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Mostrando ítems 1-7 de 7
Ponencia
Live Demonstration: Neuromorphic Row-by-Row Multi-convolution FPGA Processor-SpiNNaker architecture for Dynamic-Vision Feature Extraction
(IEEE Computer Society, 2019)
In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution processor, based on leaky integrate and fire neurons (LIF) and a SpiNNaker board is presented. The ...
Ponencia
Live Demonstration: neuromorphic robotics, from audio to locomotion through spiking CPG on SpiNNaker.
(IEEE Computer Society, 2019)
This live demonstration presents an audio-guided neuromorphic robot: from a Neuromorphic Auditory Sensor (NAS) to locomotion using Spiking Central Pattern Generators (sCPGs). Several gaits are generated by sCPGs ...
Ponencia
Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker
(IEEE Computer Society, 2022)
One of the most interesting and still growing sci entific fields is neuromorphic engineering, which is focused on studying and designing hardware and software with the purpose of mimicking the basic principles of biological ...
Ponencia
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
(Springer, 2016)
The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems can track animal positions using GPS systems, the behavior classification is not a common task. For ...
Ponencia
A SpiNNaker Application: Design, Implementation and Validation of SCPGs
(Springer, 2017)
In this paper, we present the numerical results of the implementation of a Spiking Central Pattern Generator (SCPG) on a SpiNNaker board. The SCPG is a network of current-based leaky integrateand- fire (LIF) neurons, ...
Ponencia
Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker
(IEEE Computer Society, 2022)
The human brain is the most powerful and efficient machine in existence today, surpassing in many ways the ca pabilities of modern computers. Currently, lines of research in neuromorphic engineering are trying to develop ...
Ponencia
Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker
(Springer, 2016)
Audio classification has always been an interesting subject of research inside the neuromorphic engineering field. Tools like Nengo or Brian, and hardware platforms like the SpiNNaker board are rapidly increasing in ...