A predictive plasticity model to describe learning in single neurons
- 30.09.24 I gave a talk about this work at the workshop "Understanding Local Third Factors in Synaptic Plasticity: Mechanisms and Functional Implications" during the Bernstein 2024 in Frankfurt Am Main (DE), with the title "Predictive learning rules: Redefining synaptic plasticity beyond pre-post spike timing".
- 27.08.23 The second paper from this project is freely available on BiorXiv here.
- 21.08.23 The first paper from this project is finally published on Nature Communications here !
(Saponati, M., & Vinck, M. (2023). Sequence anticipation and spike-timing-dependent plasticity emerge from a predictive learning rule. Nature Communications, 14(1), 4985). - 11.03.23 I presented some results from this project at the CoSyNe Conference 2023 (I also got a travel grant for this). You can find the abstract by cmd+F "saponati" in the conference proceedings.
Saponati, M., & Vinck, M. (2023). A predictive plasticity rule entails the anticipation of multiple spike sequences. Cosyne Conference 2023. - 11.03.23 I presented some results from this project at the Society for Neuroscience (SfN) Meeting 2022. You can find the abstract of my presentation here.
Saponati, M., & Vinck, M. (2022). A predictive plasticity rule explains the anticipation of spike patterns at the single neuron level and the emergence of spike-timing-dependent plasticity mechanisms.
moving things here from another repo - work in progress.
refs: