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GitHub / IGITUGraz / MemoryDependentComputation

Code for Limbacher, T., Özdenizci, O., & Legenstein, R. (2022). Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. arXiv preprint arXiv:2205.11276.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IGITUGraz%2FMemoryDependentComputation

Stars: 6
Forks: 3
Open Issues: 1

License: gpl-3.0
Language: Python
Repo Size: 3.63 MB
Dependencies: 10

Created: about 2 years ago
Updated: 8 months ago
Last pushed: about 1 year ago
Last synced: 8 months ago

Topics: associations, babi-tasks, cross-modal-learning, hebbian-learning, memory-networks, neural-networks, one-shot-learning, python, pythorch, question-answering, recurrent-neural-networks, reinforcement-learning, spiking-neural-networks

Files

Readme

Dependencies

environment.yml conda

cudatoolkit 10.2.89.*
gym 0.18.0.*
matplotlib 3.3.2.*
pytorch 1.7.0.*
scikit-learn 1.0.2.*
stable-baselines3 1.1.0.*
tensorboard 2.3.0.*
torchaudio 0.7.0.*
torchvision 0.8.1.*
tqdm 4.59.0.*