Robin A. A. Ince

26 papers B 3Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Visual Reasoning Benchmark: Evaluating Multimodal LLMs on Classroom-Authentic Visual Problems from Primary Education. CoRR Mohamed Huti, Alasdair Mackintosh, Amy Waldock, Dominic Andrews, Maxime Lelièvre, Moritz Boos, Tobias Murray, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod
2025	J	`jnl`	Benchmarking the Pedagogical Knowledge of Large Language Models. CoRR Maxime Lelièvre, Amy Waldock, Meng Liu, Natalia Valdés Aspillaga, Alasdair Mackintosh, María José Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod
2022	J	`jnl`	Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data. J. Open Source Softw. Etienne Combrisson, Ruggero Basanisi, Vinicius Lima Cordeiro, Robin A. A. Ince, Andrea Brovelli
2022	J	`jnl`	Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data. NeuroImage Etienne Combrisson, Michele Allegra, Ruggero Basanisi, Robin A. A. Ince, Bruno L. Giordano, Julien Bastin, Andrea Brovelli
2022	J	`jnl`	Neurocomputational mechanisms underlying cross-modal associations and their influence on perceptual decisions. NeuroImage Joshua Bolam, Stephanie C. Boyle, Robin A. A. Ince, Ioannis Delis
2021	J	`jnl`	Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity. Patterns Christoph Daube, Tian Xu, Jiayu Zhan, Andrew Webb, Robin A. A. Ince, Oliver G. B. Garrod, Philippe G. Schyns
2020	B	`conf`	Building Culturally-Valid Dynamic Facial Expressions for a Conversational Virtual Agent Using Human Perception. IVA Chaona Chen, Oliver G. B. Garrod, Robin A. A. Ince, Mary Ellen Foster, Philippe G. Schyns, Rachael E. Jack
2020	B	`conf`	Building a Generative Space of Facial Expressions of Emotions Using Psychological Data-driven Methods. IVA Meng Liu, Yaocong Duan, Robin A. A. Ince, Chaona Chen, Oliver G. B. Garrod, Philippe G. Schyns, Rachael E. Jack
2020	J	`jnl`	Disentangling presentation and processing times in the brain. NeuroImage Laurent Caplette, Robin A. A. Ince, Karim Jerbi, Frédéric Gosselin
2020	J	`jnl`	Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals. PLoS Comput. Biol. Etienne Combrisson, Timothy Nest, Andrea Brovelli, Robin A. A. Ince, Juan L. P. Soto, Aymeric Guillot, Karim Jerbi
2019	B	`conf`	Equipping social robots with culturally-sensitive facial expressions of emotion using data-driven methods. FG Chaona Chen, Laura B. Hensel, Yaocong Duan, Robin A. A. Ince, Oliver G. B. Garrod, Jonas Beskow, Rachael E. Jack, Philippe G. Schyns
2018	J	`jnl`	Deeper Interpretability of Deep Networks. CoRR Tian Xu, Jiayu Zhan, Oliver G. B. Garrod, Philip H. S. Torr, Song-Chun Zhu, Robin A. A. Ince, Philippe G. Schyns
2018	J	`jnl`	Exact Partial Information Decompositions for Gaussian Systems Based on Dependency Constraints. Entropy Jim W. Kay, Robin A. A. Ince
2018	J	`jnl`	Exact partial information decompositions for Gaussian systems based on dependency constraints. CoRR James W. Kay, Robin A. A. Ince
2018	—	`conf`	Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network. CVPR Workshops Tian Xu, Oliver G. B. Garrod, H. Steven Scholte, Robin A. A. Ince, Philippe G. Schyns
2017	J	`jnl`	Auditory cortical delta-entrainment interacts with oscillatory power in multiple fronto-parietal networks. NeuroImage Anne Keitel, Robin A. A. Ince, Joachim Gross, Christoph Kayser
2017	J	`jnl`	Measuring Multivariate Redundant Information with Pointwise Common Change in Surprisal. Entropy Robin A. A. Ince
2017	J	`jnl`	Partial and Entropic Information Decompositions of a Neuronal Modulatory Interaction. Entropy Jim W. Kay, Robin A. A. Ince, Benjamin R. Dering, William A. Phillips
2017	J	`jnl`	The Partial Entropy Decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal. CoRR Robin A. A. Ince
2016	J	`jnl`	Measuring multivariate redundant information with pointwise common change in surprisal. CoRR Robin A. A. Ince
2014	—	`ch.`	Applications of Information Theory to Analysis of Neural Data. Encyclopedia of Computational Neuroscience Simon R. Schultz, Robin A. A. Ince, Stefano Panzeri
2014	—	`ch.`	Estimating Information-Theoretic Quantities. Encyclopedia of Computational Neuroscience Robin A. A. Ince, Simon R. Schultz, Stefano Panzeri
2014	—	`ch.`	Summary of Information Theoretic Quantities. Encyclopedia of Computational Neuroscience Robin A. A. Ince, Stefano Panzeri, Simon R. Schultz
2012	J	`jnl`	Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices. PLoS Comput. Biol. Christoph Kayser, Robin A. A. Ince, Stefano Panzeri
2010	J	`jnl`	Information-theoretic methods for studying population codes. Neural Networks Robin A. A. Ince, Riccardo Senatore, Ehsan Arabzadeh, Fernando Montani, Mathew E. Diamond, Stefano Panzeri
2009	J	`jnl`	Python for information theoretic analysis of neural data. Frontiers Neuroinformatics Robin A. A. Ince, Rasmus S. Petersen, Daniel C. Swan, Stefano Panzeri