Tuomo Mäki-Marttunen - Biochemically detailed modelling of cortical synaptic plasticity
Channel: LiSNN.channel
Date: 2021-11-23

The Learning in Spiking Neural Networks Initiative [1]  presents:

Speaker:  Tuomo Mäki-Marttunen, Tampere University [2]

Title: Biochemically detailed modelling of cortical synaptic plasticity. Applications to schizophrenia research.

Abstract: Heritable mental disorders such as schizophrenia express symptoms and phenotypes that are likely to be caused by altered synaptic plasticity in the cortex. In agreement with this, genome-wide association studies of schizophrenia have implicated a large number of risk genes involved in synaptic plasticity. In this talk, I will present our unified model for cortical synaptic plasticity (Mäki-Marttunen et al., 2020, eLife 2020). This biochemically detailed model of post-synaptic plasticity describes CaMKII, PKA, and PKC pathways and their contribution to synaptic potentiation or depression. For this model, we developed a statistical AMPA-receptor-tetramer model, which permits the estimation of the AMPA-receptor-mediated maximal synaptic conductance based on numbers of GluR1s and GluR2s predicted by the biochemical signalling model. I will show that our model reproduces neuromodulator-gated spike-timing-dependent plasticity as observed in the visual cortex and can be fit to data from many cortical areas, uncovering the biochemical contributions of the pathways pinpointed by the underlying experimental studies. Finally, I will discuss how the model can be used to study plasticity alterations of schizophrenia. 

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[1] https://www.uni-frankfurt.de/103796621/Learning_in_Spiking_Neural_Networks
[2] https://www.tuni.fi/en/tuomo-maki-marttunen
[3] https://twitter.com/LiSNNinitiative