William A. Phillips

Publication Activity (10 Years)

Years Active: 1991-2022
Publications (10 Years): 7

Top Topics

Partial Information

Computational Model

Bayesian Learning

Top Venues

Publications

Jim Kay, Jan M. Schulz, William A. Phillips
A Comparison of Partial Information Decompositions Using Data from Real and Simulated Layer 5b Pyramidal Cells. Entropy 24 (8) (2022)
Jan-Rouke Kuipers, William A. Phillips
Variations in Pupil Size Related to Memory for Recently Presented Words and Event Related Potentials. J. Cogn. Neurosci. 34 (7) (2022)
Jim W. Kay, Jan M. Schulz, William A. Phillips
A comparison of partial information decompositions using data from real and simulated layer 5b pyramidal cells. CoRR (2022)
Jim W. Kay, William A. Phillips
Contextual Modulation in Mammalian Neocortex is Asymmetric. Symmetry 12 (5) (2020)
Tuomo Mäki-Marttunen, Anna Devor, William A. Phillips, Anders M. Dale, Ole A. Andreassen, Gaute T. Einevoll
Computational Modeling of Genetic Contributions to Excitability and Neural Coding in Layer V Pyramidal Cells: Applications to Schizophrenia Pathology. Frontiers Comput. Neurosci. 13 (2019)
Jim W. Kay, William A. Phillips
Contrasting information theoretic decompositions of modulatory and arithmetic interactions in neural information processing systems. CoRR (2018)
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)
Michael Wibral, Viola Priesemann, Jim W. Kay, Joseph T. Lizier, William A. Phillips
Partial Information Decomposition as a Unified Approach to the Specification of Neural Goal Functions. CoRR (2015)
Johan Kwisthout, Iris van Rooij, Matteo Colombo, Carlos Zednik, William A. Phillips
Constraints on Bayesian Explanation. CogSci (2013)
William A. Phillips
Self-Organized Complexity and Coherent Infomax from the Viewpoint of Jaynes's Probability Theory. Inf. 3 (1) (2012)
Jim Kay, Dario Floreano, William A. Phillips
Contextually guided unsupervised learning using local multivariate binary processors. Neural Networks 11 (1) (1998)
Jim Kay, William A. Phillips
Activation Functions, Computational Goals and Learning Rules for Local Processors with Contextual Guidance. Neural Comput. 9 (4) (1997)
Peter J. B. Hancock, Leslie S. Smith, William A. Phillips
A Biologically Supported Error-Correcting Learning Rule. Neural Comput. 3 (2) (1991)