wponghiran / imp-snns-for-slView external linksLinks
Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
☆11May 5, 2022Updated 3 years ago
Alternatives and similar repositories for imp-snns-for-sl
Users that are interested in imp-snns-for-sl are comparing it to the libraries listed below
Sorting:
- ☆17Dec 18, 2020Updated 5 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Nov 20, 2020Updated 5 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Feb 15, 2023Updated 3 years ago
- ☆29Dec 8, 2020Updated 5 years ago
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆15Apr 12, 2023Updated 2 years ago
- ☆13Oct 1, 2020Updated 5 years ago
- a spiking neural network module, tempotron for classification☆17Jan 13, 2021Updated 5 years ago
- A benchmark suite for evaluating Spiking Neural Networks (SNNs) on temporal processing tasks, comparing abilities of SNN-related models a…☆21Aug 14, 2025Updated 6 months ago
- ☆37Jul 2, 2025Updated 7 months ago
- ☆19Mar 13, 2023Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆49Nov 11, 2021Updated 4 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆53Aug 20, 2021Updated 4 years ago
- Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆21May 26, 2022Updated 3 years ago
- For managing 2P imaging datasets from preprocessing to activity trace extraction☆10Apr 12, 2019Updated 6 years ago
- ☆31Jan 9, 2025Updated last year
- This project contains code for the paper titled "SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentia…☆28Feb 21, 2024Updated last year
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆30Oct 24, 2021Updated 4 years ago
- [ECCV-24] Spiking Wavelet Transformer☆41Jul 13, 2025Updated 7 months ago
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆36Feb 2, 2023Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆39Jun 7, 2021Updated 4 years ago
- ☆12Oct 13, 2021Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Apr 15, 2023Updated 2 years ago
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆48Jun 26, 2022Updated 3 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Nov 24, 2019Updated 6 years ago
- Python/numpy/pandas convenience wrapper for the TIMIT database.☆11Nov 26, 2018Updated 7 years ago
- residual deep cnn and lstm for classifying SEED data☆13May 1, 2023Updated 2 years ago
- ☆14May 12, 2022Updated 3 years ago
- Implementation in Python/Cython of the algorithm VMD_CVM for signal denoising☆11Jul 29, 2022Updated 3 years ago
- [ICML 2024] Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning☆11Jun 1, 2024Updated last year
- ☆10Dec 5, 2020Updated 5 years ago
- ☆11Jan 14, 2025Updated last year
- A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition☆10Oct 2, 2022Updated 3 years ago
- ☆11Mar 8, 2023Updated 2 years ago
- ☆12Mar 1, 2024Updated last year
- Advanced_Data_Integration_Project☆11Jul 31, 2018Updated 7 years ago
- A jekyll template derived from Minimal Mistakes and inspired by academicpages. To see an example of what a webpage might look like with t…☆15May 22, 2018Updated 7 years ago
- The official training/validation/test dataset repository for the SOTA? task as SimpleText Task4@CLEF2024☆14Jul 7, 2024Updated last year
- ☆12Apr 18, 2023Updated 2 years ago
- A locally temporal-spatial pattern learning graph attention network (LTS-GAT) for EEG emotion recognition.☆12Jun 4, 2022Updated 3 years ago