BookDOI
VLSI Design of Neural Networks
Ulrich Ramacher,Ulrich Rückert +1 more
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The article was published on 1990-11-01. It has received 83 citations till now. The article focuses on the topics: Very-large-scale integration.read more
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Journal ArticleDOI
Neuromorphic analogue vlsi
TL;DR: The significance of neuromorphic systems is that they offer a method of exploring neural computation in a medium whose physical behavior is analogous to that of biological nervous systems and that operates in real time irrespective of size.
Journal ArticleDOI
Principles and perspectives.
TL;DR: Important tools for the promotion of sustainable chemistry are the abolition of barriers for innovation in legislation and within the chemical industry, more transparency for all users of chemical products, a new focus on sustainability in education and research, and a new way of thinking in terms of sustainability.
Journal ArticleDOI
Aspects of systems and circuits for nanoelectronics
TL;DR: In particular, linear threshold networks, the associative matrix, self-organizing feature maps, and cellular arrays are investigated from the viewpoint of their potential significance for nanoelectronics and their usefulness to system implementations with quantum-effect devices is given.
Journal ArticleDOI
A generic systolic array building block for neural networks with on-chip learning
TL;DR: The two-dimensional systolic array system presented is an attempt to define a novel computer architecture inspired by neurobiology that is composed of generic building blocks for basic operations rather than predefined neural models.
Journal ArticleDOI
Analog VLSI neuromorphic image acquisition and pre-processing systems
TL;DR: Robust, miniature, and energetically efficient VLSI systems for AOR can ultimately be achieved by following a path which optimizes the design at and between all levels of system integration, i.e., from devices and circuit techniques all the way to algorithms and architectural level considerations.