Distributed processing — the role of the intelligent peripheral

1981 ◽  
Vol 5 (1) ◽  
pp. 32

Andy Clark is a leading philosopher and cognitive scientist. The fruits of his work have been diverse and lasting. They have had an extraordinary impact throughout philosophy, psychology, neuroscience, and robotics. The extended mind hypothesis, the power of parallel distributed processing, the role of language in opening up novel paths for thinking, the flexible interface between biological minds and artificial technologies, the significance of representation in explanations of intelligent behaviour, the promise of the predictive processing framework to unify the cognitive sciences: these are just some of the ideas explored in Clark’s work that have been picked up by many researchers and that have been contributing to intense debate across the sciences of mind and brain. This volume provides the first interdisciplinary, critical engagement with Clark’s work; it includes contributions of authors from several disciplines, offering a fresh perspective on key questions in the sciences of mind and brain.


Author(s):  
Yenumula B. Reddy

This spectrum sensing application is ideal for nanotechnology implementation because intensive computations are needed. Without nanocomputing it might be infeasible to implement sensing and analysis in real-time for cognitive radio networks with the current available computing power. Therefore, we need complicated distributed processing schemes to achieve our goals and nanocomputing is the best answer. The contribution includes the current state of nanotechnology, the cognitive radio networks, role of nanotechnology in cognitive radio networks, and building the model using nanotechnology for real-time applications.


Author(s):  
Matteo Colombo ◽  
Liz Irvine ◽  
Mog Stapleton

Andy Clark is a leading philosopher and cognitive scientist. His work has been wide-ranging and inspiring. The extended mind hypothesis, the power of parallel distributed processing, the role of language in opening up novel paths for thinking, the flexible interface between biological minds and artificial technologies, the significance of representation in explanations of intelligent behaviour, the promise of the predictive processing framework to unify the cognitive sciences: these are just some of the ideas illuminated by Clark’s work that have sparked intense debate across the sciences of mind and brain. This introduction puts into focus some of the major motifs running through Clark’s work and outlines the content and structure of the volume.


Author(s):  
Neil McLean

The convergence of communications technology and computer technology has resulted in the development of the Open Systems Interconnection (OSI) Reference Model which permits communication between computers both within and between organizations. There are now national and international library initiatives concerned with developing applications for bibliographic searching and transfer of records and also interlending. In parallel with these initiatives it is important to re-evaluate the role of the library at an institutional level where open systems architecture and distributed processing are changing work practices. The key concept to be explored is the role of the library in the management of information services which will serve potential applications at the workstation level.


2007 ◽  
Vol 19 (7) ◽  
pp. 1125-1139 ◽  
Author(s):  
Stephen R. Welbourne ◽  
Matthew A. Lambon Ralph

PMSP96 [Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103, 56–115, 1996, Simulation 4] is an implementation of the triangle model of reading, which was able to simulate effects found in normal and surface dyslexic readers. This study replicated the original findings and explored the possibility that damage to the phonological portion of the model might produce symptoms of phonological dyslexia. The first simulation demonstrated that this implementation of PMSP96 was able to reproduce the standard effects of reading, and that when damaged by removal of the semantic input to phonology, it produced the kind of frequency/consistency interactions and regularization errors typical of surface dyslexia. The second simulation explored the effect of phonological damage. Phonological damage alone did not result in a convincing simulation of phonological dyslexia. However, when the damage was followed by a period of recovery, the network was able to simulate large lexicality and imageability effects characteristic of phonological dyslexia-the first time that both surface and phonological dyslexia have been simulated in the same parallel distributed processing network. This result supports the view that plasticity-related changes should be a significant factor in our understanding of chronic behavioral dissociations.


2014 ◽  
pp. 1020-1040
Author(s):  
Yenumula B. Reddy

Computing and communications are central issues in cognitive radio networks. The cognitive users are increasing exponentially and the available spectrum resource is constant. Therefore, efficient usage of spectrum through cognitive radio networks is essential. The real-time communications in cognitive radio networks with increasing demand for spectrum is possible through nanocomputing. Nanocomputing is the computing with thousands or millions of computers at the same time to gain more power for less money within minimum possible time. Therefore, the future research requires real-time communications using interconnected nanolevel computer devices. This spectrum sensing application is ideal for nanotechnology implementation because intensive computations are needed. Without nanocomputing it might be infeasible to implement sensing and analysis in real-time for cognitive radio networks with the current available computing power. Therefore, we need complicated distributed processing schemes to achieve our goals and nanocomputing is the best answer. The contribution includes the current state of nanotechnology, the cognitive radio networks, role of nanotechnology in cognitive radio networks, and building the model using nanotechnology for real-time applications.


2003 ◽  
Vol 12 (2) ◽  
pp. 169-189 ◽  
Author(s):  
Jonathan Smallwood ◽  
Marc Obonsawin ◽  
Derek Heim

JAMA ◽  
1966 ◽  
Vol 195 (12) ◽  
pp. 1005-1009 ◽  
Author(s):  
D. J. Fernbach
Keyword(s):  

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