ModelDB: Models that contain Perceptual Categories

Model Concept: Perceptual Categories

The process of perceptual categorization involves higher-level NN processing of continuous sensory information into discrete categories, e.g. resolving wavelengths of light into hues of color, or gradual differences of auditory frequencies into musical intervals.

Distributed representation of perceptual categories in the auditory cortex (Kim and Bao 2008)
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)

Top authors for Perceptual Categories:

Kim H (1)
Bao S (1)
Leon PS (1)
Vanzetta I (1)
Masson GS (1)
Perrinet LU (1)

Top concepts studied with Perceptual Categories:

Audition (1)
Pattern Recognition (1)
Temporal Pattern Generation (1)
Spatio-temporal Activity Patterns (1)
Parameter Fitting (1)
Methods (1)
Noise Sensitivity (1)
Envelope synthesis (1)
Sensory processing (1)
Motion Detection (1)

Top references cited by these models:

Bao S, Chan VT, Merzenich MM. (2001). Cortical remodelling induced by activity of ventral tegmental dopamine neurons. Nature. 412 (1)
Green DM, Swets JA. (1966). Signal Detection Theory and Psychophysics.. (1)
Freedman DJ, Riesenhuber M, Poggio T, Miller EK. (2001). Categorical representation of visual stimuli in the primate prefrontal cortex. Science (New York, N.Y.). 291 (1)
Anderson JA, Silverstein JW, Ritz SA, Jones RS. (1977). Distinctive features, categorical perception, and probability learning: some applications of a neural model. Psychol. Rev.. 84 (1)
O'Kusky J, Colonnier M. (1982). A laminar analysis of the number of neurons, glia, and synapses in the adult cortex (area 17) of adult macaque monkeys. The Journal of comparative neurology. 210 (1)

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