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Conor J. Houghton

Affiliations:
  • University of Bristol, Computational Neuroscience Unit, UK
  • Trinity College Dublin, School of Mathematics, Ireland


According to our database1, Conor J. Houghton authored at least 21 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2023
Estimating mutual information for spike trains: a bird song example.
[BibTeX]
[DOI]
Jake Witter
,
Conor J. Houghton
CoRR, 2023

An Ising-like model for language evolution.
[BibTeX]
[DOI]
Conor J. Houghton
CoRR, 2023

Spatial community structure impedes language amalgamation in a population-based iterated learning model.
[BibTeX]
[DOI]
George Sains
,
Conor J. Houghton
,
Seth Bullock
CoRR, 2023

Social Value Orientation and Integral Emotions in Multi-Agent Systems.
[BibTeX]
[DOI]
Daniel E. Collins
,
Conor J. Houghton
,
Nirav Ajmeri
CoRR, 2023

Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics.
[BibTeX]
[DOI]
Conor J. Houghton
,
Nina Kazanina
,
Priyanka Sukumaran
CoRR, 2023

2022
Corrigendum: A scalar poincaré map for anti-phase bursting in coupled inhibitory neurons with synaptic depression.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Mark Olenik
,
Conor J. Houghton
Frontiers Appl. Math. Stat., 2022

Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules.
[BibTeX]
[DOI]
Priyanka Sukumaran
,
Conor J. Houghton
,
Nina Kazanina
CoRR, 2022

Bayesian Modeling of Language-Evoked Event-Related Potentials.
[BibTeX]
[DOI]
Davide Turco
,
Conor J. Houghton
CoRR, 2022

2021
A note on the unbiased estimation of mutual information.
[BibTeX]
[DOI]
Jake Witter
,
Conor J. Houghton
CoRR, 2021

2019
Calculating the Mutual Information between Two Spike Trains.
[BibTeX]
[DOI]
Conor J. Houghton
Neural Comput., 2019

Adaptive Estimators Show Information Compression in Deep Neural Networks.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Eoin P. Lynch
,
Conor J. Houghton
Frontiers Neuroinformatics, 2015

2014
Metric Space Analysis of Neural Information Flow.
[BibTeX]
[DOI]
Conor J. Houghton
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013
Population measures of spike train synchrony.
[BibTeX]
[DOI]
Conor J. Houghton
Scholarpedia, 2013

A Kernel-Based Calculation of Information on a Metric Space.
[BibTeX]
[DOI]
R. Joshua Tobin
,
Conor J. Houghton
Entropy, 2013

2012
Monitoring spike train synchrony
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
James B. Gillespie
,
Conor J. Houghton
J. Comput. Neurosci., 2011

2009
A New Hypothesis for Sleep: Tuning for Criticality.
[BibTeX]
[DOI]
Barak A. Pearlmutter
,
Conor J. Houghton
Neural Comput., 2009

Studying spike trains using a van Rossum metric with a synapse-like filter.
[BibTeX]
[DOI]
Conor J. Houghton
J. Comput. Neurosci., 2009

2008
A New Multineuron Spike Train Metric.
[BibTeX]
[DOI]
Conor J. Houghton
,
Kamal Sen
Neural Comput., 2008


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