"Sensory information is detected and transformed by sensory neural networks before reaching higher levels of processing. These networks need to perform significant processing tasks while being compatible with the following levels. Lateral inhibition is a mechanism of local neuronal interaction that produces significant global properties. This book discusses those sensory neural networks influenced by nonlinear lateral inhibition. It features biological bases of lateral inhibition models, computational properties of these models that stress their short term adaptive behavior, their relation to recent activity in neural networks and connectionist systems, their use for image processing applications, and their application to motion detection. Descriptions from different technologies of analog hardware implementations of these classes of networks are described and results from implementations that corroborate theoretical analysis and show technologically desirable applications are presented. The book also uses nonlinear mathematical techniques to analyze temporal and spatial behavior of models presented within the text. Sensory Neural Networks: Lateral Inhibition is an interdisciplinary work that will prove useful to neural network theorists, biologists, circuit designers, and vision scientists."--Provided by publisher.
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9781351357890
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Computer vision.
موضوع مستند نشده
Neural circuitry.
موضوع مستند نشده
Neural networks (Computer science)
موضوع مستند نشده
Computer vision.
موضوع مستند نشده
Neural circuitry.
موضوع مستند نشده
Neural networks (Computer science)
مقوله موضوعی
موضوع مستند نشده
TEC007000
رده بندی ديویی
شماره
006
.
3
ويراست
20
رده بندی کنگره
شماره رده
QP363
.
3
نشانه اثر
N334
2017
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )