Conor J. Houghton

According to our database, Conor J. Houghton authored at least 32 papers between 2008 and 2026.

Collaborative distances:

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

2026

Image, Word and Thought: A More Challenging Language Task for the Iterated Learning Model.

Hyoyeon Lee, Seth Bullock, Conor J. Houghton

CoRR, January, 2026

2025

Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations.

Lucy Farnik, Tim Lawson, Conor J. Houghton, Laurence Aitchison

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Residual Stream Analysis with Multi-Layer SAEs.

Tim Lawson, Lucy Farnik, Conor J. Houghton, Laurence Aitchison

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can LLMs be used to Quantify the Emotional Salience of Text Statements using an Elo Rating System?

Kimberley Beaumont, Martin Oravec, Harry Emerson, Ian Penton-Voak, Conor J. Houghton

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing.

Andrew Shannon, Conor J. Houghton, David Barton, Martin Homer

CoRR, 2024

Investigating the Timescales of Language Processing with EEG and Language Models.

Davide Turco, Conor J. Houghton

CoRR, 2024

Modeling language contact with the Iterated Learning Model.

Seth Bullock, Conor J. Houghton

CoRR, 2024

An iterated learning model of language change that mixes supervised and unsupervised learning.

Jack Bunyan, Seth Bullock, Conor J. Houghton

CoRR, 2024

Nearest-Neighbours Estimators for Conditional Mutual Information.

Jake Witter, Conor J. Houghton

CoRR, 2024

Topological and Simplicial Features in Reservoir Computing Networks.

James McAllister, John Wade, Conor J. Houghton, Cian O'Donnell

Proceedings of the Advances in Computational Intelligence Systems, 2024

Investigating grammatical abstraction in language models using few-shot learning of novel noun gender.

Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Estimating Mutual Information for Spike Trains: A Bird Song Example.

Jake Witter, Conor J. Houghton

Entropy, October, 2023

An Ising-like model for language evolution.

Conor J. Houghton

CoRR, 2023

Spatial community structure impedes language amalgamation in a population-based iterated learning model.

George Sains, Conor J. Houghton, Seth Bullock

CoRR, 2023

Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics.

Conor J. Houghton, Nina Kazanina, Priyanka Sukumaran

CoRR, 2023

Social Value Orientation and Integral Emotions in Multi-Agent Systems.

Daniel E. Collins, Conor J. Houghton, Nirav Ajmeri

Proceedings of the Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVI, 2023

2022

Corrigendum: A scalar poincaré map for anti-phase bursting in coupled inhibitory neurons with synaptic depression.

Mark Olenik, Conor J. Houghton

Frontiers Appl. Math. Stat., 2022

A Scalar Poincaré Map for Anti-phase Bursting in Coupled Inhibitory Neurons With Synaptic Depression.

Mark Olenik, Conor J. Houghton

Frontiers Appl. Math. Stat., 2022

Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules.

Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina

CoRR, 2022

Bayesian Modeling of Language-Evoked Event-Related Potentials.

Davide Turco, Conor J. Houghton

CoRR, 2022

2021

A note on the unbiased estimation of mutual information.

Jake Witter, Conor J. Houghton

CoRR, 2021

2019

Calculating the Mutual Information between Two Spike Trains.

Conor J. Houghton

Neural Comput., 2019

Adaptive Estimators Show Information Compression in Deep Neural Networks.

Ivan Chelombiev, Conor J. Houghton, Cian O'Donnell

Proceedings of the 7th International Conference on Learning Representations, 2019

2015

Parameter estimation of neuron models using in-vitro and in-vivo electrophysiological data.

Eoin P. Lynch, Conor J. Houghton

Frontiers Neuroinformatics, 2015

2014

Metric Space Analysis of Neural Information Flow.

Conor J. Houghton

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

Population measures of spike train synchrony.

Conor J. Houghton

Scholarpedia, 2013

A Kernel-Based Calculation of Information on a Metric Space.

R. Joshua Tobin, Conor J. Houghton

Entropy, 2013

2012

Monitoring spike train synchrony

Thomas Kreuz, Daniel Chicharro, Conor J. Houghton, Ralph G. Andrzejak, Florian Mormann

CoRR, 2012

2011

A metric space approach to the information channel capacity of spike trains.

James B. Gillespie, Conor J. Houghton

J. Comput. Neurosci., 2011

2009

A New Hypothesis for Sleep: Tuning for Criticality.

Barak A. Pearlmutter, Conor J. Houghton

Neural Comput., 2009

Studying spike trains using a van Rossum metric with a synapse-like filter.

Conor J. Houghton

J. Comput. Neurosci., 2009

2008

A New Multineuron Spike Train Metric.

Conor J. Houghton, Kamal Sen

Neural Comput., 2008