University of Cambridge > Talks.cam > Computational Neuroscience > Data-driven models of neural and behavioural learning

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Data-driven models of neural and behavioural learning

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Daniel Kornai.

Learning and adaptation play a central role in interacting with a dynamic environment. Neuroscience experiments have classically focused on how individual brain regions perform simplified tasks. However, recent technological advances have rapidly enabled the monitoring of large populations of neurons over many days, across multiple brain regions, and during increasingly complex behaviors. Yet even with such data within our reach, we still lack the theoretical and quantitative tools necessary to infer the fundamental principles guiding learning in the brain.

In this talk I will present several of our latest efforts to bridge this gap. First, by building state-dependent statistical models, we demonstrate that complex locomotor behaviours can be disentangled into a twofold learning process combining discrete and continuous aspects that are both refined over learning. Second, we propose a theoretical framework for how different motor regions (the motor cortex and cerebellum) could coordinate as a distributed learning system. Finally, I will present our recent development of tensor-based dimensionality reduction methods to track how neural dynamics change as learning unfolds. Together, our work aims to develop interpretable data-driven models to understand and link learning dynamics across neural and behavioural scales.

This talk is part of the Computational Neuroscience series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Networking with IndieBio: The world's largest seed biotech accelerator ERC Equipoise Cambridge Networks and Communications meeting

Other talks

Great Fen: progress on the peat Using Maths to Decode the Universe Wearable electrocardiography: from Holter to handheld devices ‘A peculiar survey … for our peculiar purpose’: founding the Ordnance Survey of Ireland Psychiatric disorders, dimensions, hierarchies, states or traits? How can we determine the right ontology for research and practice? The Solidarity Economy: Nonprofits and the Making of Neoliberalism after Empire
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity