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Cortex-Pro is a neural network development tool
designed by Mike Reiss and Simon Hasting
(who started to work on it while at the Centre for Neural Networks at King's College London).
It is a very flexible tools and the version
which you can download has been expanded with:
Other additions are in preparation:
View a screen shot cyclop.gif(78062) ), part of which was incorporated in the note:
Connectionist Approach to Spatial Memory and
Planning" (PDF 304K)
Bugmann, G. (1997),
as Chap. 5 in Landau L.J. and Taylor J.G. (eds) "Basic Concepts in Neural Networks: A survey",
In the Series: Perspectives in Neural Networks, Springer, London, pp. 109-146.
Cortex-Pro was also used in following publications:
"Note on the Use of Weight-Averaging Output Nodes
in RBF-Based Mapping nets"
Bugmann, G. (1997) rbfwav.zip (56235)
->(run the demo RBFWAV.CTX to see the new net!).
"Neuro-resistive grid approach to trainable
controllers: A pole balancing example".
D'Cruz B., Bapi R. and Bugmann G. (1997)
To appear in Neural Computing and Application Journal nrgpole.zip (ps file)(144294)
->(run the demo RESCART.CTX to see the pole balance!).
"Planning and Learning Goal-Directed Sequences of
Althöfer K. and Bugmann G.(1995)
Proc. of ICANN'95, Paris, Vol. 1, 449-454. icangb95.zip (ps file)(37402)
->(run the demo ARMDEM.CTX to see the robot arm move!).
"Route finding by neural nets"
Bugmann, G., Taylor, J.G. and Denham M. (1994)
in Taylor J.G (ed) "Neural Networks", Alfred Waller Ltd, Henley-on-Thames, p. 217-230.
->(run the demo ROBODEM.CTX to see a robot solve a maze problem!).
"Value Maps for planning and learning implemented
with cellular automata "
Bugmann G. (1996)
in Parmee I.C. (ed) "Proc. of the 2nd International Conf. on Adaptive Computing in Engineering Design and Control (ACEDC'96)", Plymouth, 26-28 March 1996, ISBN 0 905227 61 1, p. 307-309. edc96_ps.zip (30631)
"Biologically Plausible Neural Computation"
Bugmann G. (1997)
Biosystems,40, pp. 11-19. biosys96.zip (ps file)(41057)
->(run the demo ELIFDEM.CTX to see a motion detecting spiking neuron with partial reset!).
->(run the demo LIFDEM.CTX to see a spiking neuron with random inputs!).
"Role of Temporal Integration and Fluctuation
Detection in the highly irregular firing of a Leaky
Integrator Neuron Model with Partial Reset".
Bugmann G., Christodoulou C. and Taylor J.G. (1996)
To appear in Neural Computation
Just click on a shortcut on your desktop and all files modified since the last backup will be saved onto a CD (use the same CD for successive backups until full), in a readable format.