Number of items: 31.
2020
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 17 01:44:03 2020 BST.