SNAVA—A real-time multi-FPGA multi-model spiking neural network simulation architecture
Abstract Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation
platform is a scalable and programmable parallel architecture that supports real-time, large …
platform is a scalable and programmable parallel architecture that supports real-time, large …
Characterizing high-speed serial transceivers for a multi-processor parallel architecture
M Zapata, B Vallejo-Mancero… - … Systems Engineering and …, 2021 - Springer
Emulation of large scale neural networks is a growing research field that tries to understand
how the brain works. Different approaches based on hardware and software have been …
how the brain works. Different approaches based on hardware and software have been …
Characterizing High-Speed Serial Transceivers for a Multi-processor Parallel Architecture
L Topon-Visarrea - Human Systems Engineering and Design III …, 2020 - books.google.com
Emulation of large scale neural networks is a growing research field that tries to understand
how the brain works. Different approaches based on hardware and software have been …
how the brain works. Different approaches based on hardware and software have been …
Axonal Delay Controller for Spiking Neural Networks Based on FPGA
M Zapata, J Madrenas, M Zapata, J Alvarez - … Factors in Energy, July 24-28 …, 2020 - Springer
In this paper, the implementation of a programmable Axonal Delay Controller (ADyC)
mapped on a hardware Neural Processor (NP) FPGA-based is reported. It is possible to …
mapped on a hardware Neural Processor (NP) FPGA-based is reported. It is possible to …
Axonal Delay Controller for Spiking Neural Networks Based on FPGA
AG Rumiñahui - Advances in Artificial Intelligence, Software and …, 2019 - books.google.com
In this paper, the implementation of a programmable Axonal Delay Controller (ADyC)
mapped on a hardware Neural Processor (NP) FPGA-based is reported. It is possible to …
mapped on a hardware Neural Processor (NP) FPGA-based is reported. It is possible to …