Neural network models of categorical perception. Export

@article{citeulike:1133918, abstract = {Studies of the categorical perception (CP) of sensory continua have a long and rich history in psychophysics. In 1977, Macmillan, Kaplan, and Creelman introduced the use of signal detection theory to CP studies. Anderson and colleagues simultaneously proposed the first neural model for CP, yet this line of research has been less well explored. In this paper, we assess the ability of neural-network models of CP to predict the psychophysical performance of real observers with speech sounds and artificial/novel stimuli. We show that a variety of neural mechanisms are capable of generating the characteristics of CP. Hence, CP may not be a special model of perception but an emergent property of any sufficiently powerful general learning system.}, address = {Department of Electronics and Computer Science, University of Southampton, England. rid@ecs.soton.ac.uk}, author = {Damper, R. I. and Harnad, S. R.}, citeulike-article-id = {1133918}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/10883589}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=10883589}, issn = {0031-5117}, journal = {Percept Psychophys}, keywords = {categories, nn, projectwpm}, month = {May}, number = {4}, pages = {843--867}, posted-at = {2007-03-01 16:38:47}, priority = {0}, title = {Neural network models of categorical perception.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/10883589}, volume = {62}, year = {2000} }

TY - JOUR ID - citeulike:1133918 L3 - citeulike-article-id:1133918 N2 - Studies of the categorical perception (CP) of sensory continua have a long and rich history in psychophysics. In 1977, Macmillan, Kaplan, and Creelman introduced the use of signal detection theory to CP studies. Anderson and colleagues simultaneously proposed the first neural model for CP, yet this line of research has been less well explored. In this paper, we assess the ability of neural-network models of CP to predict the psychophysical performance of real observers with speech sounds and artificial/novel stimuli. We show that a variety of neural mechanisms are capable of generating the characteristics of CP. Hence, CP may not be a special model of perception but an emergent property of any sufficiently powerful general learning system. IS - 4 JF - Percept Psychophys SN - 0031-5117 AD - Department of Electronics and Computer Science, University of Southampton, England. rid@ecs.soton.ac.uk EP - 867 TI - Neural network models of categorical perception. VL - 62 SP - 843 KW - categories KW - nn KW - projectwpm AU - Damper, RI AU - Harnad, SR PY - 2000/05// UR - http://view.ncbi.nlm.nih.gov/pubmed/10883589 ER -