Conor J. Houghton

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Mutual Information

Supervised And Unsupervised Learning

Top Venues

Frontiers Appl. Math. Stat.

Frontiers Neuroinformatics

Publications

Davide Turco, Conor J. Houghton
Investigating the Timescales of Language Processing with EEG and Language Models. CoRR (2024)
Jack Bunyan, Seth Bullock, Conor J. Houghton
An iterated learning model of language change that mixes supervised and unsupervised learning. CoRR (2024)
Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina
Investigating grammatical abstraction in language models using few-shot learning of novel noun gender. CoRR (2024)
Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina
Investigating grammatical abstraction in language models using few-shot learning of novel noun gender. EACL (Findings) (2024)
Seth Bullock, Conor J. Houghton
Modeling language contact with the Iterated Learning Model. CoRR (2024)
Jake Witter, Conor J. Houghton
Nearest-Neighbours Estimators for Conditional Mutual Information. CoRR (2024)
Jake Witter, Conor J. Houghton
Estimating mutual information for spike trains: a bird song example. CoRR (2023)
Conor J. Houghton
An Ising-like model for language evolution. CoRR (2023)
George Sains, Conor J. Houghton, Seth Bullock
Spatial community structure impedes language amalgamation in a population-based iterated learning model. CoRR (2023)
Daniel E. Collins, Conor J. Houghton, Nirav Ajmeri
Social Value Orientation and Integral Emotions in Multi-Agent Systems. COINE (2023)
Daniel E. Collins, Conor J. Houghton, Nirav Ajmeri
Social Value Orientation and Integral Emotions in Multi-Agent Systems. CoRR (2023)
Jake Witter, Conor J. Houghton
Estimating Mutual Information for Spike Trains: A Bird Song Example. Entropy 25 (10) (2023)
Mark Olenik, Conor J. Houghton
Corrigendum: A scalar poincaré map for anti-phase bursting in coupled inhibitory neurons with synaptic depression. Frontiers Appl. Math. Stat. 8 (2022)
Mark Olenik, Conor J. Houghton
A Scalar Poincaré Map for Anti-phase Bursting in Coupled Inhibitory Neurons With Synaptic Depression. Frontiers Appl. Math. Stat. 8 (2022)
Davide Turco, Conor J. Houghton
Bayesian Modeling of Language-Evoked Event-Related Potentials. CoRR (2022)
Jake Witter, Conor J. Houghton
A note on the unbiased estimation of mutual information. CoRR (2021)
Conor J. Houghton
Calculating the Mutual Information between Two Spike Trains. Neural Comput. 31 (2) (2019)
Ivan Chelombiev, Conor J. Houghton, Cian O'Donnell
Adaptive Estimators Show Information Compression in Deep Neural Networks. CoRR (2019)
Ivan Chelombiev, Conor J. Houghton, Cian O'Donnell
Adaptive Estimators Show Information Compression in Deep Neural Networks. ICLR (Poster) (2019)
Eoin P. Lynch, Conor J. Houghton
Parameter estimation of neuron models using in-vitro and in-vivo electrophysiological data. Frontiers Neuroinformatics 9 (2014)
R. Joshua Tobin, Conor J. Houghton
A Kernel-Based Calculation of Information on a Metric Space. CoRR (2014)
R. Joshua Tobin, Conor J. Houghton
A Kernel-Based Calculation of Information on a Metric Space. Entropy 15 (10) (2013)
Conor J. Houghton
Population measures of spike train synchrony. Scholarpedia 8 (10) (2013)
Thomas Kreuz, Daniel Chicharro, Conor J. Houghton, Ralph G. Andrzejak, Florian Mormann
Monitoring spike train synchrony CoRR (2012)
James B. Gillespie, Conor J. Houghton
A metric space approach to the information channel capacity of spike trains. J. Comput. Neurosci. 30 (1) (2011)
Conor J. Houghton
Studying spike trains using a van Rossum metric with a synapse-like filter. J. Comput. Neurosci. 26 (1) (2009)
Barak A. Pearlmutter, Conor J. Houghton
A New Hypothesis for Sleep: Tuning for Criticality. Neural Comput. 21 (6) (2009)
Conor J. Houghton, Kamal Sen
A New Multineuron Spike Train Metric. Neural Comput. 20 (6) (2008)