Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Robin Woodburn is active.

Publication


Featured researches published by Robin Woodburn.


Interacting with Computers | 1994

Studies of turn-taking in computermediated communications

A. McKinlay; Rob Procter; Oliver Masting; Robin Woodburn; John L. Arnott

Groupware is designed to provide opportunities for physically dispersed computer users to co-operate in a manner akin to a face-to-face meeting. Little is understood, however, of the factors that might influence its success. One possible factor is ‘floor control’, or turntaking, which is an important feature of face-to-face meetings. The paper describes experiments designed to examine the importance of turn-taking in computer-mediated communications, in comparison with face-to-face conversations, and considers means whereby turntaking behaviour, and hence the effectiveness of groupware, can be improved.


Analog Integrated Circuits and Signal Processing | 1999

Biologically-Inspired On-Chip Learning in Pulsed Neural Networks

Torsten Lehmann; Robin Woodburn

Self-learning chips to implement many popular ANN (artificial neural network) algorithms are very difficult to design. We explain why this is so and say what lessons previous work teaches us in the design of self-learning systems. We offer a contribution to the “biologically-inspired” approach, explaining what we mean by this term and providing an example of a robust, self-learning design that can solve simple classical-conditioning tasks. We give details of the design of individual circuits to perform component functions, which can then be combined into a network to solve the task. We argue that useful conclusions as to the future of on-chip learning can be drawn from this work.


international symposium on circuits and systems | 1994

Pulse-stream circuits for on-chip learning in analogue VLSI neural networks

Robin Woodburn; H.M. Reekie; Alan F. Murray

We explain the advantages of the Virtual-Targets algorithm for learning in a VLSI Multilayer Perceptron, outline the design issues, and describe fabricated circuits that implement the main algorithmic functions. The test-chip described is a precursor to a larger device incorporating full on-chip learning.<<ETX>>


IEEE Circuits & Devices | 1996

Pulse-stream techniques and circuits

Robin Woodburn; Alan F. Murray

The pulse-stream technique for analogue computation combines many of the advantages of the analogue and digital domains. It was originally developed for artificial neural networks (ANNs), where it still finds most of its applications.


In: Diaper D, Sanger C, editor(s). Design Issues in Computer-Supported Cooperative Work. Springer-Verlag; 1994. p. 38-59. | 1994

Coordination Issues in Tools for CSCW

Rob Procter; A. McKinlay; Robin Woodburn; Oliver Masting

Neither group-based work nor its associated technologies are exactly new. Computer Supported Cooperative Work (CSCW), however, makes it necessary to reconsider many aspects of the design of technologies for group work. In particular, it raises questions about the support for the maintenance of common ground within the group (McCarthy et al. 1991), and the coordination of their activities - who can do what, where and when. We refer to these two aspects of group work collectively as “collaboration awareness”.


international symposium on circuits and systems | 1997

On-chip learning in pulsed silicon neural networks

Torsten Lehmann; Robin Woodburn; Alan F. Murray


International Journal of Neural Systems | 1997

The prospects for analogue neural VLSI.

Alan F. Murray; Robin Woodburn


In: People and Computers VI, Proceedings of the BCS HCI'91 Conference: People and Computers VI; Edinburgh. Cambridge University Press; 1991. p. 359-371. | 1991

A Study of Conversational Turn-Taking in a Communication Aid for the Deaf

Robin Woodburn; Rob Procter; John L. Arnott; A. Newell


the european symposium on artificial neural networks | 2001

Matching analogue hardware with applications using the Products of Experts algorithm.

Patrice Fleury; Robin Woodburn; Alan F. Murray


Archive | 1999

Biologically-inspired Learning in Pulsed Neural Networks

Torsten Lehmann; Robin Woodburn

Collaboration


Dive into the Robin Woodburn's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Torsten Lehmann

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar

H.M. Reekie

University of Edinburgh

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Torsten Lehmann

Technical University of Denmark

View shared research outputs
Researchain Logo
Decentralizing Knowledge