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Mostrando ítems 1-6 de 6
Ponencia
Neuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retina
(Springer, 2011)
This paper presents a hierarchical neuromorphic system for tracking objects. We use AER (Address Event Representation) for transmitting and processing visual information provided by an asynchronous temporal contrast silicon ...
Artículo
CMOS Front End for Interfacing Spin-Hall Nano-Oscillators for Neuromorphic Computing in the GHz Range
(MDPI, 2023-01)
Spin-Hall-effect nano-oscillators are promising beyond the CMOS devices currently avail- able, and can potentially be used to emulate the functioning of neurons in computational neuromor- phic systems. As they oscillate ...
Artículo
An event-based classifier for Dynamic Vision Sensor and synthetic data
(Frontiers Media, 2017)
This paper introduces a novel methodology for training an event-driven classifier within a Spiking Neural Network (SNN) System capable of yielding good classification results when using both synthetic input data and real ...
Ponencia
AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation
(Springer, 2011)
Neuro-inspired processing tries to imitate the nervous system and may resolve complex problems, such as visual recognition. The spike-based philosophy based on the Address-Event-Representation (AER) is a neuromorphic ...
Artículo
Neuromorphic Low-Power Inference on Memristive Crossbars With On-Chip Offset Calibration
(IEEE, 2021-03)
Monolithic integration of silicon with nano-sized Redox-based resistive Random-Access Memory (ReRAM) devices opened the door to the creation of dense synaptic connections for bio-inspired neuromorphic circuits. One ...
Artículo
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition
(Cornell University, 2021)
In recent years tremendous efforts have been done to advance the state of the art for Natural Language Processing (NLP) and audio recognition. However, these efforts often translated in increased power consumption and ...