UK Neural Computation 2024

UKNC24 is taking place 8-10 July 2024 at the University of Sheffield: a national meeting for the UK community working on the computational side of neuroscience. Be it modelling, maths, data science, theory, machine-learning, and all combinations thereof. From the single synapse and single neuron, through ensembles, networks, and circuits, up to the large-scale functional networks in the human brain.

Key information

Confirmed speakers

Organisers

Hannes Saal (University of Sheffield), Stuart Wilson (University of Sheffield), Alekhya Mandali (University of Sheffield), Hazem Toutounji (University of Sheffield), Mark Humphries (University of Nottingham)

Sponsors

ECR workshops

The workshops will take place on Monday, 8 July, starting around mid day, and also include sessions on Tuesday, 9 July, in the morning. They will include networking, sessions on career development in both academia and industry, and other activities relevant to ECRs. Targeted at PhD students and postdocs.

Main conference

See the summary programme below. See the full programme PDF for abstracts and poster session details.

  • 11:45–12:50
    Registration and lunch

  • 12:50–13:00
    Welcome from the organisers

  • 13:00–13:30
    Rasmus Petersen (University of Manchester)

    The function of sensory cortex during natural behaviour

  • 13:30–14:00
    Huiling Tan (MRC BNDU, Oxford)

    Adaptive DBS for Movement Disorders - from basic neuroscience to translation

  • 14:00–14:30
    Valentin Schmutz (UCL)

    High-dimensional population activity from low-dimensional population dynamics: an exactly solvable model

  • 14:30–15:00
    Coffee

  • 15:00–15:30
    Dan Goodman (Imperial College London)

    From neural mechanism to function

  • 15:30–16:00
    Samuel Eckmann (University of Cambridge)

    A neural circuit model for inhibition-stabilized memory encoding and retrieval

  • 15:30–16:00
    Eleni Vasilaki (University of Sheffield)

    Fundamental Elements in Decision-Making: Insights from a Reinforcement Learning Model

  • 16:30–18:30
    Posters session A & Reception

  • 9:30–10:00
    Rui Ponte Costa (University of Oxford)

    Back to the present: self-supervised learning in cortical layers

  • 10:00–10:30
    Emma Scholey (University of Birmingham)

    The explore/exploit trade-off drives variation in patch foraging decisions

  • 10:30–11:00
    Tim O'Leary (University of Cambridge)

    Data-driven neural dynamics

  • 11:00–11:30
    Coffee

  • 11:30–12:00
    Yulia Timofeeva (University of Warwick)

    Computational modelling of neurotransmitter release

  • 12:00–12:30
    Isabel Cornacchia (University of Edinburgh)

    An efficient coding theory for cortical connectivity

  • 12:30–13:00
    Andrew Lin (University of Sheffield)

    Sparse coding through homeostatic plasticity in the Drosophila mushroom body

  • 13:00–14:00
    Lunch (overlaps with start of poster session)

  • 13:30–15:30
    Poster session B

  • 15:30–16:00
    Geoff Goodhill (Washington University)

    Decoding the development of behavior and neural circuits in zebrafish

  • 16:00–16:30
    Mark van Rossum (University of Nottingham)

    Energy efficient learning in neural networks

  • 16:30–17:15
    Randy Bruno (University of Oxford)

    Cortical layers in context & learning

  • 17:15–17:30
    Closing remarks