Robin A. A. Ince

According to our database1, Robin A. A. Ince authored at least 23 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data.
J. Open Source Softw., November, 2022

Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data.
NeuroImage, 2022

Neurocomputational mechanisms underlying cross-modal associations and their influence on perceptual decisions.
NeuroImage, 2022

Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity.
Patterns, 2021

Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals.
PLoS Comput. Biol., 2020

Disentangling presentation and processing times in the brain.
NeuroImage, 2020

Building a Generative Space of Facial Expressions of Emotions Using Psychological Data-driven Methods.
Proceedings of the IVA '20: ACM International Conference on Intelligent Virtual Agents, 2020

Building Culturally-Valid Dynamic Facial Expressions for a Conversational Virtual Agent Using Human Perception.
Proceedings of the IVA '20: ACM International Conference on Intelligent Virtual Agents, 2020

Equipping social robots with culturally-sensitive facial expressions of emotion using data-driven methods.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Exact Partial Information Decompositions for Gaussian Systems Based on Dependency Constraints.
Entropy, 2018

Deeper Interpretability of Deep Networks.
CoRR, 2018

Exact partial information decompositions for Gaussian systems based on dependency constraints.
CoRR, 2018

Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Auditory cortical delta-entrainment interacts with oscillatory power in multiple fronto-parietal networks.
NeuroImage, 2017

Partial and Entropic Information Decompositions of a Neuronal Modulatory Interaction.
Entropy, 2017

Measuring Multivariate Redundant Information with Pointwise Common Change in Surprisal.
Entropy, 2017

The Partial Entropy Decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal.
CoRR, 2017

Applications of Information Theory to Analysis of Neural Data.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Estimating Information-Theoretic Quantities.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Summary of Information Theoretic Quantities.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices.
PLoS Comput. Biol., 2012

Information-theoretic methods for studying population codes.
Neural Networks, 2010

Python for information theoretic analysis of neural data.
Frontiers Neuroinformatics, 2009