SOMprocessor: A high throughput FPGA-based architecture for implementing Self-Organizing Maps and its application to video processing
MAA de Sousa, R Pires, E Del-Moral-Hernandez - Neural Networks, 2020 - Elsevier
The design of neuromorphic chips aims to develop electronic circuits dedicated to executing
artificial neural networks, mainly by exploring parallel processing. Unsupervised learning …
artificial neural networks, mainly by exploring parallel processing. Unsupervised learning …
Neuroengine: a hardware-based event-driven simulation system for advanced brain-inspired computing
Brain-inspired computing aims to understand the cognitive mechanisms of a brain and apply
them to advance various areas in computer science. Deep learning is an example to greatly …
them to advance various areas in computer science. Deep learning is an example to greatly …
[PDF][PDF] Proposal of a generative model of event-based representations for grounded language understanding
Grounding is the problem of correspondence between the symbolic concepts of language
and the physical environment. The research direction that we propose to tackle language …
and the physical environment. The research direction that we propose to tackle language …
[PDF][PDF] TESIS DOCTORAL Spiking Neural Networks models targeted for implementation on Reconfigurable Hardware.
T Iakymchuk - 2017 - roderic.uv.es
In this thesis, I studied the feasibility of implementing Spiking Neural Networks (SNNs) in
reconfigurable hardware. The main research is focused on efficient computation models for …
reconfigurable hardware. The main research is focused on efficient computation models for …