Publications
See my Google scholar profile 
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Published
The computational foundations of dynamic coding in working memory
Jake P. Stroud, John Duncan, and Máté Lengyel, Trends in Cognitive Sciences, 2024.
Effects of noise and metabolic cost on cortical task representations
Jake P. Stroud, Michał J. Wójcik, Kristopher T. Jensen, Makoto Kusunoki, Mikiko Kadohisa, Mark J. Buckley, John Duncan, Mark G. Stokes, and Máté Lengyel, Elife, e94961, 2024.
Optimal information loading into working memory explains dynamic coding in the prefrontal cortex
Jake P. Stroud, Kei Watanabe, Takafumi Suzuki, Mark Stokes, and Máté Lengyel, Proceedings of the National Academy of Sciences 120(48), e2307991120, 2023.
Motor primitives in space and time via targeted gain modulation in cortical networks
Jake P. Stroud, Mason A. Porter, Guillaume Hennequin, and Tim P. Vogels, Nature Neuroscience 21(12), pp. 1774-1783, 2018.
Cortical signal propagation: Balance, amplify, transmit
Jake P. Stroud and Tim P. Vogels, Neuron, 98(1), pp. 8-9, 2018.
Dynamics of cluster synchronisation in modular networks: Implications for structural and functional networks
Jake P. Stroud, Mauricio Barahona, and Tiago Pereira, Applications of Chaos and Nonlinear Dynamics in Science and Engineering - Vol. 4, Springer, pp. 107-130, 2015.
Preprints
Effects of noise and metabolic cost on cortical task representations
Jake P. Stroud, Michał J. Wójcik, Kristopher T. Jensen, Makoto Kusunoki, Mikiko Kadohisa, John Duncan, Mark G. Stokes, and Máté Lengyel, bioRxiv, 2023.
Learning shapes neural geometry in the prefrontal cortex
Michał J. Wójcik, Jake P. Stroud, Dante Wasmuht, Mikiko Kadohisa, Nicholas E. Myers, Laurence T. Hunt, John Duncan, and Mark G. Stokes, bioRxiv, 2023.
Optimal information loading into working memory in prefrontal cortex explains dynamic coding
Jake P. Stroud, Kei Watanabe, Takafumi Suzuki, Mark G. Stokes, and Máté Lengyel, bioRxiv, 2021.
Motor primitives in space and time via targeted gain modulation in cortical networks
Jake P. Stroud, Mason A. Porter, Guillaume Hennequin, and Tim P. Vogels, bioRxiv, 2018.
Dynamics of cluster synchronisation in modular networks: Implications for structural and functional networks
Jake P. Stroud, Mauricio Barahona, and Tiago Pereira, arXiv, 2014.
PhD thesis
Spatio-temporal control of network activity in cortical network models
(Oxford deposit link) Advisors: Tim P. Vogels, Mason A. Porter, and Guillaume Hennequin. Viva committee: Larry Abbott and Rafal Bogacz.
Patents
Method for interrogating mixtures of nucleic acids
Jake P. Stroud and Phillippa M. Payne, publication number: WO2017001813 A1, 2017.Conferences
Talks
Optimal information loading into working memory by non-normal attractor dynamics in PFC
Cosyne, 2021.Spatio-temporal control of recurrent cortical activity through gain modulation
Bernstein, 2018.Motor primitives in space and time via targeted gain modulation in cortical networks
Cosyne, 2018.Posters
Just-in-time computations by non-normal attractor dynamics in the prefrontal cortex
Jake P. Stroud, Kei Watanabe, Takafumi Suzuki, Mark G. Stokes, and Mate Lengyel Neuromatch 3.0, 2020.
A unifying model of prefrontal dynamics across task epochs during working memory
Jake P. Stroud, Kei Watanabe, Takafumi Suzuki, Mark G. Stokes, and Mate Lengyel Bernstein, 2020.
Targeted gain modulation facilitates learning in recurrent motor circuits Jake P. Stroud, Mason A. Porter, Guillaume Hennequin, and Tim P. Vogels Cosyne, 2017.
Learning motor movements via gain modulation in recurrent networks Jake P. Stroud, Mason A. Porter, Guillaume Hennequin, and Tim P. Vogels Perspectives in Nonlinear Dynamics, 2016.