Calvin successfully defended his PhD thesis entitled “Optimal anticipatory control as a theory of motor preparation”. Thanks to his examiners, Máté Lengyel and Byron Yu!

See Kao et al.’s work on optimal motor preparation via a thalamo-cortical loop

See Rutten et al.’s work on non-reversible Gaussian processes (oral), and Jensen et al.’s new manifold GPLVM.

Welcome to both!

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He will be giving a perspective talk about the use of control-theoretic methods in neuroscience (slides) at the workshop on data, dynamics and computation, and a talk on the role of inhibition in motor control at the workshop on inhibitory microcircuits

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Motor primitives in space and time via targeted gain modulation in cortical networks

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Come and join us for an inspiring workshop on “Emergent function in non-random neural networks”, ahead of the main Bernstein Conference