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Items: 1 to 20 of 465

1.

Neural computation of visual imaging based on Kronecker product in the primary visual cortex.

Songnian Z, Qi Z, Zhen J, Guozheng Y, Li Y.

BMC Neurosci. 2010 Mar 26;11:43. doi: 10.1186/1471-2202-11-43.

2.

Receptive field self-organization in a model of the fine structure in v1 cortical columns.

Lücke J.

Neural Comput. 2009 Oct;21(10):2805-45. doi: 10.1162/neco.2009.07-07-584.

PMID:
19548804
3.

The representation of visual depth perception based on the plenoptic function in the retina and its neural computation in visual cortex V1.

Songnian Z, Qi Z, Chang L, Xuemin L, Shousi S, Jun Q.

BMC Neurosci. 2014 Apr 23;15:50. doi: 10.1186/1471-2202-15-50.

4.

Is the early visual system optimised to be energy efficient?

Vincent BT, Baddeley RJ, Troscianko T, Gilchrist ID.

Network. 2005 Jun-Sep;16(2-3):175-90.

PMID:
16411495
5.

Synaptic Correlates of Low-Level Perception in V1.

Gerard-Mercier F, Carelli PV, Pananceau M, Troncoso XG, Frégnac Y.

J Neurosci. 2016 Apr 6;36(14):3925-42. doi: 10.1523/JNEUROSCI.4492-15.2016.

PMID:
27053201
6.

What is the optimal architecture for visual information routing?

Wolfrum P, von der Malsburg C.

Neural Comput. 2007 Dec;19(12):3293-309.

PMID:
17970654
7.

Bottom-up and top-down dynamics in visual cortex.

Schummers J, Sharma J, Sur M.

Prog Brain Res. 2005;149:65-81. Review.

PMID:
16226577
9.

Extraction of surface-related features in a recurrent model of V1-V2 interactions.

Weidenbacher U, Neumann H.

PLoS One. 2009 Jun 15;4(6):e5909. doi: 10.1371/journal.pone.0005909.

10.

Super resolution: another computational role of short-range horizontal connection in the primary visual cortex.

Sasaki H, Satoh S.

Neural Netw. 2009 May;22(4):362-72. doi: 10.1016/j.neunet.2008.12.001. Epub 2008 Dec 25.

PMID:
19150217
11.

A hexagonal orthogonal-oriented pyramid as a model of image representation in visual cortex.

Watson AB, Ahumada AJ Jr.

IEEE Trans Biomed Eng. 1989 Jan;36(1):97-106.

PMID:
2921066
12.

The extraction of features and disparities from images by a model based on the neurological organisation of the visual system.

Harvey RJ.

Vision Res. 2008 May;48(11):1297-306. doi: 10.1016/j.visres.2008.02.025. Epub 2008 Apr 15.

13.
14.

Extraction of visual motion and optic flow.

Fukushima K.

Neural Netw. 2008 Jun;21(5):774-85. doi: 10.1016/j.neunet.2007.12.049. Epub 2008 Jan 12.

PMID:
18280109
15.

Topology and dynamics of the canonical circuit of cat V1.

Binzegger T, Douglas RJ, Martin KA.

Neural Netw. 2009 Oct;22(8):1071-8. doi: 10.1016/j.neunet.2009.07.011. Epub 2009 Jul 18.

PMID:
19632814
16.

Replicating receptive fields of simple and complex cells in primary visual cortex in a neuronal network model with temporal and population sparseness and reliability.

Tanaka T, Aoyagi T, Kaneko T.

Neural Comput. 2012 Oct;24(10):2700-25. doi: 10.1162/NECO_a_00341. Epub 2012 Jul 30.

PMID:
22845820
17.

Spatial attention in area V4 is mediated by circuits in primary visual cortex.

Tiesinga PH, Buia CI.

Neural Netw. 2009 Oct;22(8):1039-54. doi: 10.1016/j.neunet.2009.07.010. Epub 2009 Jul 18.

PMID:
19643574
18.

A neural model of the temporal dynamics of figure-ground segregation in motion perception.

Raudies F, Neumann H.

Neural Netw. 2010 Mar;23(2):160-76. doi: 10.1016/j.neunet.2009.10.005. Epub 2009 Oct 30.

PMID:
19931405
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