CHBH Seminar Series: Dr Robin Ince

Location
Gisbert Kapp N224
Category
Lectures Talks and Workshops, Life and Environmental Sciences, Medical and Dental Sciences, Research, Students
Dates
Thursday 10th October 2019 (13:00-14:00)
Download the date to your calendar (.ics file)
Contact

Dr Ali Mazaheri: a.mazaheri@bham.ac.uk
Mr Chris Anderson: c.j.anderson@bham.ac.uk
Dr Emily Loftus: e.l.loftus@bham.ac.uk

We are pleased to announce that Dr Robin Ince from University of Glasgow will be presenting a CHBH Seminar on Thursday 10th October at 13:00.

Robin studied Mathematics at undergraduate going on to postgraduate study in computational neuroscience. He did his PhD at the University of Manchester analysing spike trains recorded from rodent somatosensory thalamus. After a postdoc at the Max-Plank Institute for Biological Cybernetics in Tuebingen, also analysing animal electrophysiology, he moved to Glasgow and shifted to work on analysis of human neuroimaging data. He is now a permanent Research Fellow at the Centre for Cognitive Neuroimaging at the University of Glasgow. His work has focussed on practical applications of information theory for data analysis, but he is also interested more broadly in statistical issues in neuroimaging.

Title: Quantifying representational interactions in neuroimaging data using information theory

There is growing recognition of the importance of considering the information content of experimentally recorded neural signals, rather than studying only differences in activation levels between conditions. I will present Gaussian-Copula Mutual Information (GCMI) [1], a mutual information estimator that has a number of advantages for practical data analysis. I will demonstrate how this estimator can be used to quantify representational interactions in neuroimaging data through co-information and the Partial Information Decomposition [2], both approaches which can quantify redundancy and synergy between neural representations [1], between stimulus features [3], or between neural representations and behavioural responses [4,5]. I will also show how GCMI and PID can be used for detailed comparison of predictive models [6]. 

[1] Ince et al. (2017) Human Brain Mapping doi:10.1002/hbm.23471
[2] Ince (2017) Entropy doi:10.3390/e19070318
[3] Park et al. (2018) PLoS Biology doi:10.1371/journal.pbio.2006558
[4] Zhan et al. (2019) Current Biology doi:10.1016/j.cub.2018.11.049
[5] Schyns & Ince (2019) bioRxiv doi:10.1101/658682
[6] Daube et al. (2019) Current Biology doi:10.1016/j.cub.2019.04.067

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CHBH Seminars are free to attend and are open to all, both within and outside the University. Booking is not required.

If you have any questions, please contact Dr Ali Mazaheri (a.mazaheri@bham.ac.uk), Mr Chris Anderson (c.j.anderson@bham.ac.uk) or Dr Emily Loftus (e.l.loftus@bham.ac.uk).