Peggy Seriès

According to our database, Peggy Seriès authored at least 17 papers between 1999 and 2023.

Collaborative distances:

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

2023

Designing Optimal Behavioral Experiments Using Machine Learning.

Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas

CoRR, 2023

2021

No increased circular inference in adults with high levels of autistic traits or autism.

Nikitas Angeletos Chrysaitis, Renaud Jardri, Sophie Denève, Peggy Seriès

PLoS Comput. Biol., 2021

2015

The influence of population size, noise strength and behavioral task on best-encoded stimulus for neurons with unimodal or monotonic tuning curves.

Stuart Yarrow, Peggy Seriès

Frontiers Comput. Neurosci., 2015

2014

Reward-Based Learning, Model-Based and Model-Free.

Quentin J. M. Huys, Anthony Cruickshank, Peggy Seriès

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Optimism as a Prior Belief about the Probability of Future Reward.

Aistis Stankevicius, Quentin J. M. Huys, Aditi Kalra, Peggy Seriès

PLoS Comput. Biol., 2014

Self-Organized Artificial Grammar Learning in Spiking Neural Networks.

Renato Carlos Farinha Duarte, Peggy Seriès, Abigail Morrison

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?

David P. Reichert, Peggy Seriès, Amos J. Storkey

PLoS Comput. Biol., 2013

Attention as Reward-Driven Optimization of Sensory Processing.

Matthew Chalk, Iain Murray, Peggy Seriès

Neural Comput., 2013

2012

Fisher and Shannon Information in Finite Neural Populations.

Stuart Yarrow, Edward Challis, Peggy Seriès

Neural Comput., 2012

The effect of neural adaptation on population coding accuracy.

Jesús M. Cortés, Daniele Marinazzo, Peggy Seriès, Mike W. Oram, Terrence J. Sejnowski, Mark C. W. van Rossum

J. Comput. Neurosci., 2012

2011

Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability.

David P. Reichert, Peggy Seriès, Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex.

David P. Reichert, Peggy Seriès, Amos J. Storkey

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model.

David P. Reichert, Peggy Seriès, Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Is the Homunculus "Aware" of Sensory Adaptation?

Peggy Seriès, Alan A. Stocker, Eero P. Simoncelli

Neural Comput., 2009

2008

Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks.

Arunava Banerjee, Peggy Seriès, Alexandre Pouget

Neural Comput., 2008

2001

A network view of the structure of center/surround modulations of V1 receptive field properties in visual and cortical spaces.

Peggy Seriès, Sébastien Georges, Jean Lorenceau, Yves Frégnac

Neurocomputing, 2001

1999

Synchrony and delay activity in cortical column models.

Peggy Seriès, Philippe Tarroux

Neurocomputing, 1999