https://github.com/benlansdell/rdd
python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper
Science Score: 23.0%
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Repository
python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper
Basic Info
- Host: GitHub
- Owner: benlansdell
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011005
- Size: 28 MB
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- Stars: 10
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
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Metadata Files
README.md
Neural spiking for causal inference and learning
Ben Lansdell and Konrad Kording 2023
Abstract: When a neuron is driven beyond its threshold, it spikes. The fact that it does not communicate its continuous membrane potential is usually seen as a computational liability. Here we show that this spiking mechanism allows neurons to produce an unbiased estimate of their causal influence, and a way of approximating gradient descent-based learning. Importantly, neither activity of upstream neurons, which act as confounders, nor downstream non-linearities bias the results. We show how spiking enables neurons to solve causal estimation problems and that local plasticity can approximate gradient descent using spike discontinuity learning.
python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper (here).
See the text for more details.

Owner
- Name: Ben Lansdell
- Login: benlansdell
- Kind: user
- Location: Santa Fe, NM
- Company: Health stealth
- Website: benlansdell.github.io
- Twitter: benlansdell
- Repositories: 111
- Profile: https://github.com/benlansdell
Machine learning and applied mathematics | Former postdoc @KordingLab UPenn, PhD in applied mathematics @Fairhall-Lab UW