new PhD position to develop ML tools for learning dynamics from data (see e.g. this) and apply them to C elegans brain dynamics. Interested? Get in touch with Guillaume

Marine has successfully defended her PhD (“Models of neural circuits as optimally driven dynamical systems”), with Srdjan Ostojic and Máté Lengyel as examiners. Well done Marine!

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 both!). Congrats, Kris!

Guillaume Hennequin is promoted to Professor (Grade 11)

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!

See publications

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

See full text here

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

See publications

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