Correlation and criticality in neuronal networks (MS Teams Webinar)

Submitted by padniuk on Fri, 01/08/2021 - 18:07
PRELEGENT: 
dr Jeremi Ochab
DataSeminarium: 
2021-01-11
AfiliacjaPrelegenta: 
Zakład Teorii Układów Złożonych IF UJ
AbstraktSeminarium: 
Long-range temporal autocorrelations and 1/f power spectra comprise the temporal structure of neural activity visible in signal recorded with various experimental techniques: magneto- and electroencephalography (MEG, EEG), electrocorticography (ECoG) and functional magnetic resonance imaging (fMRI). Such long-rage correlation appear in behavioural data as well, and were shown to be associated with the brain autocorrelations mentioned above. Additionally, occurrence of spatial long-range correlations and our ability to reconstruct patterns of spontaneous co-activations of cortical brain regions (resting-state networks) with models poised at phase transition suggest that one could describe brain in terms of a critical system.

During the seminar, I shall present examples of analysing neurophysiological, motor, and behavioural signals, which serve designing objective diagnostic measures, as well as artificial neural networks that are biologically inspired.

 

To participate at the webinar, please, contact dr Szymon Pustelny (szymon.pustelny@uj.edu.pl)

https://teams.microsoft.com/l/channel/19%3a3721f0b9286c47c78efdd4f33e6adf7a%40thread.tacv2/General?groupId=d4c030cf-1dbb-4300-ad6d-f346f7a2dd08&tenantId=eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb