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A review of SNN implementation on FPGA
QT Pham, TQ Nguyen, PC Hoang… - … analysis and pattern …, 2021 - ieeexplore.ieee.org
Spiking Neural Network (SNN), the next generation of Neural Network, is supposed to be
more energy-saving than the previous generation represented by Convolution Neural …
more energy-saving than the previous generation represented by Convolution Neural …
Astrocyte-integrated dynamic function exchange in spiking neural networks
M Isik, K Inadagbo - International Conference on Engineering of Computer …, 2023 - Springer
This paper presents an innovative methodology for improving the robustness and
computational efficiency of Spiking Neural Networks (SNNs), a critical component in …
computational efficiency of Spiking Neural Networks (SNNs), a critical component in …
Fault-tolerant learning in spiking astrocyte-neural networks on FPGAs
The paper presents a neuromorphic system implemented on a Field Programmable Gate
Array (FPGA) device establishing fault tolerance using a learning method, which is a …
Array (FPGA) device establishing fault tolerance using a learning method, which is a …
Time-multiplexed system-on-chip using fault-tolerant astrocyte-neuron networks
Spike-based brain-inspired systems have shown an immense capability to achieve internal
stability, widely referred to as homeostasis. This ability enrols them as the best candidate for …
stability, widely referred to as homeostasis. This ability enrols them as the best candidate for …
1 Stanford University, Stanford, CA, USA mrtisik@ stanford. edu
M Isik, K Inadagbo - … , ECBS 2023, Västerås, Sweden, October 16 …, 2023 - books.google.com
This paper presents an innovative methodology for improving the robustness and
computational efficiency of Spiking Neural Networks (SNNs), a critical component in …
computational efficiency of Spiking Neural Networks (SNNs), a critical component in …
[PDF][PDF] Neuromorphic Circuits with Spiking Astrocytes for Increased Energy Efficiency, Fault Tolerance, and Memory Capacitance
In the rapidly advancing field of neuromorphic computing, integrating biologically-inspired
models like the Leaky Integrate-and-Fire Astrocyte (LIFA) into spiking neural networks …
models like the Leaky Integrate-and-Fire Astrocyte (LIFA) into spiking neural networks …
[PDF][PDF] AstroByte: Programmable and Scalable Multi-FPGA
SH Karim - 2020 - pure.ulster.ac.uk
The human brain is one of the most complex systems known to mankind with an estimated
100 billion neurons, 0.15 quadrillion (150 thousand billion) synapses and around a trillion …
100 billion neurons, 0.15 quadrillion (150 thousand billion) synapses and around a trillion …