On this week's Journal Club session, Ohki Katakura will talk about his work in the talk entitled "How the cerebellum recognises learnt and novel patterns: computational approach with a biologically detailed network model".
The cerebellum is essential for motor control, timing and cognition. Although its anatomy and physiology have been investigated, recent experimental studies raise new open questions. These include how the granule cells process mossy fibre signals and how the Purkinje cells code learnt and novel patterns. In this research, a detailed cerebellar cortex network model was constructed by incorporating existing models [1,2] and introducing long-term depression at granule cell-Purkinje cell synapses. The network connectivity switches between the oscillatory and non-oscillatory activity states, affecting the sparsity of activated granule cells. Pattern recognition criteria differed across these states: in the oscillatory network, novel prompted longer pauses in Purkinje cell spikes, while the non-oscillatory network responded with longer bursts. The number of storable patterns in the network corresponds to the sparsity of activation.
Papers:
- E. De, Schutter, J. Bower, "An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice", 1994, Journal of Neurophysiology, 71, 375--400
- S. Sudhakar, S. Hong, I. Raikov, R. Publio, C. Lang, T. Close, D. Guo, M. Negrello, E. Schutter, "Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer", 2017, PLOS Computational Biology, 13, e1005754
Date: 2024/02/23
Time: 14:00
Location: C258 & online