Jun 13, 2021 � In this study, we present a neuromorphic, spiking backpropagation algorithm based on synfire-gated dynamical information coordination and processing.

Jun 18, 2020 � A pulse-gated, neural implementation of the backpropagation algorithm. In Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop, page 10.

In particular, the workhorse of modern deep learning, the backpropagation algorithm, has proven difficult to translate to neuromorphic hardware. In this study,�...

In this follow-on study, we present a modified architecture that includes several new mechanisms that enable implementation of the backpropagation algorithm�...

Code implementing a neuromorphic, spiking backpropagation algorithm on Intel's neuromorphic research processor, codenamed Loihi - lanl/spikingBackprop.

Mar 17, 2020 � Dive into the research topics of 'Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware'. Together they form a unique�...

Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware - Los Alamos National Laboratory - Conference proceeding.

As an initial step in the evaluation of networks, a feedforward architecture is trained to approximate experimental data by the backpropagation algorithm.

This paper presents a probabilistic procedure for estimating the total number of elements in a proton-proton collisions between two particles and reports�...

Feb 8, 2024 � Download PDF 'Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware'. Preview. Content: Accepted Version; Language: English.