![Thom Griffith](https://profiles-cardiff.imgix.net/attachments/8320?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Thom Griffith
Teams and roles for Thom Griffith
Research Associate in AI for Collective Intelligence
Overview
I am a Research Associate on the Human-Centred Design theme within the AI for Collective Intelligence (AI4CI) UKRI AI Research Hub, working with Prof. Phil Morgan (Cardiff University, School of Psychology) and Prof. Laura G. E. Smith (University of Bath, Dept. of Psychology).
I hold a PhD in Complexity Science from the University of Bristol and previously worked as a Senior Research Associate in the Dexterous Robotics group at the Bristol Robotics Laboratory, where my research focused on reinforcement learning for robotic perception and decision-making.
Publication
2025
- Griffith, T. , Baker, S. and Lepora, N. F. 2025. Decision threshold learning in the Basal Ganglia for multiple alternatives. Neural Computation 37 (7), pp.1256-1287. (10.1162/neco_a_01760)
2023
- Griffith, T. et al. 2023. Feature attention as a control mechanism for the balance of speed and accuracy in visual search. Computational Brain & Behavior 6 (3), pp.503–512. (10.1007/s42113-023-00171-8)
2022
- Baker, S. , Griffith, T. and Lepora, N. F. 2022. Degenerate boundaries for multiple-alternative decisions. Nature Communications 13 (1) 5066. (10.1038/s41467-022-32741-y)
- Pestell, N. , Griffith, T. and Lepora, N. F. 2022. Artificial SA-I and RA-I afferents for tactile sensing of ridges and gratings. Journal of the Royal Society Interface 19 (189) 20210822. (10.1098/rsif.2021.0822)
2021
- Griffith, T. , Baker, S. and Lepora, N. F. 2021. The statistics of optimal decision making: Exploring the relationship between signal detection theory and sequential analysis. Journal of Mathematical Psychology 103 102544. (10.1016/j.jmp.2021.102544)
2017
- Roberts, L. et al., 2017. Mathematical modelling of a magnetic immunoassay. IMA Journal of Applied Mathematics 82 (6), pp.1253–1282. (10.1093/imamat/hxx034)
2016
- Blackwell, K. T. et al., 2016. Control of Ca2+ influx and calmodulin activation by SK-channels in dendritic spines. PLoS Computational Biology 12 (5) e1004949. (10.1371/journal.pcbi.1004949)
2015
- Griffith, T. , Mellor, J. and Tsaneva-Atanasova, K. 2015. Spike-Timing Dependent Plasticity (STDP), Biophysical Models. In: Jaeger, D. and Jung, R. eds. Encyclopedia of Computational Neuroscience. New York: Springer(10.1007/978-1-4614-6675-8_359)
Articles
- Griffith, T. , Baker, S. and Lepora, N. F. 2025. Decision threshold learning in the Basal Ganglia for multiple alternatives. Neural Computation 37 (7), pp.1256-1287. (10.1162/neco_a_01760)
- Griffith, T. et al. 2023. Feature attention as a control mechanism for the balance of speed and accuracy in visual search. Computational Brain & Behavior 6 (3), pp.503–512. (10.1007/s42113-023-00171-8)
- Baker, S. , Griffith, T. and Lepora, N. F. 2022. Degenerate boundaries for multiple-alternative decisions. Nature Communications 13 (1) 5066. (10.1038/s41467-022-32741-y)
- Pestell, N. , Griffith, T. and Lepora, N. F. 2022. Artificial SA-I and RA-I afferents for tactile sensing of ridges and gratings. Journal of the Royal Society Interface 19 (189) 20210822. (10.1098/rsif.2021.0822)
- Griffith, T. , Baker, S. and Lepora, N. F. 2021. The statistics of optimal decision making: Exploring the relationship between signal detection theory and sequential analysis. Journal of Mathematical Psychology 103 102544. (10.1016/j.jmp.2021.102544)
- Roberts, L. et al., 2017. Mathematical modelling of a magnetic immunoassay. IMA Journal of Applied Mathematics 82 (6), pp.1253–1282. (10.1093/imamat/hxx034)
- Blackwell, K. T. et al., 2016. Control of Ca2+ influx and calmodulin activation by SK-channels in dendritic spines. PLoS Computational Biology 12 (5) e1004949. (10.1371/journal.pcbi.1004949)
Book sections
- Griffith, T. , Mellor, J. and Tsaneva-Atanasova, K. 2015. Spike-Timing Dependent Plasticity (STDP), Biophysical Models. In: Jaeger, D. and Jung, R. eds. Encyclopedia of Computational Neuroscience. New York: Springer(10.1007/978-1-4614-6675-8_359)