Striatal contributions to category learning: quantitative modeling of simple linear and complex nonlinear rule learning in patients with Parkinson's disease.

@article{Maddox2001StriatalCT,
  title={Striatal contributions to category learning: quantitative modeling of simple linear and complex nonlinear rule learning in patients with Parkinson's disease.},
  author={W. Todd Maddox and J. Vincent Filoteo},
  journal={Journal of the International Neuropsychological Society : JINS},
  year={2001},
  volume={7 6},
  pages={710-27}
}
The contribution of the striatum to category learning was examined by having patients with Parkinson's disease (PD) and matched controls solve categorization problems in which the optimal rule was linear or nonlinear using the perceptual categorization task. Traditional accuracy-based analyses, as well as quantitative model-based analyses were performed. Unlike accuracy-based analyses, the model-based analyses allow one to quantify and separate the effects of categorization rule learning from… CONTINUE READING
74 Citations
74 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 74 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 74 references

A dual process model of category learning. Paper presented at the annual meeting of the Society for Mathematical Psychology, University of North Carolina

  • W. T. Hill. Maddox, J. V. Filoteo, D. C. Delis, D. P. Salmon
  • 1996
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…