William C. Hoffman (1998) Are Neural Nets a Valid Model of Cognition?
. Psycoloquy: 9(12) Connectionist Explanation (9)
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Psycoloquy 9(12): Are Neural Nets a Valid Model of Cognition?
ARE NEURAL NETS A VALID MODEL OF COGNITION?
William C. Hoffman
Commentary on Green on Connectionist-Explanation
Institute for Topological Psychology
2591 W. Camino Llano, Tucson, AZ, USA 85742-9074
Connectionist models purport to model cognitive
neuropsychology by means of adaptive linear algebra applied to
point neurons. As a theory of cognition, this approach is deficient
in several aspects: noncovergence in neurobiological real-time;
omission of two topological structures fundamental to the
information processing psychology on which connectionist models are
based; omission of the local structure of neurobiological
processing; omission of actual neuron morphologies, cortical
cytoarchitecture, and the cortical orientation response; the
inability to perform memory retrieval from point-neuron "weights"
in neurobiological real-time; and failure to implement
psychological constancy. Cognitive processing by neuronal flows is
offered as a viable alternative. Finally, neural nets fail Hempel's
test of empirical and systematic import.
connectionism, neural nets, neuropsychology, cognition,
perception, computational models, philosophy of science, memory,
psychological constancy, symmetric difference.