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27 Jun 2024: GROUPS. Computational and Biological Learning Lab. The group uses engineering approaches to understand the brain and to develop artificial learning systems. ... Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak

27 Jun 2024: At both levels, our work builds heavily upon engineering-related domains such as dynamical systems and control theory, probabilistic machine learning, and optimization. ... Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and

27 Jun 2024: Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and Jonathan Pillow – thank you

27 Jun 2024: Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and Jonathan Pillow – thank you ... New paper accepted at Nature

27 Jun 2024: One of the central problems in systems neuroscience is to understand how neural spike trains convey sensory information. ... A major open problem in systems neuroscience is to understand the relationship between behavior and the detailed spiking

27 Jun 2024: Kris has a PhD! Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and

25 Jun 2024: connectivity matrix. short-term memory decision-making V1. Linear systems in neuroscience. τdx. ... connectivity matrix. short-term memory decision-making V1 M1. Linear systems in neuroscience.

27 Jun 2024: Kris has a PhD! Kris is now Dr Kris! He successfully defended his thesis entitled “Strong and weak principles of Bayesian machine learning for systems neuroscience” (examined by Yashar Ahmadian and

27 Jun 2024: Editorial overview: Computational neuroscience. Doiron B and Lengyel M. Current Opinion in Neurobiology, 2019. ... In parallel, a more mature theoretical community has built solid social networks (through conferences such as the Computational Neuroscience

27 Jun 2024: TC Kao, and G Hennequin. Abstract. A major challenge in systems neuroscience is to understand how the dynamics of neural circuits give rise to behaviour. ... Although a rich engineering literature has grown over decades to facilitate the analysis of such

27 Jun 2024: Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems. ... Students in computational neuroscience benefit from the strong machine learning group within CBL.

25 Jun 2024: Corresponding author (g.hennequin@eng.cam.ac.uk). September 6, 2019. Summary. A major challenge in systems neuroscience is to understand how the dynamics of neural circuits give rise to ... Although a rich engineering literature has grown over decades to

27 Jun 2024: Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems. ... Students in computational neuroscience benefit from the strong machine learning group within CBL.

27 Jun 2024: Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems. ... Students in computational neuroscience benefit from the strong machine learning group within CBL.

25 Jun 2024: J Neurophysiol,81(3):1296–307. Crook, S., Ermentrout, G., and Bower, J. (1998). Dendritic and synaptic effects in systems ofcoupled cortical oscillators. ... Hippocampus, 15(7):950–62. Izhikevich, E. (2007). Dynamical Systems in Neuroscience: The

27 Jun 2024: Abstract. Understanding how neural dynamics give rise to behaviour is one of the most fundamental questions in systems neuroscience. ... We demonstrate the effectiveness of iLQR-VAE on a range of synthetic systems, with autonomous as well as input-driven

25 Jun 2024: ABSTRACT. Understanding how neural dynamics give rise to behaviour is one of the mostfundamental questions in systems neuroscience. ... While iLQR-VAE could find applications in many fields as a general approach to learning stochasticnonlinear dynamical

27 Jun 2024: Nature neuroscience, 3:391, 2000. [8] Timothy P Lillicrap and Stephen H Scot. ... Cortical control of arm movements: a dynamical systems perspective. Annual review of neuroscience, 36, 2013.

27 Jun 2024: Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems. ... Students in computational neuroscience benefit from the strong machine learning group within CBL.

27 Jun 2024: Nature neuroscience, 3:391, 2000. [8] Timothy P Lillicrap and Stephen H Scot. ... Cortical control of arm movements: a dynamical systems perspective. Annual review of neuroscience, 36, 2013.