Conor Houghton

Dr. Conor Houghton is an Associate Professor in Computer Science at the University of Bristol, affiliated with the School of Engineering Mathematics and Technology. His work bridges computational neuroscience, machine learning, and artificial intelligence. He explores neural mechanisms in cognition, language evolution, and network dynamics through interdisciplinary methods. Research interests include neural coding, evolutionary models, and applications of deep learning to cognitive processes.

Key research themes involve modeling neural systems (e.g., cerebellar circuits, auditory processing), analyzing spike train data, and developing algorithms for information processing. His publications span topics like Bayesian inference in neural systems, cooperative evolutionary dynamics, and sparse autoencoder architectures. Collaborations with colleagues in neuroscience and computer science highlight his interdisciplinary approach.

Publications demonstrate expertise in computational neuroscience (e.g., cerebellar state estimation, synaptic plasticity) and machine learning (e.g., reservoir computing, language models). His work often combines theoretical models with empirical data analysis, addressing questions in both biological and artificial systems.