connectivity-inference

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benulisnyak / SNN_causal_inference

Trains a SNN of LIF neurons to reproduce activity samples by learning connections through surrogate gradient descent. Then the connectivity matrix samples statistics are inputted as features for a gradient boosted trees classifier to infer probability of connections existing.

data-science machine-learning time-series pytorch network-inference computational-neuroscience scientific-computing neural-networks spiking-neural-networks graph-analysis gradient-boosting connectivity-inference

Updated Aug 9, 2026
Python

gordonkoehn / nexus

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Investigating the performance of a cross-correlation method of inferring functional connectivity in adaptive-exponential integrate and fire (aEIF) neuron model on small-scale neuronal networks of different activity patterns (synchronous & regular / asynchronous & regular) and topologies (random / scale-free).

correlation topology neuroscience connectivity neuron-simulations neuron-model connectivity-inference

Updated Feb 26, 2023
Jupyter Notebook

gilad-altshuler / Three_Body_RNN

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Code repository accompanying the paper "Beyond linear summation: Inferring interaction order from neural and biological dynamics" 🧠

neural-network systems-biology computational-biology neuroscience network-inference rnn universality connectivity-inference three-body high-order-interactions low-rank-decomposition high-order-rnn three-body-rnn

Updated Mar 25, 2026
Jupyter Notebook

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