A predictive plasticity model to describe learning in single neurons and neural networks



  • 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).
  • 27.08.23 The preprint of the second paper from this project is now freely available.

    "Inhibitory feedback enables predictive learning of multiple sequences in neural networks"
    BiorXiv - code
  • 21.08.23 The first paper from this project is finally published on Nature Communications :)

    "Sequence anticipation and spike-timing-dependent plasticity emerge from a predictive learning rule"
    paper - code
  • 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.
  • 16.11.22 I presented some results from this project at the Society for Neuroscience (SfN) Meeting 2022. You can find the abstract of my presentation here.


moving things here from another repo - work in progress.




refs: