Abstract
This paper examines the reason for a particular impairment of cognitive functioning in brain-damaged patients called visual neglect. To achieve this goal a Selective Attention Identification Model (SAIM) was developed which performs translation-invariant object recognition. SAIM uses a constraint satisfaction routine based on a continuous Hopfield network to map an object into a focus of attention. The simulation results show that SAIM is a successful model of visual attention and visual neglect.
Preview
Unable to display preview. Download preview PDF.
References
J. Driver. Object Segmentation and visual neglect. Behavioural Brain Research, 71:135–146, 1995.
D. Heinke and G. W. Humphreys. SAIM: A connectionist model of selection for identification, in normality and pathology. in preparation.
J. Hopfield. Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci. USA, 81:3088–3092, 1984.
Glyn W. Humphreys and M. Jane Riddoch. Attention to Within-object and Between-object Spatial Representations: Multiple Sites for Visual Selection. Cognitive Neuropsychology, 11(2):207–241, 1994.
G.W. Humphreys and D. Heinke. Spatial representation and selection in the brain: Neuropsychological and computational constraints. Cognitive Neuroscience of Visual Attention, a special issue of Visual Cognition, in press.
E. Mjolsness and Ch. Garrett. Algebraic Transformation of Objective Functions. Neural Networks, 3:651–669, 1990.
B. A. Olshausen and D. C. Andersen, C. H.and Van Essen. A multiscale dynamic routing circuit for forming size-and position-invariant object representations. J. of Computational Neuroscience, 2:45–62, 1995.
M.I. Posner, C.R.R. Snyder, and B.J. Davidson. Attention and the detection of signals. J. Exp. Psychol., 109:160–174, 1980.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Heinke, D., Humphreys, G.W. (1997). SAIM: A model of visual attention and neglect. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020269
Download citation
DOI: https://doi.org/10.1007/BFb0020269
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63631-1
Online ISBN: 978-3-540-69620-9
eBook Packages: Springer Book Archive