC] (insert link)
  • This painting/sculpture/forms of artwork is emblematic to our discussion on [X]!
  • Schwartz et al. 2017 offers a review on [ABC] migration as relate to climatic factors (add the reference as well).

Pillai & Jirsa 2017 argue that critical to our understanding of brain function is an appropriate representation of behavior, which then is to be placed in relation with brain network activity in space and time. Such representation must be based on dynamics (as opposed to derivatives thereof such as singular data features) and establishes the link between network structure and function.

Reference Materials

Title Author name Source name Year Citation count From Scopus. Refreshed every 5 days. Page views Related file
Symmetry Breaking in Space-Time Hierarchies Shapes Brain Dynamics and Behavior Ajay S. Pillai, Viktor K. Jirsa Neuron 2017 0 13 Download (Encrypted)