The brain is characterized by extensive recurrent connectivity within and between areas, which enables various patterns of arrhythmic (non-oscillatory) and rhythmic (oscillatory) neural activity that is temporally coordinated. What role do these distinct dynamics play in the large-scale processing of perceptual and predictive information? My group investigates this question using large-scale electrophysiological recordings (ECoG, LFP, EEG) across human and animal models (e.g., marmoset, macaque, trout) in combination with cutting-edge information-theoretical measures applied to neural signals (e.g., synergy, redundancy, transfer entropy), and computational modelling.
Andres Canales-Johnson
Research Group Leader, PhD in Biological Sciences (Cambridge)
Email: andres.canales-johnson (a) helsinki.fi
Neuroscience Center, HiLIFE
P.O 21, Haartmaninkatu 3
FI-00014 University of Helsinki