Noor Sajid
Affiliations: | University College London, London, United Kingdom |
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Parents
Sign in to add mentor| Karl John Friston | grad student | 2019- | UCL |
| Cathy Price | grad student | 2019- | UCL |
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| Sajid N, Gajardo-Vidal A, Ekert JO, et al. (2023) Degeneracy in the neurological model of auditory speech repetition. Communications Biology. 6: 1161 |
| Novicky F, Parr T, Friston K, et al. (2023) Bistable perception, precision and neuromodulation. Cerebral Cortex (New York, N.Y. : 1991) |
| Da Costa L, Sajid N, Parr T, et al. (2023) Reward Maximization Through Discrete Active Inference. Neural Computation. 1-46 |
| Anil Meera A, Novicky F, Parr T, et al. (2022) Reclaiming saliency: Rhythmic precision-modulated action and perception. Frontiers in Neurorobotics. 16: 896229 |
| 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 |
| Sajid N, Convertino L, Friston K. (2021) Cancer Niches and Their Kikuchi Free Energy. Entropy (Basel, Switzerland). 23 |
| Parr T, Sajid N, Da Costa L, et al. (2021) Generative Models for Active Vision. Frontiers in Neurorobotics. 15: 651432 |
| Sajid N, Holmes E, Hope TM, et al. (2021) Simulating lesion-dependent functional recovery mechanisms. Scientific Reports. 11: 7475 |
| Sajid N, Ball PJ, Parr T, et al. (2021) Active Inference: Demystified and Compared. Neural Computation. 1-39 |