Conor J. Houghton

40 papers A* 2C 1Journal 32Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Image, Word and Thought: A More Challenging Language Task for the Iterated Learning Model. CoRR Hyoyeon Lee, Seth Bullock, Conor J. Houghton
2025	—	`conf`	Can LLMs be used to Quantify the Emotional Salience of Text Statements using an Elo Rating System? CHI Extended Abstracts Kimberley Beaumont, Martin Oravec, Harry Emerson, Ian Penton-Voak, Conor J. Houghton
2025	A*	`conf`	Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations. ICML Lucy Farnik, Tim Lawson, Conor J. Houghton, Laurence Aitchison
2025	J	`jnl`	Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations. CoRR Lucy Farnik, Tim Lawson, Conor J. Houghton, Laurence Aitchison
2025	A*	`conf`	Residual Stream Analysis with Multi-Layer SAEs. ICLR Tim Lawson, Lucy Farnik, Conor J. Houghton, Laurence Aitchison
2024	J	`jnl`	An iterated learning model of language change that mixes supervised and unsupervised learning. CoRR Jack Bunyan, Seth Bullock, Conor J. Houghton
2024	J	`jnl`	Corrigendum: A scalar Poincaré map for anti-phase bursting in coupled inhibitory neurons with synaptic depression. Frontiers Appl. Math. Stat. Mark Olenik, Conor J. Houghton
2024	—	`conf`	Investigating grammatical abstraction in language models using few-shot learning of novel noun gender. EACL (Findings) Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina
2024	J	`jnl`	Investigating grammatical abstraction in language models using few-shot learning of novel noun gender. CoRR Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina
2024	J	`jnl`	Investigating the Timescales of Language Processing with EEG and Language Models. CoRR Davide Turco, Conor J. Houghton
2024	J	`jnl`	Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing. CoRR Andrew Shannon, Conor J. Houghton, David Barton, Martin Homer
2024	J	`jnl`	Modeling language contact with the Iterated Learning Model. CoRR Seth Bullock, Conor J. Houghton
2024	J	`jnl`	Nearest-Neighbours Estimators for Conditional Mutual Information. CoRR Jake Witter, Conor J. Houghton
2024	J	`jnl`	Residual Stream Analysis with Multi-Layer SAEs. CoRR Tim Lawson, Lucy Farnik, Conor J. Houghton, Laurence Aitchison
2024	—	`conf`	Topological and Simplicial Features in Reservoir Computing Networks. UKCI James McAllister, John Wade, Conor J. Houghton, Cian O'Donnell
2023	J	`jnl`	An Ising-like model for language evolution. CoRR Conor J. Houghton
2023	J	`jnl`	Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics. CoRR Conor J. Houghton, Nina Kazanina, Priyanka Sukumaran
2023	J	`jnl`	Estimating Mutual Information for Spike Trains: A Bird Song Example. Entropy Jake Witter, Conor J. Houghton
2023	J	`jnl`	Estimating mutual information for spike trains: a bird song example. CoRR Jake Witter, Conor J. Houghton
2023	C	`conf`	Social Value Orientation and Integral Emotions in Multi-Agent Systems. COINE Daniel E. Collins, Conor J. Houghton, Nirav Ajmeri
2023	J	`jnl`	Social Value Orientation and Integral Emotions in Multi-Agent Systems. CoRR Daniel E. Collins, Conor J. Houghton, Nirav Ajmeri
2023	J	`jnl`	Spatial community structure impedes language amalgamation in a population-based iterated learning model. CoRR George Sains, Conor J. Houghton, Seth Bullock
2022	J	`jnl`	A Scalar Poincaré Map for Anti-phase Bursting in Coupled Inhibitory Neurons With Synaptic Depression. Frontiers Appl. Math. Stat. Mark Olenik, Conor J. Houghton
2022	J	`jnl`	Bayesian Modeling of Language-Evoked Event-Related Potentials. CoRR Davide Turco, Conor J. Houghton
2022	J	`jnl`	Corrigendum: A scalar poincaré map for anti-phase bursting in coupled inhibitory neurons with synaptic depression. Frontiers Appl. Math. Stat. Mark Olenik, Conor J. Houghton
2022	J	`jnl`	Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules. CoRR Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina
2021	J	`jnl`	A note on the unbiased estimation of mutual information. CoRR Jake Witter, Conor J. Houghton
2019	—	`conf`	Adaptive Estimators Show Information Compression in Deep Neural Networks. ICLR (Poster) Ivan Chelombiev, Conor J. Houghton, Cian O'Donnell
2019	J	`jnl`	Adaptive Estimators Show Information Compression in Deep Neural Networks. CoRR Ivan Chelombiev, Conor J. Houghton, Cian O'Donnell
2019	J	`jnl`	Calculating the Mutual Information between Two Spike Trains. Neural Comput. Conor J. Houghton
2015	J	`jnl`	Parameter estimation of neuron models using in-vitro and in-vivo electrophysiological data. Frontiers Neuroinformatics Eoin P. Lynch, Conor J. Houghton
2014	J	`jnl`	A Kernel-Based Calculation of Information on a Metric Space. CoRR R. Joshua Tobin, Conor J. Houghton
2014	—	`ch.`	Metric Space Analysis of Neural Information Flow. Encyclopedia of Computational Neuroscience Conor J. Houghton
2013	J	`jnl`	A Kernel-Based Calculation of Information on a Metric Space. Entropy R. Joshua Tobin, Conor J. Houghton
2013	J	`jnl`	Population measures of spike train synchrony. Scholarpedia Conor J. Houghton
2012	J	`jnl`	Monitoring spike train synchrony CoRR Thomas Kreuz, Daniel Chicharro, Conor J. Houghton, Ralph G. Andrzejak, Florian Mormann
2011	J	`jnl`	A metric space approach to the information channel capacity of spike trains. J. Comput. Neurosci. James B. Gillespie, Conor J. Houghton
2009	J	`jnl`	A New Hypothesis for Sleep: Tuning for Criticality. Neural Comput. Barak A. Pearlmutter, Conor J. Houghton
2009	J	`jnl`	Studying spike trains using a van Rossum metric with a synapse-like filter. J. Comput. Neurosci. Conor J. Houghton
2008	J	`jnl`	A New Multineuron Spike Train Metric. Neural Comput. Conor J. Houghton, Kamal Sen