2019

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)

Chen, C. , Hensel, L. B., Duan, Y., Ince, R. , Garrod, O. G.B., Beskow, J., Jack, R. 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, (Accepted for Publication)

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)

Articles

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Conference Proceedings

Chen, C. , Hensel, L. B., Duan, Y., Ince, R. , Garrod, O. G.B., Beskow, J., Jack, R. 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, (Accepted for Publication)

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)