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Mostrando ítems 151-160 de 176
Artículo
A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP
(Institute of Electrical and Electronics Engineers Inc., 2022-12)
The advent of nanoscale memristors raised hopes of being able to build CMOL (CMOS/nanowire/molecular) type ultra-dense in-memory-computing circuit architectures. In CMOL, nanoscale memristors would be fabricated at the ...
Artículo
A modified ART 1 algorithm more suitable for VLSI implementations
(Elsevier, 1996)
This paper presents a modification to the original ART 1 algorithm (Carpenter and Grossberg, 1987a, A massively parallel architecture for a self-organizing neural pattern recognition machine, Computer Vision, Graphics, and ...
Ponencia
A Precise CMOS Mismatch Model for Analog Design from Weak to Strong Inversion
(IEEE Computer Society, 2004)
A five parameter mismatch model continuos from weak to strong inversion is presented. The model is an extension of a previously reported one valid in the strong inversion region [1]. A mismatch characterization of NMOS ...
Artículo
An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors
(IEEE Computer Society, 2012)
Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional video and computer vision ...
Ponencia
A novel CMOS analog neural oscillator cell
(Institute of Electrical and Electronics Engineers, 1989)
A very flexible programmable CMOS analog neural oscillator cell architecture is presented. The proposed neuron circuit architecture is a hysteretic neural-type pulse oscillator. Its implementation consists of a transconductance ...
Artículo
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is ...
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 ...
Ponencia
Very high frequency CMOS OTA-C quadrature oscillators
(Institute of Electrical and Electronics Engineers, 1990)
An approach to the design of high-frequency monolithic voltage-controlled oscillators using operational transconductance amplifiers and capacitors is given. Results from two 3 μm CMOS prototypes are presented. Both frequency ...
Ponencia
CMOS circuit implementations for neuron models
(Institute of Electrical and Electronics Engineers, 1990)
The mathematical neuron basic cells used as basic cells in popular neural network architectures and algorithms are discussed. The most popular neuron models (without training) used in neural network architectures and ...
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 ...