https://github.com/benlansdell/rdd

python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper
https://github.com/benlansdell/rdd

causal-inference computational-neuroscience economics leaky-integrate-and-fire-model neural-network

Last synced: 3 months ago
JSON representation

python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper

• Host: GitHub
• URL: https://github.com/benlansdell/rdd
• Owner: benlansdell
• License: mit
• Created: 2017-09-15T19:45:22.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2023-04-06T03:12:44.000Z (over 1 year ago)
• Last Synced: 2024-07-18T11:06:08.466Z (4 months ago)
• Topics: causal-inference, computational-neuroscience, economics, leaky-integrate-and-fire-model, neural-network
• Language: Jupyter Notebook
• Homepage: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011005
• Size: 28 MB
• Stars: 9
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## 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](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011005)).

See the text for more details.

![alt text](assets/fig1.png "Figure 1")