James V. Stone

According to our database, James V. Stone authored at least 19 papers between 1990 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Methods for Estimating Neural Information.

James V. Stone

CoRR, 2023

2021

Using Information Theory to Measure Psychophysical Performance.

James V. Stone

CoRR, 2021

2019

Climbing Mount AI.

James V. Stone

Nat. Mach. Intell., 2019

2018

Information Theory: A Tutorial Introduction.

James V. Stone

CoRR, 2018

2015

A Self-Organising Model of Thermoregulatory Huddling.

Jonathan Glancy, Roderich Groß, James V. Stone, Stuart P. Wilson

PLoS Comput. Biol., 2015

2008

Falling towards Forgetfulness: Synaptic Decay Prevents Spontaneous Recovery of Memory.

James V. Stone, Peter E. Jupp

PLoS Comput. Biol., 2008

2007

Distributed Representations Accelerate Evolution of Adaptive Behaviours.

James V. Stone

PLoS Comput. Biol., 2007

Free-Lunch Learning: Modeling Spontaneous Recovery of Memory.

James V. Stone, Peter E. Jupp

Neural Comput., 2007

2002

Spatiotemporal Independent Component Analysis of Event-Related fMRI Data Using Skewed Probability Density Functions.

James V. Stone, J. Porrill, N. R. Porter, Iain D. Wilkinson

NeuroImage, 2002

Blind deconvolution using temporal predictability.

James V. Stone

Neurocomputing, 2002

2001

Blind Source Separation Using Temporal Predictability.

James V. Stone

Neural Comput., 2001

1996

Learning Perceptually Salient Visual Parameters Using Spatiotemporal Smoothness Constraints.

James V. Stone

Neural Comput., 1996

Unicycling Helps Your French: Spontaneous Recovery of Associations by Learning Unrelated Tasks.

Inman Harvey, James V. Stone

Neural Comput., 1996

1995

Adaptive Scale Filtering: A General Method for Obtaining Shape From Texture.

James V. Stone, Stephen D. Isard

IEEE Trans. Pattern Anal. Mach. Intell., 1995

A Learning Rule for Extracting Temporal Invariances.

James V. Stone, Alistair J. Bray

Proceedings of the From Natural to Artificial Neural Computation, 1995

An empirical study of the time complexity of various error functions with conjugate gradient backpropagation.

Raymond Lister, James V. Stone

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

Learning Spatio-Temporal Invariances.

James V. Stone

Proceedings of the British Machine Vision Conference, 1994

1992

The Adaptive Bisector Method: Separating Slant and Tilt in Estimating Shape from Texture.

James V. Stone

Proceedings of the British Machine Vision Conference, 1992

1990

Shape from texture: textural invariance and the problem of scale in perspective images of textured surfaces.

James V. Stone

Proceedings of the British Machine Vision Conference, 1990