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Modeling Linearly- and Nonlinearly-Separable Category Learning in Patients with Amnesia, Huntington's Disease, or Parkinson's Disease: The Role of the Hippocampus and Basal Ganglia.

 W. Todd Maddox, J. Vincent Filoteo and Jennifer Davis
  
 

Abstract:
Category learning was investigated in amnesiac, Huntington's disease (HD) and Parkinson's disease (PD) patients. Subjects were asked to categorize stimuli that were constructed from a horizontal and vertical line into one of two categories. In the nonlinearly-separable (NLS) condition, correct classification was based on a non-linear relationship between the line lengths. In the linearly-separable (LS) condition, correct classification was based on a simple linear relationship between the line lengths. All other procedural aspects were fixed across conditions (e.g., optimal accuracy, nature of the feedback, response requirements, etc). Each subject completed 6-100 trial blocks in each condition, and single-subject analyses were performed. The results suggested that (a) amnesiacs were not impaired in either the NLS or LS conditions, (b) HD and PD patients were impaired in both the NLS and LS conditions, and (c) HD and PD patients showed a larger impairment in the LS, than in the NLS condition. These findings further support the notion that the hippocampus in not involved in category learning, whereas the basal ganglia may play an intricate role. These data also provide a first step toward identifying potential relationships between the locus of brain lesions and the learning of different types of categorization decision rules.

 
 


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