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Artículo
A 32 x 32 Pixel Convolution Processor Chip for Address Event Vision Sensors With 155 ns Event Latency and 20 Meps Throughput
(IEEE Computer Society, 2011)
This paper describes a convolution chip for event-driven vision sensing and processing systems. As opposed to conventional frame-constraint vision systems, in event-driven vision there is no need for frames. In frame-free ...
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
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
(MDPI, 2019)
Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of its massive parallelism and sparse information coding. Recently, several large-scale hardware projects ...
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 ...