Ashley M. Aitken (1993) Have Module, Need Architecture!
. Psycoloquy: 4(47) Categorization (10)
Versions: ASCII formatted
Psycoloquy 4(47): Have Module, Need Architecture!
HAVE MODULE, NEED ARCHITECTURE!
Book Review of Murre on Categorization
Ashley M. Aitken
Artificial Intelligence Laboratory,
School of Electrical Engineering and Computer Science,
University of New South Wales,
PO Box 1, Kensington,
NSW, 2033, AUSTRALIA.
ashley@cse.unsw.edu.au
Abstract
Murre's (1992a) book presents a new neural network module
for unsupervised categorization in the style of ART (Carpenter &
Grossberg, 1988). The book is relatively easy to read but
progresses a little slowly in places. The local representation of
the CALM module yields, amongst other things, a stable learning
system. The competition driven arousal system yields the fast
learning rate and dissociation between activation and elaboration
learning. Also, with a slight modification, the CALM module can
capture the topology in the input patterns. For those working on
competitive learning systems this book is highly recommended.
Although it has a distinct psychological flavor, it should appeal
to the taste of most computer scientists interested in neural
networks, and those neuroscientists interested in higher level
models. CALM is a significant and interesting neural network
module, very well thought out and well exercised. However, this
book can only be the beginning, for, if CALM is the module, what is
the architecture?
Keywords
Neural networks, neurobiology, psychology engineering,
CALM, Categorizing And Learning Module, neurocomputers,
catastrophic interference, genetic algorithms.
References
- Carpenter, G. A., & Grossberg, S. (March 1988). The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network. IEEE Computer.
- Eccles, J. C. (1984). The Cerebral Neocortex : A Theory of Its Operation. In E. J. Jones & A. Peters (Eds.), Cerebral Cortex Volume 2 (pp. 1-36). Plenum Press.
- Grossberg, S. (1982). Studies of Mind and Brain : New Principles of Learning, Perception, Development, Cognition and Motor Control. D. Reidel Publishing Company.
- Guldner, F. H. (1993). Activity Dependent Plasticity of Synapses in the Central Nervous System. In P. Leong & M. Jabri (Eds.), Proceedings of the Fourth Australian Conference on Neural Networks (ACNN'93) (pp. 34-35). Sydney: Sydney University Electrical Engineering.
- Hubel, D. H., & Wiesel, T. N. (1977). Functional Architecture of Macaque Monkey Visual Cortex. Proc. R. Soc. Lond. B., 198, 1-59.
- Jacobs, R. A., Jordan, M. I., Nowlan, S. J., & Hinton, G. E. (1991). Adaptive Mixtures of Local Experts. Neural Computation, 3, 79-87.
- Jones, E. G., Burton, H., & Porter, R. (1975). Commissural and Cortico-cortical "Columns" in the Somatic Sensory Cortex of Primates. Science, 190(7 November), 572-574.
- Kohonen, T. (1982). Self-organized Formation of Topologically Correct Feature Maps. Biological Cybernetics, 43, 59-69.
- Mountcastle, V. (1978). An organizing principle for cerebral function: The unit module and the distributed system. In Edelman, G. M., & Mountcastle, V. B. (1979). The Mindful Brain (pp. 17-49). Cambridge, Massachusetts: MIT Press.
- Murre, J. M. J. (1992a). Learning and categorization in modular neural networks. Hillsdale, NJ: Lawrence Erlbaum.
- Murre, J.M.J. (1992b). Precis of: Learning and categorisation in modular neural networks. PSYCOLOQUY 3(68) categorization.1
- Rakic, P. (1988). Specification of Cerebral Cortical Areas. Science, 241, 170-176.