Robin A. A. Ince

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 18

Top Topics

Polynomial Approximation

Human Perception

Partial Information

Top Venues

Publications

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 (2022)
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) (2022)
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 (2022)
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) (2021)
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)
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)
Laurent Caplette, Robin A. A. Ince, Karim Jerbi, Frédéric Gosselin
Disentangling presentation and processing times in the brain. NeuroImage 218 (2020)
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)
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)
James W. Kay, Robin A. A. Ince
Exact partial information decompositions for Gaussian systems based on dependency constraints. CoRR (2018)
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 (2018)
Jim W. Kay, Robin A. A. Ince
Exact Partial Information Decompositions for Gaussian Systems Based on Dependency Constraints. Entropy 20 (4) (2018)
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)
Robin A. A. Ince
The Partial Entropy Decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal. CoRR (2017)
Robin A. A. Ince
Measuring Multivariate Redundant Information with Pointwise Common Change in Surprisal. Entropy 19 (7) (2017)
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 (2017)
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) (2017)
Robin A. A. Ince
Measuring multivariate redundant information with pointwise common change in surprisal. CoRR (2016)
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)
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) (2010)
Robin A. A. Ince, Rasmus S. Petersen, Daniel C. Swan, Stefano Panzeri
Python for information theoretic analysis of neural data. Frontiers Neuroinformatics 3 (2009)