Abstract— In this paper, we report a simulation based study of large-scale image learning and recognition using neural network consisting of active pixel ...
The proposed scheme provides a robust approach for encoding, learning, and recognizing the large-scale images using hardware-based neural-circuits. ResearchGate ...
A hardware-based approach for implementing biological visual cortex-inspired image learning and recognition. Lu, Wenchao, Chen, Wenbo, Li, Yibo, Kaake, ...
We analyze the computational algorithm within the neocortex model from a hardware implementation point of view and develop a hardware design to speed up the ...
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Dec 20, 2023 · Here we demonstrate an emerging multimodal-multifunctional resistive random-access memory (RRAM) device array based on modified silk fibroin protein (MSFP).
For robots equipped with an advanced computer vision-based system, object recognition has stringent real-time requirements. When the environment becomes ...
It is based on the learning process of the human vision as an edge-enhancing filter for medical images. We set up an experiment to test its impact on the ...
Oct 5, 2024 · We proposed a human visual pathway-replicated hardware that consists of crossbar arrays with split floating gate 2D tungsten diselenide (WSe 2 ) unit devices.
Missing: approach implementing
The performance of the approach constitutes a suggestive plausibility proof for a class of feedforward models of object recognition in cortex and exhibits ...
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Nov 16, 2020 · Object recognition in the visual cortex of mammals and humans has inspired many computational object recognition models.