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NengoDL: Combining deep learning and neuromorphic modelling methods

28 May 2018

Papers citing "NengoDL: Combining deep learning and neuromorphic modelling methods"

21 / 21 papers shown

Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition

Noorbakhsh Amiri Golilarz

Hassan S. Al Khatib

Shahram Rahimi

124

09 Oct 2025

Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification

Mateusz Pabian

D. Rzepka

Miroslaw Pawlak

235

03 Jun 2024

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and MethodsFrontiers in Neuroscience (Front. Neurosci.), 2024

Yonghong Tian

372

06 May 2024

A differentiable brain simulator bridging brain simulation and brain-inspired computing

354

09 Nov 2023

Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection

Deniz Erdogmus

107

13 Jul 2023

A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices

Kai Malcolm

Josue Casco-Rodriguez

178

19 Mar 2023

Joint ANN-SNN Co-training for Object Localization and Image SegmentationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

117

10 Mar 2023

Hybrid Spiking Neural Network Fine-tuning for Hippocampus SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2023

120

14 Feb 2023

Tricking AI chips into Simulating the Human Brain: A Detailed Performance AnalysisNeurocomputing (Neurocomputing), 2023

Lennart P L Landsmeer

Max C. W. Engelen

Rene Miedema

Christos Strydis

135

31 Jan 2023

The Case for RISP: A Reduced Instruction Spiking Processor

132

28 Jun 2022

Spiking Approximations of the MaxPooling Operation in Deep SNNsIEEE International Joint Conference on Neural Network (IJCNN), 2022

Ramashish Gaurav

B. Tripp

Apurva Narayan

188

14 May 2022

Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to LearnFrontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2022

Alper Yegenoglu

Anand Subramoney

T. Hater

Cristian Jimenez-Romero

W. Klijn

Aarn Pérez Martín

Michiel A. van der Vlag

Michael Herty

A. Morrison

Sandra Díaz-Pier

138

28 Feb 2022

Sparse Distributed Memory using Spiking Neural Networks on Nengo

131

07 Sep 2021

A Spiking Neural Network for Image Segmentation

155

16 Jun 2021

The Backpropagation Algorithm Implemented on Spiking Neuromorphic HardwareNature Communications (Nat Commun), 2021

206

13 Jun 2021

In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic ProcessorDesign Automation Conference (DAC), 2021

177

08 May 2021

Nengo and low-power AI hardware for robust, embedded neurorobotics

Travis DeWolf

P. Jaworski

C. Eliasmith

178

20 Jul 2020

Recurrent and Spiking Modeling of Sparse Surgical Kinematics

171

12 May 2020

A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions

Aaron R. Voelker

Daniel Rasmussen

C. Eliasmith

193

10 Feb 2020

Minibatch Processing in Spiking Neural Networks

136

05 Sep 2019

Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

187

210

04 Dec 2018