FPGA implementation of Spiking Neural Networks

Author:

Rosado-Muñoz A.,Bataller-Mompeán M.,Guerrero-Martínez J.

Publisher

Elsevier BV

Subject

General Medicine

Reference20 articles.

1. STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity;Benuskova;Journal of Computational Neuroscience,2007

2. Temporal Pattern Classification using Spiking Neural Networks;Booij,2004

3. Software Environment for Spiking Neural Network Design and FPGA implementation;Fijalkowski,2010

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1. SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs;ACM Transactions on Reconfigurable Technology and Systems;2022-12-09

2. Energy Efficient FPGA Implementation of a Spiking Neural Network;2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT);2022-10-07

3. Digital Implementation of Oscillatory Neural Network for Image Recognition Applications;Frontiers in Neuroscience;2021-08-26

4. Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks;Journal of Parallel and Distributed Computing;2021-08

5. SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs;2021 31st International Conference on Field-Programmable Logic and Applications (FPL);2021-08

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