Understanding failures of learning: Hebbian learning, competition for representational space, and some preliminary experimental data.

Publisher Summary This chapter discusses the reason of difficulty in paired associate learning in amnesics. In an experiment described in the chapter, the subject receives a list of, say, 12 word pairs (including, for example, locomotive-dishtowel and table-banana, among others). After a slight delay, the experimenter presents the first word in one of the pairs, and asks the subject to recall the word that was previously paired with it in the experiment. Because of the subject's amnesia, the subject may not remember even that there was a list of word pairs. Nevertheless, as is standard in paired-associate learning, the subject is encouraged to guess a response. Given the arbitrary pairing of the words, table is unlikely to come to mind in the context of banana as a cue, and hence the stimulus is likely to elicit some other response. If learning is Hebbian, it is this response that will be strengthened, thereby leading to interference. There is experimental support for the idea that forcing amnesics to make their own responses to items leads to interference.

[1]  Joel L. Davis,et al.  An Introduction to Neural and Electronic Networks , 1995 .

[2]  B. P. Frost,et al.  Decelerated Synthesized Speech as a Means of Shaping Speed of Auditory Processing of Children with Delayed Language , 1982, Perceptual and motor skills.

[3]  Steven L. Miller,et al.  Temporal Processing Deficits of Language-Learning Impaired Children Ameliorated by Training , 1996, Science.

[4]  P Alvarez,et al.  Memory consolidation and the medial temporal lobe: a simple network model. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[5]  N. Cohen,et al.  The impaired learning of semantic knowledge following bilateral medial temporal-lobe resection , 1988, Brain and Cognition.

[6]  Steven L. Miller,et al.  Language Comprehension in Language-Learning Impaired Children Improved with Acoustically Modified Speech , 1996, Science.

[7]  James L. McClelland,et al.  Understanding normal and impaired word reading: computational principles in quasi-regular domains. , 1996, Psychological review.

[8]  James L. McClelland,et al.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.

[9]  R. Morris Parallel Distributed Processing: Implications for Psychology and Neurobiology , 1990 .

[10]  Teuvo Kohonen,et al.  The self-organizing map , 1990, Neurocomputing.

[11]  Endel Tulving,et al.  The Role of Repetition and Associative Interference in New Semantic Learning in Amnesia: A Case Experiment , 1993, Journal of Cognitive Neuroscience.

[12]  David E. Rumelhart,et al.  Brain style computation: learning and generalization , 1990 .

[13]  Geoffrey E. Hinton,et al.  Learning distributed representations of concepts. , 1989 .

[14]  P. Milner A cell assembly theory of hippocampal amnesia , 1989, Neuropsychologia.

[15]  Bruce L. McNaughton,et al.  Why do we have a special learning system in the hippocampus?,(Abstract 580) , 1993 .

[16]  James L. McClelland,et al.  A distributed, developmental model of word recognition and naming. , 1989, Psychological review.

[17]  James L. McClelland,et al.  Rethinking infant knowledge: toward an adaptive process account of successes and failures in object permanence tasks. , 1997, Psychological review.

[18]  Barbara A. Wilson,et al.  When implicit learning fails: Amnesia and the problem of error elimination , 1994, Neuropsychologia.

[19]  Terrence J. Sejnowski,et al.  Parallel Networks that Learn to Pronounce English Text , 1987, Complex Syst..