Lancelot Da Costa

Affiliations: 
Imperial College London, London, England, United Kingdom 
Area:
theoretical neuroscience
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Karl John Friston grad student 2019-2023
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Publications

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Friston K, Da Costa L, Sakthivadivel DAR, et al. (2023) Path integrals, particular kinds, and strange things. Physics of Life Reviews. 47: 35-62
Ramstead MJD, Sakthivadivel DAR, Heins C, et al. (2023) On Bayesian mechanics: a physics of and by beliefs. Interface Focus. 13: 20220029
Da Costa L, Sajid N, Parr T, et al. (2023) Reward Maximization Through Discrete Active Inference. Neural Computation. 1-46
Da Costa L, Lanillos P, Sajid N, et al. (2022) How Active Inference Could Help Revolutionise Robotics. Entropy (Basel, Switzerland). 24
Sajid N, Faccio F, Da Costa L, et al. (2022) Bayesian Brains and the Rényi Divergence. Neural Computation. 34: 829-855
Da Costa L, Friston K, Heins C, et al. (2021) Bayesian mechanics for stationary processes. Proceedings. Mathematical, Physical, and Engineering Sciences. 477: 20210518
Friston K, Heins C, Ueltzhöffer K, et al. (2021) Stochastic Chaos and Markov Blankets. Entropy (Basel, Switzerland). 23
Ueltzhöffer K, Da Costa L, Cialfi D, et al. (2021) A Drive towards Thermodynamic Efficiency for Dissipative Structures in Chemical Reaction Networks. Entropy (Basel, Switzerland). 23
Parr T, Da Costa L, Heins C, et al. (2021) Memory and Markov Blankets. Entropy (Basel, Switzerland). 23
Friston KJ, Da Costa L, Parr T. (2021) Some Interesting Observations on the Free Energy Principle. Entropy (Basel, Switzerland). 23
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