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Mostrando ítems 1-10 de 11
Ponencia
An AER Spike-Processing Filter Simulator and Automatic VHDL Generator Based on Cellular Automata
(Springer, 2011)
Spike-based systems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. Address-Event- Representation (AER) is a neuromorphic communication protocol for ...
Ponencia
Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA
(IEEE Computer Society, 2015)
Multisensory integration is commonly used in various robotic areas to collect more environmental information using different and complementary types of sensors. Neuromorphic engineers mimics biological systems behavior ...
Ponencia
Musical notes classification with Neuromorphic Auditory System using FPGA and a Convolutional Spiking Network
(IEEE Computer Society, 2015)
In this paper, we explore the capabilities of a sound classification system that combines both a novel FPGA cochlear model implementation and a bio-inspired technique based on a trained convolutional spiking network. ...
Artículo
Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications
(IEEE Computer Society, 2019)
Dynamic Vision Sensor (DVS) pixels produce an asynchronous variable-rate address-event output that represents brightness changes at the pixel. Since these sensors produce frame-free output, they are ideal for real-time ...
Ponencia
On the AER Stereo-Vision Processing: A Spike Approach to Epipolar Matching
(Springer, 2013)
Image processing in digital computer systems usually considers visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...
Capítulo de Libro
Embedding Multi-Task Address-Event- Representation Computation
(Springer, 2009)
Address-Event-Representation, AER, is a communication protocol that is intended to transfer neuronal spikes between bioinspired chips. There are several AER tools to help to develop and test AER based systems, which ...
Artículo
Neuromorphic LIF Row-by-Row Multiconvolution Processor for FPGA
(IEEE Computer Society, 2018)
Deep Learning algorithms have become state-of-theart methods for multiple fields, including computer vision, speech recognition, natural language processing, and audio recognition, among others. In image vision, ...
Ponencia
An Approach to Distance Estimation with Stereo Vision Using Address-Event-Representation
(Springer, 2011)
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...
Artículo
NAVIS: Neuromorphic Auditory VISualizer Tool
(Elsevier, 2017)
This software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors (NAS) information. The used NAS implements in FPGA a cascade filters architecture, imitating the ...
Ponencia
Spikes Monitors for FPGAs, an Experimental Comparative Study
(Springer, 2013)
In this paper we present and analyze two VHDL components for monitoring internal activity of spikes fired by silicon neurons inside FPGAs. These spikes monitors encode each spike according to the Address-Event ...