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Search results for spiking neural networks neuromorphic computing
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11 search results found
Spike Driven Transformer
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130
Offical implementation of "Spike-driven Transformer" (NeurIPS2023)
Models
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69
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
Gac
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61
Offical implementation of "Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks" (AAAI2024)
Norse
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58
Deep learning for spiking neural networks
Awesome Spiking Neural Networks
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43
A paper list of spiking neural networks, including papers, codes, and related websites.
Spikingformer
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27
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Spiking Neural Network On Fpga
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18
Leaky Integrate and Fire (LIF) model implementation for FPGA
Spiking Ddpg Mapless Navigation
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17
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
Spikingformer Cml
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14
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Lsnn Official
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13
Long short-term memory Spiking Neural Networks
Pynmsnn
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11
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
Snn4space
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10
ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.
Spike
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8
Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
Noisy Spiking Neuron Nets
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8
Official repo of Noisy Spiking Neural Networks
Event Based Velocity Prediction Snn
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5
Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit of using SNNs and neuromorphic technology is the ability to optimize the size, weight, and power consumed in a system. SNNs can be trained and employed i
Spiking Oculomotor Head Control
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5
Python and ROS implementation of an SNN on Intel's Loihi neuromorphic processor mimicking the oculomotor system controlling a biomimetic robotic head
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