Dr Robin Ince

Research Fellow (Centre for Cognitive Neuroimaging)

telephone: 01413303947
email: Robin.Ince@glasgow.ac.uk

613 Level 6, 62 Hillhead Street, Glasgow, G12 8QB

ORCID iD https://orcid.org/0000-0001-8427-0507

Research interests

I develop and apply statistical methods for analysing data from behavioural, neuroimaging and electrophysiological experiments. I have a particular interest in practical applications of information theoretic methods.

I am interested in how information theory can let us relate different experimental variables to each other, quantifying redundant or synergistic representational interactions. For example, redundancy quantifies how much information about a stimulus overlaps between two neuroimaging recordings (e.g. different frequency bands, or different regions of the brain), or between a neuroimaging recording the participants behaviour. Synergy quantifies how much information available about the stimulus is available not from either response alone, but only when they are observed simultaneously, i.e. the relationship between them encodes or represents the stimulus. These tools can be combined with methods from machine learning and applied to applications such as multi-modal data fusion, quantifying behaviourally relevant neural representations, and measuring functional connectivity about specific stimulus features (e.g. communication).

RAA Ince, BL Giordano, C Kayser, GA Rousselet, J Gross, PG Schyns
A statistical framework for neuroimaging data analysis based on mutual information estimated via a Gaussian copula
Human Brain Mapping (2017) 38 (3) p. 1541-1573

I am also interested in statistical methods that focus on effects within participants, rather than considering only the population mean as is common in the fields of psychology and neuroimaging.

RAA Ince, JW Kay, PG Schyns
Bayesian inference of population prevalence
bioRxiv (2020)

Publications

List by: Type | Date

Jump to: 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2010 | 2009

Number of items: 36.

2021

Haining, K. , Gajwani, R. , Gross, J. , Gumley, A. I. , Ince, R. A.A. , Lawrie, S. M., Schultze-Lutter, F., Schwannauer, M. and Uhlhaas, P. J. (2021) Characterising cognitive heterogeneity in individuals at clinical high-risk for psychosis: a cluster analysis with clinical and functional outcome prediction. European Archives of Psychiatry and Clinical Neuroscience, (doi: 10.1007/s00406-021-01315-2) (PMID:34401957) (Early Online Publication)

Ince, R. A.A. , Paton, A. T., Kay, J. W. and Schyns, P. G. (2021) Bayesian inference of population prevalence. eLife, (Accepted for Publication)

Zhan, J., Liu, M., Garrod, O. G.B., Daube, C., Ince, R. A.A. , Jack, R. E. and Schyns, P. G. (2021) Modeling individual preferences reveals that face beauty is not universally perceived across cultures. Current Biology, 31(10), 2243-2252.e6. (doi: 10.1016/j.cub.2021.03.013) (PMID:33798430) (PMCID:PMC8162177)

Imperatori, L. S., Cataldi, J., Betta, M., Ricciardi, E., Ince, R. A.A. , Siclari, F. and Bernardi, G. (2021) Cross-participant prediction of vigilance stages through the combined use of wPLI and wSMI EEG functional connectivity metrics. Sleep, 44(5), zsaa247. (doi: 10.1093/sleep/zsaa247) (PMID:33220055)

2020

Combrisson, E., Nest, T., Brovelli, A., Ince, R. A.A. , Soto, J. L.P., Guillot, A. and Jerbi, K. (2020) Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals. PLoS Computational Biology, 16(10), e1008302. (doi: 10.1371/journal.pcbi.1008302) (PMID:33119593) (PMCID:PMC7654762)

Caplette, L., Ince, R. A.A. , Jerbi, K. and Gosselin, F. (2020) Disentangling presentation and processing times in the brain. NeuroImage, 218, 116994. (doi: 10.1016/j.neuroimage.2020.116994) (PMID:32474082)

Destoky, F. et al. (2020) Cortical tracking of speech in noise accounts for reading strategies in children. PLoS Biology, 18(8), e3000840. (doi: 10.1371/journal.pbio.3000840) (PMID:32845876)

Schyns, P. G. , Zhan, J., Jack, R. E. and Ince, R. A.A. (2020) Revealing the information contents of memory within the stimulus information representation framework. Proceedings of the Royal Society of London Series B: Biological Sciences, 375, 20190705. (doi: 10.1098/rstb.2019.0705) (PMID:32248774)

Jaworska, K. , Yi, F., Ince, R. A.A. , Van Rijsbergen, N. J. , Schyns, P. G. and Rousselet, G. A. (2020) Healthy ageing delays the neural processing of face features relevant for behaviour by 40 ms. Human Brain Mapping, 41(5), pp. 1212-1225. (doi: 10.1002/hbm.24869) (PMID:31782861) (PMCID:PMC7268067)

2019

Chen, C. , Hensel, L. B., Duan, Y., Ince, R. , Garrod, O. G.B., Beskow, J., Jack, R. E. and Schyns, P. G. (2019) Equipping Social Robots with Culturally-Sensitive Facial Expressions of Emotion Using Data-Driven Methods. In: 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), Lille, France, 14-18 May 2019, ISBN 9781728100890 (doi:10.1109/FG.2019.8756570)

Daube, C., Ince, R. A.A. and Gross, J. (2019) Simple acoustic features can explain phoneme-based predictions of cortical responses to speech. Current Biology, 29(12), 1924-1937.e9. (doi: 10.1016/j.cub.2019.04.067) (PMID:31130454) (PMCID:PMC6584359)

Zhan, J., Ince, R. A.A. , Van Rijsbergen, N. and Schyns, P. G. (2019) Dynamic construction of reduced representations in the brain for perceptual decision behavior. Current Biology, 29(2), 319-326.e4. (doi: 10.1016/j.cub.2018.11.049) (PMID:30639108) (PMCID:PMC6345582)

2018

Park, H. , Ince, R. A.A. , Schyns, P. G. , Thut, G. and Gross, J. (2018) Representational interactions during audiovisual speech entrainment: Redundancy in left posterior superior temporal gyrus and synergy in left motor cortex. PLoS Biology, 16(8), e2006558. (doi: 10.1371/journal.pbio.2006558) (PMID:30080855) (PMCID:PMC6095613)

Kay, J. W. and Ince, R. A.A. (2018) Exact partial information decompositions for Gaussian systems based on dependency constraints. Entropy, 20(4), 240. (doi: 10.3390/e20040240)

Xu, T., Garrod, O., Scholte, S. H., Ince, R. and Schyns, P. G. (2018) Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops, Salt Lake City, UT, USA, June 18-22, 2018, pp. 2057-2065. ISBN 9781538661000 (doi:10.1109/CVPRW.2018.00266)

2017

Kay, J. , Ince, R. , Dering, B. and Phillips, W. (2017) Partial and entropic information decompositions of a neuronal modulatory interaction. Entropy, 19(11), 560. (doi: 10.3390/e19110560)

Ince, R. A.A. (2017) Measuring multivariate redundant information with pointwise common change in surprisal. Entropy, 19(7), 318. (doi: 10.3390/e19070318)

Giordano, B. L., Ince, R. A.A. , Gross, J. , Schyns, P. G. , Panzeri, S. and Kayser, C. (2017) Contributions of local speech encoding and functional connectivity to audio-visual speech perception. eLife, 6, e24763. (doi: 10.7554/elife.24763) (PMID:28590903) (PMCID:PMC5462535)

Ince, R. A.A. , Giordano, B., Kayser, C., Rousselet, G. A. , Gross, J. and Schyns, P. G. (2017) A statistical framework for neuroimaging data analysis based on mutual information estimated via a Gaussian copula. Human Brain Mapping, 38(3), pp. 1541-1573. (doi: 10.1002/hbm.23471) (PMID:27860095) (PMCID:PMC5324576)

Keitel, A. , Ince, R. A.A. , Gross, J. and Kayser, C. (2017) Auditory cortical delta-entrainment interacts with oscillatory power in multiple fronto-parietal networks. NeuroImage, 147, pp. 32-42. (doi: 10.1016/j.neuroimage.2016.11.062) (PMID:27903440) (PMCID:PMC5315055)

2016

Ince, R. A.A. , Jaworska, K. , Gross, J. , Panzeri, S., Van Rijsbergen, N. J. , Rousselet, G. A. and Schyns, P. G. (2016) The deceptively simple N170 reflects network information processing mechanisms involving visual feature coding and transfer across hemispheres. Cerebral Cortex, 26(11), pp. 4123-4135. (doi: 10.1093/cercor/bhw196) (PMID:27550865) (PMCID:PMC5066825)

2015

Kayser, S. J., Ince, R. A. A. , Gross, J. and Kayser, C. (2015) Irregular speech rate dissociates auditory cortical entrainment, evoked responses, and frontal alpha. Journal of Neuroscience, 35(44), pp. 14691-14701. (doi: 10.1523/JNEUROSCI.2243-15.2015) (PMID:26538641) (PMCID:PMC4635123)

Bale, M. R., Ince, R. A.A. , Santagata, G. and Peterson, R. S. (2015) Efficient population coding of naturalistic whisker motion in the ventro-posterior medial thalamus based on precise spike timing. Frontiers in Neural Circuits, 9, 50. (doi: 10.3389/fncir.2015.00050)

Park, H. , Ince, R. A.A. , Schyns, P. G. , Thut, G. and Gross, J. (2015) Frontal top-down signals increase coupling of auditory low-frequency oscillations to continuous speech in human listeners. Current Biology, 25(12), pp. 1649-1653. (doi: 10.1016/j.cub.2015.04.049) (PMID:26028433) (PMCID:PMC4503802)

Ince, R. A.A. , Van Rijsbergen, N. J. , Thut, G. , Rousselet, G. A. , Gross, J. , Panzeri, S. and Schyns, P. G. (2015) Tracing the flow of perceptual features in an algorithmic brain network. Scientific Reports, 5, 17681. (doi: 10.1038/srep17681) (PMID:26635299) (PMCID:PMC4669501)

2014

Rousselet, G. A. , Ince, R. A.A. , van Rijsbergen, N. J. and Schyns, P. G. (2014) Eye coding mechanisms in early human face event-related potentials. Journal of Vision, 14(13), Art. 7. (doi: 10.1167/14.13.7) (PMID:25385898)

Panzeri, S., Ince, R. A.A. , Diamond, M. E. and Kayser, C. (2014) Reading spike timing without a clock: intrinsic decoding of spike trains. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1637), p. 20120467. (doi: 10.1098/rstb.2012.0467)

2013

Ince, R.A.A. , Panzeri, S. and Kayser, C. (2013) Neural codes formed by small and temporally precise populations in auditory cortex. Journal of Neuroscience, 33(46), pp. 18277-18287. (doi: 10.1523/JNEUROSCI.2631-13.2013)

Bale, M. R., Davies, K., Freeman, O. J., Ince, R. A.A. and Petersen, R. S. (2013) Low-dimensional sensory feature representation by trigeminal primary afferents. Journal of Neuroscience, 33(29), pp. 12003-12012. (doi: 10.1523/JNEUROSCI.0925-13.2013)

2012

Ince, R. A.A. , Mazzoni, A., Bartels, A., Logothetis, N. K. and Panzeri, S. (2012) A novel test to determine the significance of neural selectivity to single and multiple potentially correlated stimulus features. Journal of Neuroscience Methods, 210(1), pp. 49-65. (doi: 10.1016/j.jneumeth.2011.11.013)

Kayser, C., Ince, R. A.A. and Panzeri, S. (2012) Analysis of slow (theta) oscillations as a potential temporal reference frame for information coding in sensory cortices. PLoS Computational Biology, 8(10), e1002717. (doi: 10.1371/journal.pcbi.1002717)

2010

Ince, R. A.A. , Senatore, R., Arabzadeh, E., Montani, F., Diamond, M. E. and Panzeri, S. (2010) Information-theoretic methods for studying population codes. Neural Networks, 23(6), pp. 713-727. (doi: 10.1016/j.neunet.2010.05.008)

Ince, R. A.A. , Mazzoni, A., Petersen, R. S. and Panzeri, S. (2010) Open source tools for the information theoretic analysis of neural data. Frontiers in Neuroscience, 4(1), pp. 62-70. (doi: 10.3389/neuro.01.011.2010)

2009

Montani, F., Ince, R.A.A. , Senatore, R., Arabzadeh, E., Diamond, M.E. and Panzeri, S. (2009) The impact of high-order interactions on the rate of synchronous discharge and information transmission in somatosensory cortex. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367(1901), pp. 3297-3310. (doi: 10.1098/rsta.2009.0082)

Ince, R. A.A. , Montani, F., Arabzadeh, E., Diamond, M. E. and Panzeri, S. (2009) On the presence of high-order interactions among somatosensory neurons and their effect on information transmission. Journal of Physics: Conference Series, 197(1), 012013. (doi: 10.1088/1742-6596/197/1/012013)

Ince, R. A.A. , Petersen, R. S., Swan, D. C. and Panzeri, S. (2009) Python for information theoretic analysis of neural data. Frontiers in Neuroinformatics, 3(Art 4), (doi: 10.3389/neuro.11.004.2009)

This list was generated on Thu Sep 16 22:41:27 2021 BST.

Jump to: Articles | Conference Proceedings

Number of items: 36.

Articles

Ince, R. A.A. , Paton, A. T., Kay, J. W. and Schyns, P. G. (2021) Bayesian inference of population prevalence. eLife, (Accepted for Publication)

Destoky, F. et al. (2020) Cortical tracking of speech in noise accounts for reading strategies in children. PLoS Biology, 18(8), e3000840. (doi: 10.1371/journal.pbio.3000840) (PMID:32845876)

Kay, J. W. and Ince, R. A.A. (2018) Exact partial information decompositions for Gaussian systems based on dependency constraints. Entropy, 20(4), 240. (doi: 10.3390/e20040240)

Kay, J. , Ince, R. , Dering, B. and Phillips, W. (2017) Partial and entropic information decompositions of a neuronal modulatory interaction. Entropy, 19(11), 560. (doi: 10.3390/e19110560)

Ince, R. A.A. (2017) Measuring multivariate redundant information with pointwise common change in surprisal. Entropy, 19(7), 318. (doi: 10.3390/e19070318)

Conference Proceedings

This list was generated on Thu Sep 16 22:41:27 2021 BST.

Grants

Grants and Awards listed are those received whilst working with the University of Glasgow.

State of the art MEG-TRIUX-neo for advancing multi-modal neuroimaging techniques in Scotland
Wellcome Trust
2020 - 2025
Beyond Pairwise Connectivity: developing an information theoretic hypergraph methodology for multi-modal resting state neuroimaging analysis
Wellcome Trust
2019 - 2021

Supervision

Supervised Postgraduate Students

Emra Baker (Postgraduate)
Gina Brunner (Postgraduate)
Xuan Cui (Postgraduate)
Christoph Daube (Postgraduate)
Yaocong Duan (Non Ψ Postgraduate)
Edyta Koper (Postgraduate)
Greta Mohr (Postgraduate)
Haonan Niu (Postgraduate)

Research Assistants

Christoph Daube (Research Assistant)
Angus Paton (Research Assistant)

Visiting Collaborators

Bruno Giordano (External Collaborator)
Laura Imperatori (Visiting Researcher)

Supervisors

Philippe G. Schyns

Institute of Neuroscience & Psychology