Neurobiology research suggests that information can be represented by the location of an activity spot in a population of cells (`place coding'), and that this information can be processed by means of networks of interconnections. Place Coding in Analog VLSI defines a representation convention of similar flavor intended for analog-integrated circuit design. It investigates its properties and suggests ways to build circuits on the basis of this coding scheme.
The place coding approach is illustrated by three integrated circuits computing non-linear functions of several variables. The simplest one is made up of 80 links and achieves submicrowatt power consumption in continuous operation. The most complex one incorporates about 1800 links for a power consumption of 6 milliwatts, and controls the operation of an active vision system with a moving field of view.
Place Coding in Analog VLSI is primarily intended for researchers and practicing engineers involved in analog and digital hardware design (especially bio-inspired circuits). The book is also a valuable reference for researchers and students in neurobiology, neuroscience, robotics, fuzzy logic and fuzzy control.
Recent years have seen a rapid expansion of the number of psychologists and applied social scientists working or training in applied settings such as mental health, health promotion, education, work and organisations, management and marketing. Increasingly, the professionals, researchers and students working in these areas are seeking to describe and understand the links between causal beliefs and behaviour, that is, attributions in action. In the context of such applied work, the collection and analysis of qualitative data is often required. This book deals with a powerful, practical and well-tried method the Leeds Attributional Coding System (LACS) for extracting and coding causal beliefs from qualitative interview data. The method has been developed and used over the last ten years, in a variety of applied contexts. The authors have provided here a practical and accessible introduction to the method, illustrated by examples, case studies and useful applications in a range of applied settings. This book provides<br> * an overview of attribution theory and causal beliefs, from a practitioner perspective<br> * an introduction to a tried and tested tool for coding qualitative interview data<br> * clear and explanatory examples of the method in action, as well as useful exercises<br> * case studies from a variety of fields including clinical, organisational and marketing settings
Basic Concepts in Information Theory and Coding is an outgrowth of a one- semester introductory course that has been taught at the University of Southern California since the mid-1960s. Lecture notes from that course have evolved in response to student reaction, new technological and theoretical develop- ments, and the insights of faculty members who have taught the course (in- cluding the three of us). In presenting this material, we have made it accessible to a broad audience by limiting prerequisites to basic calculus and the ele- mentary concepts of discrete probability theory. To keep the material suitable for a one-semester course, we have limited its scope to discrete information theory and a general discussion of coding theory without detailed treatment of algorithms for encoding and decoding for various specific code classes. Readers will find that this book offers an unusually thorough treatment of noiseless self-synchronizing codes, as well as the advantage of problem sections that have been honed by reactions and interactions of several gen- erations of bright students, while Agent 00111 provides a context for the discussion of abstract concepts.
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