Literature DB >> 2236045

A principle for the formation of the spatial structure of cortical feature maps.

K Obermayer1, H Ritter, K Schulten.   

Abstract

Orientation-selective cells in the striate cortex of higher animals are organized as a hierarchical topographic map of two stimulus features: (i) position in visual space and (ii) orientation. We show that the observed structure of the topographic map can arise from a principle of continuous mapping. For the realization of this principle we use a mathematical model that can be interpreted as an adaptive process changing a set of synaptic weights, or synaptic connection strengths, between two layers of cells. The patterns of orientation preference and selectivity generated by the model are similar to the patterns seen in the visual cortex of macaque monkey and cat and correspond to a neural projection that maps a more than two-dimensional feature space onto a two-dimensional cortical surface under the constraint that shape and position of the receptive fields of the neurons very smoothly over the cortical surface.

Mesh:

Year:  1990        PMID: 2236045      PMCID: PMC54952          DOI: 10.1073/pnas.87.21.8345

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  13 in total

1.  How patterned neural connections can be set up by self-organization.

Authors:  D J Willshaw; C von der Malsburg
Journal:  Proc R Soc Lond B Biol Sci       Date:  1976-11-12

2.  A dimension reduction framework for understanding cortical maps.

Authors:  R Durbin; G Mitchison
Journal:  Nature       Date:  1990-02-15       Impact factor: 49.962

3.  From basic network principles to neural architecture: emergence of orientation columns.

Authors:  R Linsker
Journal:  Proc Natl Acad Sci U S A       Date:  1986-11       Impact factor: 11.205

4.  Voltage-sensitive dyes reveal a modular organization in monkey striate cortex.

Authors:  G G Blasdel; G Salama
Journal:  Nature       Date:  1986 Jun 5-11       Impact factor: 49.962

5.  Sequence regularity and geometry of orientation columns in the monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Comp Neurol       Date:  1974-12-01       Impact factor: 3.215

6.  Anatomical demonstration of orientation columns in macaque monkey.

Authors:  D H Hubel; T N Wiesel; M P Stryker
Journal:  J Comp Neurol       Date:  1978-02-01       Impact factor: 3.215

7.  Self-organization of orientation sensitive cells in the striate cortex.

Authors:  C von der Malsburg
Journal:  Kybernetik       Date:  1973-12-31

8.  A model for the formation of orientation columns.

Authors:  N V Swindale
Journal:  Proc R Soc Lond B Biol Sci       Date:  1982-05-22

9.  Geometry of orientation columns in the visual cortex.

Authors:  V Braitenberg; C Braitenberg
Journal:  Biol Cybern       Date:  1979-08-01       Impact factor: 2.086

10.  Deoxyglucose mapping of the orientation column system in the striate cortex of the tree shrew, Tupaia glis.

Authors:  L C Skeen; A L Humphrey; T T Norton; W C Hall
Journal:  Brain Res       Date:  1978-03-10       Impact factor: 3.252

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  26 in total

1.  Coexistence of linear zones and pinwheels within orientation maps in cat visual cortex.

Authors:  A Shmuel; A Grinvald
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

2.  Symmetry considerations and development of pinwheels in visual maps.

Authors:  Ha Youn Lee; Mehdi Yahyanejad; Mehran Kardar
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-12       Impact factor: 11.205

3.  Scaling self-organizing maps to model large cortical networks.

Authors:  James A Bednar; Amol Kelkar; Risto Miikkulainen
Journal:  Neuroinformatics       Date:  2004

4.  Shaping of receptive fields in the visual cortex during retinal maturation.

Authors:  Norbert Mayer; J Michael Herrmann; Theo Geisel
Journal:  J Comput Neurosci       Date:  2003 Nov-Dec       Impact factor: 1.621

5.  Online learning and stimulus-driven responses of neurons in visual cortex.

Authors:  Huajin Tang; Haizhou Li; Zhang Yi
Journal:  Cogn Neurodyn       Date:  2010-12-01       Impact factor: 5.082

6.  Statistical comparison of spike responses to natural stimuli in monkey area V1 with simulated responses of a detailed laminar network model for a patch of V1.

Authors:  Malte J Rasch; Klaus Schuch; Nikos K Logothetis; Wolfgang Maass
Journal:  J Neurophysiol       Date:  2010-11-24       Impact factor: 2.714

7.  Multimap formation in visual cortex.

Authors:  Rishabh Jain; Rachel Millin; Bartlett W Mel
Journal:  J Vis       Date:  2015       Impact factor: 2.240

8.  Self-organizing maps: ordering, convergence properties and energy functions.

Authors:  E Erwin; K Obermayer; K Schulten
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

9.  Quantification of optical images of cortical responses for inferring functional maps.

Authors:  Gopathy Purushothaman; Ilya Khaytin; Vivien A Casagrande
Journal:  J Neurophysiol       Date:  2009-02-18       Impact factor: 2.714

10.  Mapping of contextual modulation in the population response of primary visual cortex.

Authors:  David M Alexander; Cees Van Leeuwen
Journal:  Cogn Neurodyn       Date:  2009-11-07       Impact factor: 5.082

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