Neural Networks and Neuroscience-Inspired Computer Vision
نویسندگان
چکیده
منابع مشابه
Neural Networks and Neuroscience-Inspired Computer Vision
Brains are, at a fundamental level, biological computing machines. They transform a torrent of complex and ambiguous sensory information into coherent thought and action, allowing an organism to perceive and model its environment, synthesize and make decisions from disparate streams of information, and adapt to a changing environment. Against this backdrop, it is perhaps not surprising that com...
متن کاملQuantum-inspired Neural Networks
Quantum computing (physically-based computation founded on quantum-theoretic concepts) is gaining prominence because of recent claims for its massively increased computational eeciency, its potential for bridging brain and mind, and its increasing relevance as computer technology develops into nanotechnology. Its impact on neural information processing has so far been minimal. This paper introd...
متن کاملComputer assisted instruction during quarantine and computer vision syndrome
Computer vision syndrome (CVS) is a set of visual, ocular, and musculoskeletal symptoms that result from long-term computer use. These symptoms include eyestrain, dry eyes, burning, pain, redness, blurred vision, etc, which increase with the duration of computer use. Currently, with the closure of schools and universities due to the continued COVID19 pandemic many universities have taken the pr...
متن کاملSpecial issue on neural networks for computer vision applications
This paper presents a novel approach to the segmentation and integration of (radar) images using a secondorder recurrent arti cial neural network architecture consisting of two sub-networks: a function network that classi es radar measurements into four di erent categories of objects in sea environments (water, oil spills, land and boats), and a context network that dynamically computes the fun...
متن کاملNeural networks for computational neuroscience
Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained in neuroscience using several different kinds of models, one of which being artificial neural networks. In this tutorial we review some of the advances neural networks have achieved in computational neuroscience, and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Current Biology
سال: 2014
ISSN: 0960-9822
DOI: 10.1016/j.cub.2014.08.026