Conor J. Houghton

According to our database, Conor J. Houghton authored at least 26 papers between 2008 and 2024.

Collaborative distances:

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

2024

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., 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

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

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