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Found 18 results
Author Title [ Type(Desc)] Year
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Book
F Ashby, G. (2011).  Statistical analysis of fMRI data.
Ashby, F. G. (2019).  Statistical Analysis of fMRI Data, Second Edition. Cambridge, MA: MIT Press.
Townsend, J. T., & F Ashby G. (1983).  Stochastic modeling of elementary psychological processes.
Book Chapter
Ashby, F. G., & Wenger M. J. (2023).  Statistical decision theory. In F. G. Ashby, H. Colonius, & E. Dzhafarov (Eds.), The new handbook of mathematical psychology, Volume 3 (pp. 265-310). Cambridge University Press.
Journal Article
W Maddox, T., & F Ashby G. (1998).  Selective attention and the formation of linear decision boundaries: Comment on McKinley and Nosofsky (1996). Journal of Experimental Psychology: Human Perception & Performance. 24, 301-321.
J Filoteo, V., Paul E. J., F Ashby G., Frank G. K. W., Helie S., Rockwell R., et al. (2014).  Simulating category learning and set shifting deficits in patients weight-restored from anorexia nervosa. Neuropsychology. 28(5), 741-51.
Helie, S., Paul E. J., & F Ashby G. (2012).  Simulating the effects of dopamine imbalance on cognition: From positive affect to Parkinson's disease. Neural Networks. 32, 74-85.
F Ashby, G., & Ell S. W. (2002).  Single versus multiple systems of learning and memory. Stevens' handbook of experimental psychology.
Turner, B. O., Mumford J. A., Poldrack R. A., & F Ashby G. (2012).  Spatiotemporal activity estimation for multivoxel pattern analysis with rapid event-related designs. NeuroImage. 62(3), 1429-1438.
Ashby, F. G., & Bamber D. (2022).  State trace analysis: What it can and cannot do. Journal of Mathematical Psychology. 108, 102655.
F Ashby, G. (2014).  Is state-trace analysis an appropriate tool for assessing the number of cognitive systems?. Psychonomic Bulletin & Review. 21(4), 935-946.
Ashby, F. G. (2019).  State-trace analysis misinterpreted and misapplied: Reply to Stephens, Matzke, and Hayes (2019). Journal of Mathematical Psychology. 91, 195-200.
F Ashby, G., & W Maddox T. (1998).  Stimulus categorization. Measurement, judgment, and decision making. 251–301.
F Ashby, G. (1989).  Stochastic general recognition theory. Human information processing: Measures, mechanisms, and models. 435–457.
Ashby, F. G. (2000).  A stochastic version of general recognition theory. Journal of Mathematical Psychology. 44, 310–329.
Balakrishnan, JD., & F Ashby G. (1991).  Is subitizing a unique numerical ability?. Perception & Psychophysics. 50, 555–564.
Balakrishnanl, JD., & F Ashby G. (1992).  Subitizing: Magical numbers or mere superstition?. Psychological Research. 54, 80–90.
F Ashby, G., Waldron E. M., W Lee W., & Berkman A. (2001).  Suboptimality in human categorization and identification. Journal of Experimental Psychology: General. 130, 77.