Curved feature metrics in models of visual cortex

Neurocomputing

Volumn 44-46, Issue , 2002, Pages 533-539

  Mayer, Norbert ^a,c   Herrmann, J Michael ^a,b   Geisel, Theo ^a  

^a MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

^c GMD Japan Research Laboratory   (Japan)

Author keywords

Neural maps; Orientation columns; Riemannian geometry; Visual cortex

Indexed keywords

ALGORITHMS; MAPS; VISION;

CORTIAL AREA;

NEUROLOGY;

ALGORITHM; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; LEARNING; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; SPATIAL FREQUENCY DISCRIMINATION; STIMULUS; VISUAL CORTEX; VISUAL ORIENTATION;

EID: 0036066020     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(02)00417-4     Document Type: Article

References (7)

1. Spatial decorrelation in orientation-selective cortical cells
2. A cortical interpretation of ASSOMs
3. Singularities in primate orientation maps
4. Analyzing phase transitions in high-dimensional self-organizing maps
5. Influence of experience on orientation maps in cat visual cortex
6. The development of topography in the visual cortex: A review of models
7. Spontaneous pinwheel annihilation during visual development