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Connection

Jack Cowan to Models, Neurological

This is a "connection" page, showing publications Jack Cowan has written about Models, Neurological.
Connection Strength

2.058
  1. Evolutionary constraints on visual cortex architecture from the dynamics of hallucinations. Proc Natl Acad Sci U S A. 2012 Jan 10; 109(2):606-9.
    View in: PubMed
    Score: 0.313
  2. Generalized spin models for coupled cortical feature maps obtained by coarse graining correlation based synaptic learning rules. J Math Biol. 2012 Dec; 65(6-7):1149-86.
    View in: PubMed
    Score: 0.311
  3. Spontaneous pattern formation and pinning in the primary visual cortex. J Physiol Paris. 2009 Jan-Mar; 103(1-2):52-68.
    View in: PubMed
    Score: 0.262
  4. Field-theoretic approach to fluctuation effects in neural networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2007 May; 75(5 Pt 1):051919.
    View in: PubMed
    Score: 0.228
  5. Simultaneous constraints on pre- and post-synaptic cells couple cortical feature maps in a 2D geometric model of orientation preference. Math Med Biol. 2006 Jun; 23(2):119-38.
    View in: PubMed
    Score: 0.211
  6. Symmetry induced coupling of cortical feature maps. Phys Rev Lett. 2004 May 07; 92(18):188101.
    View in: PubMed
    Score: 0.184
  7. An amplitude equation approach to contextual effects in visual cortex. Neural Comput. 2002 Mar; 14(3):493-525.
    View in: PubMed
    Score: 0.158
  8. Spatial decorrelation in orientation-selective cortical cells. Neural Comput. 1998 Oct 01; 10(7):1779-95.
    View in: PubMed
    Score: 0.125
  9. Resonance effect for neural spike time reliability. J Neurophysiol. 1998 Sep; 80(3):1427-38.
    View in: PubMed
    Score: 0.124
  10. Avalanches in a stochastic model of spiking neurons. PLoS Comput Biol. 2010 Jul 08; 6(7):e1000846.
    View in: PubMed
    Score: 0.071
  11. Neural nets. Q Rev Biophys. 1988 Aug; 21(3):365-427.
    View in: PubMed
    Score: 0.062
  12. What geometric visual hallucinations tell us about the visual cortex. Neural Comput. 2002 Mar; 14(3):473-91.
    View in: PubMed
    Score: 0.010
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.