Learning is a complex phenomenon occurring at many different levels from cells inside our brains to whole societies.
In Winter Institute 2014, we featured two keynotes and two research workshops that would help us to understand learning as a network based phenomenon from neural networks to social networks.
Keynote 1
◎Keynote
Self-biases in perception and memory
January 13, 2014
15:00-16:30
Room CPD-3.28, Centennial Campus, The University of Hong Kong
Professor Glyn Humphreys, Oxford University
This workshop is part of Winter Institute 2014. Description There is much evidence indicating that humans are inherently self-biased, showing enhanced information processing for information relating to ourselves rather than other people. These bias effects can pervade even basic perceptual processes and are…Keynote 2
◎Keynote
Systems of learning across levels: from neural to social structures
January 13, 2014
16:45-18:00
Room CPD-3.28, Centennial Campus, The University of Hong Kong
Professor Liaquat Hossain, The University of Hong Kong
This keynote is part of Winter Institute 2014. Description Network effects on individuals’ ability to learn better have been documented in studies based on communication, social psychology and mathematical sociology. Studies have shown that the locus of innovation is…Workshop 1
Linking diagnostics and rehabilitation in cognitive neuropsychology
January 13, 2014
9:30-12:30
Room 820, Meng Wah Building, The University of Hong Kong
Professor Glyn Humphreys, Oxford University
This workshop is part of Winter Institute 2014. Description In this workshop I will review work we have undertaken in the Oxford Cognitive Neuropsychology Laboratory linked to improving the diagnostic assessment of individuals with brain injury and then linking these diagnostics…Workshop 2
Learning about Network Science Research
January 14, 2014
14:00 – 17:00
Room 820, Meng Wah Building, The University of Hong Kong
Professor Liaquat Hossain, University of Hong Kong
This workshop is part of Winter Institute 2014. Description This is an introductory workshop on social network analysis for investigating complex social systems. I will highlight the data collection procedure, its benefits and limitations and standard measures…