Scholar
Conor J Houghton
Google Scholar ID: VoP4kDQAAAAJ
University of Bristol
Citations & Impact
Citations
719
H-index
15
i10-index
20
Publications
20
Co-authors
0
Contact
Resume
Academic Achievements
- Published multiple papers, covering areas such as neural network models, language processing, and cooperative evolution. Specific works include:
- - Next-generation neural mass models reproduce features of speech processing
- - EnvCraft: A modular environment design framework for investigating prosocial incentives
- - Cooperation guides evolution in a minimal model of biological evolution
- - Can LLMs be used to quantify the emotional salience of text statements using an Elo rating system?
- - Jacobian Sparse Autoencoders: Sparsify computations, not just activations
- - The impossible heap? A review of Reflections on language evolution: From minimalism to pluralism by Cedric Boeckx
- - Modeling nonlinear oscillator networks using physics-informed hybrid reservoir computing
- - Cooperation as well as learning: A commentary on 'How learning can guide evolution' by Hinton and Nowlan
- - Residual stream analysis with multi-layer SAEs
- - Hierarchical Bayesian modeling of multi-region brain cell count data
- - Topological and simplicial features in reservoir computing networks
- - GlyT2-positive interneurons regulate timing and variability of information transfer in a cerebellar-behavioural loop
- - Investigating the timescales of language processing with EEG and language models
- - An Iterated Learning Model of language change that mixes supervised and unsupervised learning
- - Modeling language contact with the Iterated Learning Model
- - Fostering multi-agent cooperation through implicit responsibility
- - A latent variable modeling approach for cognitive EEG data: An example from neurolinguistics