Abstract
The cerebellum plays a vital role in motor learning. The delay eyeblink conditioning is a standard protocol for studying cerebellar function from both computational and experimental perspectives. Ca2+-mediated bidirectional plastic changes between parallel fibers and Purkinje cells are regarded as the most important modulation that can dominate cerebellar motor learning. However, the mechanism of such modulation is unclear and difficult to uncover with experimental methods in vivo. In this study, we propose a biologically plausible learning rule for parallel fibers-Purkinje cells (PFs-PCs) bidirectional synaptic plasticity based on the inositol 1,4,5-trisphosphate (IP3)-βCaMKII-AMPAR cascade mediated by Ca2+. We simulate the process of AMPA receptor phosphorylation and dephosphorylation which are influenced by the concentration of regenerative Ca2+ and IP3 mediated by the coactivation of parallel fiber and climbing fiber to Purkinje cell. Using this model, Purkinje cells can not only learn the responses of single interstimulus interval (ISI), sequential double ISIs, and two sessions of different ISIs, but also show excitatory responses after short ISI afferents, consistent with our observation. In addition, the conditioned response maxima of the simulation results all appear before the expected unconditioned stimulus input, which confirms the biological experimental findings. These results suggest that PF-PC plasticity based on the IP3-Ca2+-AMPAR cascade may be the key to revealing unknown mechanisms of cerebellar motor learning and our model can reproduce subtle details of the motor learning process of delay eyeblink conditioning. © 2024 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 809-822 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Cognitive and Developmental Systems |
| Volume | 17 |
| Issue number | 4 |
| Online published | 16 Dec 2024 |
| DOIs | |
| Publication status | Published - Aug 2025 |
Funding
This work was supported by STU Scientific Research Initiation Grant, No. NTF24003T
Research Keywords
- bidirectional plasticity
- cerebellar motor learning
- long-term depression
- long-term potentiation
- spiking neural network
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