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2020 – today
- 2022
[j13]Etienne Combrisson
, Ruggero Basanisi, Vinicius Lima Cordeiro, Robin A. A. Ince, Andrea Brovelli:
Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data. J. Open Source Softw. 7(79): 3842 (2022)- [j12]Joshua Bolam, Stephanie C. Boyle, Robin A. A. Ince, Ioannis Delis:
Neurocomputational mechanisms underlying cross-modal associations and their influence on perceptual decisions. NeuroImage 247: 118841 (2022) - [j11]Etienne Combrisson, Michele Allegra, Ruggero Basanisi, Robin A. A. Ince, Bruno L. Giordano, Julien Bastin, Andrea Brovelli:
Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data. NeuroImage 258: 119347 (2022) - 2021
- [j10]Christoph Daube, Tian Xu, Jiayu Zhan, Andrew Webb, Robin A. A. Ince, Oliver G. B. Garrod, Philippe G. Schyns:
Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity. Patterns 2(10): 100348 (2021) - 2020
- [j9]Laurent Caplette, Robin A. A. Ince, Karim Jerbi, Frédéric Gosselin:
Disentangling presentation and processing times in the brain. NeuroImage 218: 116994 (2020) - [j8]Etienne Combrisson, Timothy Nest, Andrea Brovelli, Robin A. A. Ince, Juan L. P. Soto, Aymeric Guillot, Karim Jerbi:
Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals. PLoS Comput. Biol. 16(10) (2020) - [c4]Chaona Chen, Oliver G. B. Garrod, Robin A. A. Ince, Mary Ellen Foster, Philippe G. Schyns, Rachael E. Jack:
Building Culturally-Valid Dynamic Facial Expressions for a Conversational Virtual Agent Using Human Perception. IVA 2020: 14:1-14:3 - [c3]Meng Liu, Yaocong Duan, Robin A. A. Ince, Chaona Chen, Oliver G. B. Garrod, Philippe G. Schyns, Rachael E. Jack:
Building a Generative Space of Facial Expressions of Emotions Using Psychological Data-driven Methods. IVA 2020: 37:1-37:3
2010 – 2019
- 2019
- [c2]Chaona Chen, Laura B. Hensel, Yaocong Duan, Robin A. A. Ince, Oliver G. B. Garrod, Jonas Beskow, Rachael E. Jack, Philippe G. Schyns:
Equipping social robots with culturally-sensitive facial expressions of emotion using data-driven methods. FG 2019: 1-8 - 2018
- [j7]Jim W. Kay, Robin A. A. Ince:
Exact Partial Information Decompositions for Gaussian Systems Based on Dependency Constraints. Entropy 20(4): 240 (2018) - [c1]Tian Xu, Oliver G. B. Garrod, H. Steven Scholte, Robin A. A. Ince, Philippe G. Schyns:
Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network. CVPR Workshops 2018: 1976-1984 - [i4]James W. Kay, Robin A. A. Ince:
Exact partial information decompositions for Gaussian systems based on dependency constraints. CoRR abs/1803.02030 (2018) - [i3]Tian Xu, Jiayu Zhan, Oliver G. B. Garrod, Philip H. S. Torr, Song-Chun Zhu, Robin A. A. Ince, Philippe G. Schyns:
Deeper Interpretability of Deep Networks. CoRR abs/1811.07807 (2018) - 2017
- [j6]Robin A. A. Ince:
Measuring Multivariate Redundant Information with Pointwise Common Change in Surprisal. Entropy 19(7): 318 (2017) - [j5]Jim W. Kay, Robin A. A. Ince, Benjamin R. Dering, William A. Phillips:
Partial and Entropic Information Decompositions of a Neuronal Modulatory Interaction. Entropy 19(11): 560 (2017) - [j4]Anne Keitel, Robin A. A. Ince, Joachim Gross, Christoph Kayser:
Auditory cortical delta-entrainment interacts with oscillatory power in multiple fronto-parietal networks. NeuroImage 147: 32-42 (2017) - [i2]Robin A. A. Ince:
The Partial Entropy Decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal. CoRR abs/1702.01591 (2017) - 2016
- [i1]Robin A. A. Ince:
Measuring multivariate redundant information with pointwise common change in surprisal. CoRR abs/1602.05063 (2016) - 2014
- [r3]Robin A. A. Ince, Stefano Panzeri, Simon R. Schultz:
Summary of Information Theoretic Quantities. Encyclopedia of Computational Neuroscience 2014 - [r2]Robin A. A. Ince, Simon R. Schultz, Stefano Panzeri:
Estimating Information-Theoretic Quantities. Encyclopedia of Computational Neuroscience 2014 - [r1]Simon R. Schultz, Robin A. A. Ince, Stefano Panzeri:
Applications of Information Theory to Analysis of Neural Data. Encyclopedia of Computational Neuroscience 2014 - 2012
- [j3]Christoph Kayser, Robin A. A. Ince, Stefano Panzeri:
Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices. PLoS Comput. Biol. 8(10) (2012) - 2010
- [j2]Robin A. A. Ince, Riccardo Senatore, Ehsan Arabzadeh, Fernando Montani, Mathew E. Diamond, Stefano Panzeri:
Information-theoretic methods for studying population codes. Neural Networks 23(6): 713-727 (2010)
2000 – 2009
- 2009
- [j1]Robin A. A. Ince, Rasmus S. Petersen, Daniel C. Swan, Stefano Panzeri:
Python for information theoretic analysis of neural data. Frontiers Neuroinformatics 3: 4 (2009)
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