Explainable AI for spatial navigation based on hippocampal circuitry (Coppolino + Migliore 2023)
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Updated
Dec 23, 2023 - Python
Explainable AI for spatial navigation based on hippocampal circuitry (Coppolino + Migliore 2023)
Statistical tests for some of the most common connection algorithms used in neural networks. Brian, PyNN, NEST and CSA are tested.
End-of-studies project about SNN and motion recognition
My master thesis "Statistical tests for connection algorithms for neural networks". Also available at https://nmbu.brage.unit.no/nmbu-xmlui/bitstream/handle/11250/189117/Hjertholm2013.pdf?sequence=1
An introduction to Spiking Neural Networks.
RBS (Rule Based System). Build rules using facts that are cached to neurons and ran on NEST or SpiNNaker.
Single Trial Sequence learning: a spiking neurons model based on hippocampus (Coppolino et al 2021)
A few Colab Notebooks that can be used to get started with pyNN and test virtual sPyNNaker without many issues.
Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009)
Final Year Project w/ SpiNNaker hardware
Bio-inspired neuromorphic cerebellum
This repository contains my current doctoral research at the University of Manchester
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN)
A curated list of awesome neuromorphic frameworks, libraries, resources, and other things
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