Learning sound categories: A neural model and supporting experiments

Acoustical Science and Technology

Volumn 23, Issue 4, 2002, Pages 213-220

  Guenther, Frank H ^a   Bohland, Jason W ^b  

^a BOSTON UNIVERSITY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Auditory cortex; Category learning; Vowel perception

Indexed keywords

NEURAL MODELING;

AUDITION; COMPUTER SIMULATION; LINGUISTICS; MAGNETIC RESONANCE IMAGING; NEUROPHYSIOLOGY; SPEECH PROCESSING;

ACOUSTIC SIGNAL PROCESSING;

EID: 0036630662     PISSN: 13463969     EISSN: None     Source Type: Journal    
DOI: 10.1250/ast.23.213     Document Type: Article

References (14)

1. Human adults and human infants show a 'perceptual magnet effect' for the prototypes of speech categories, monkeys do not
2. Linguistic experience alters phonetic perception in infants by 6 months of age
3. The perceptual magnet effect as an emergent property of neural map formation
4. Effects of categorization and discrimination training on auditory perceptual space
5. The representation of prototypical and non-prototypical vowels in peri-sylvian cortical areas
6. The effects of early visual experience on the cat's visual cortex and their possible explanation by Hebb synapses
7. Functional reorganization of primary somatosensory cortex in adult owl monkeys after behaviorally controlled tactile stimulation
8. Plasticity in the frequency representation of primary auditory cortex following discrimination training in adult owl monkeys
9. Self-organization of orientation sensitive cells in the striata cortex
10. Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors
11. Self-organized formation of topologically correct feature maps
12. Controlling the magnification factor of self-organizing feature maps
13. Population coding of visual stimuli by cortical neurons tuned to more than one dimension
14. MRI-based topographic parcellation of human neocortex: An anatomically specified method with estimate of reliability