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Mostrando ítems 1-7 de 7
Artículo
Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate-Coding and Coincidence Processing. Application to Feed-Forward ConvNets
(Institute of Electrical and Electronics Engineers (IEEE), 2013)
Event-driven visual sensors have attracted interest from a number of different research communities. They provide visual information in quite a different way from conventional video systems consisting of sequences of ...
Artículo
On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing
(IEEE Computer Society, 2008)
In this paper, a chip that performs real-time image convolutions with programmable kernels of arbitrary shape is presented. The chip is a first experimental prototype of reduced size to validate the implemented circuits ...
Artículo
On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights
(Frontiers Media, 2018)
In computational neuroscience, synaptic plasticity learning rules are typically studied using the full 64-bit floating point precision computers provide. However, for dedicated hardware implementations, the precision used ...
Artículo
Fast vision through frameless event-based sensing and convolutional processing: Application to texture recognition
(Institute of Electrical and Electronics Engineers, 2010)
Address-event representation (AER) is an emergent hardware technology which shows a high potential for providing in the near future a solid technological substrate for emulating brain-like processing structures. When used ...
Artículo
A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection
(Springer Verlag, 2012)
Computation with spiking neurons takes advantage of the abstraction of action potentials into streams of stereotypical events, which encode information through their timing. This approach both reduces power consumption ...
Artículo
On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex
(Frontiers Media, 2011)
In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are linking one type of memristor nanotechnology ...
Artículo
Efficient feedforward categorization of objects and human postures with address-event image sensors
(Institute of Electrical and Electronics Engineers, 2012)
This paper proposes an algorithm for feedforward categorization of objects and, in particular, human postures in real-time video sequences from address-event temporal-difference image sensors. The system employs an innovative ...