Year |
Citation |
Score |
2015 |
Jiang Y, Purushothaman G, Casagrande VA. A computational relationship between thalamic sensory neural responses and contrast perception. Frontiers in Neural Circuits. 9: 54. PMID 26500504 DOI: 10.3389/fncir.2015.00054 |
1 |
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2015 |
Jiang Y, Purushothaman G, Casagrande VA. The Functional Asymmetry of ON and OFF Channels in the Perception of Contrast. Journal of Neurophysiology. jn.00560.2015. PMID 26334011 DOI: 10.1152/jn.00560.2015 |
1 |
|
2015 |
Jiang Y, Yampolsky D, Purushothaman G, Casagrande VA. Perceptual decision related activity in the lateral geniculate nucleus. Journal of Neurophysiology. 114: 717-35. PMID 26019309 DOI: 10.1152/jn.00068.2015 |
0.76 |
|
2014 |
Purushothaman G, Chen X, Yampolsky D, Casagrande VA. Neural mechanisms of coarse-to-fine discrimination in the visual cortex. Journal of Neurophysiology. 112: 2822-33. PMID 25210162 DOI: 10.1152/jn.00612.2013 |
1 |
|
2013 |
Purushothaman G, Casagrande VA. A Generalized ideal observer model for decoding sensory neural responses. Frontiers in Psychology. 4: 617. PMID 24137135 DOI: 10.3389/fpsyg.2013.00617 |
1 |
|
2013 |
Li K, Patel J, Purushothaman G, Marion RT, Casagrande VA. Retinotopic maps in the pulvinar of bush baby (Otolemur garnettii). The Journal of Comparative Neurology. 521: 3432-50. PMID 23640865 DOI: 10.1002/cne.23358 |
1 |
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2013 |
Marion R, Li K, Purushothaman G, Jiang Y, Casagrande VA. Morphological and neurochemical comparisons between pulvinar and V1 projections to V2. The Journal of Comparative Neurology. 521: 813-32. PMID 22826174 DOI: 10.1002/cne.23203 |
1 |
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2012 |
Purushothaman G, Marion R, Li K, Casagrande VA. Gating and control of primary visual cortex by pulvinar. Nature Neuroscience. 15: 905-12. PMID 22561455 DOI: 10.1038/nn.3106 |
1 |
|
2010 |
KafaligöNül H, Patel SS, Öğmen H, Bedell HE, Purushothaman G. Perceptual asynchronies and the dual-channel differential latency hypothesis Space and Time in Perception and Action. 299-395. DOI: 10.1017/CBO9780511750540.022 |
1 |
|
2009 |
Purushothaman G, Khaytin I, Casagrande VA. Quantification of optical images of cortical responses for inferring functional maps. Journal of Neurophysiology. 101: 2708-24. PMID 19225176 DOI: 10.1152/jn.90696.2008 |
1 |
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2008 |
Oğmen H, Purushothaman G, Breitmeyer BG. Metacontrast, target recovery, and the magno- and parvocellular systems: a reply to the perspective. Visual Neuroscience. 25: 611-6. PMID 18764961 DOI: 10.1017/S0952523807080649 |
1 |
|
2008 |
Purushothaman G, Bedell HE, Öǧmen H, Patel SS. Neurophysiology of compensation for time delays: Visual prediction is off track Behavioral and Brain Sciences. 31: 214. DOI: 10.1017/S0140525X0800397X |
1 |
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2008 |
Öǧmen H, Patel SS, Purushothaman G, Bedell HE. Moving backward through perceptual compensation Behavioral and Brain Sciences. 31: 212-213. DOI: 10.1017/S0140525X08003968 |
1 |
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2006 |
Purushothaman G, Scott BB, Bradley DC. An acute method for multielectrode recording from the interior of sulci and other deep brain areas. Journal of Neuroscience Methods. 153: 86-94. PMID 16316688 DOI: 10.1016/j.jneumeth.2005.10.015 |
1 |
|
2005 |
Purushothaman G, Bradley DC. Neural population code for fine perceptual decisions in area MT. Nature Neuroscience. 8: 99-106. PMID 15608633 DOI: 10.1038/nn1373 |
1 |
|
2003 |
Purushothaman G, Oğmen H, Bedell HE. Suprathreshold intrinsic dynamics of the human visual system. Neural Computation. 15: 2883-908. PMID 14629872 DOI: 10.1162/089976603322518786 |
1 |
|
2003 |
Purushothaman G, Bradley DC. Single neuron sensitivity for a fine motion discrimination task Journal of Vision. 3: 198a. DOI: 10.1167/3.9.198 |
1 |
|
2002 |
Purushothaman G, Lacassagne D, Bedell HE, Oğmen H. Effect of exposure duration, contrast and base blur on coding and discrimination of edges. Spatial Vision. 15: 341-76. PMID 12116994 DOI: 10.1163/15685680260174074 |
1 |
|
2000 |
Purushothaman G, Oğmen H, Bedell HE. Gamma-range oscillations in backward-masking functions and their putative neural correlates. Psychological Review. 107: 556-77. PMID 10941280 |
1 |
|
1998 |
Purushothaman G, Patel SS, Bedell HE, Ogmen H. Moving ahead through differential visual latency. Nature. 396: 424. PMID 9853748 DOI: 10.1038/24766 |
1 |
|
1998 |
Purushothaman G, Oğmen H, Chen S, Bedell HE. Motion deblurring in a neural network model of retino-cortical dynamics. Vision Research. 38: 1827-42. PMID 9797961 DOI: 10.1016/S0042-6989(97)00350-7 |
1 |
|
1997 |
Purushothaman G, Karayiannis NB. Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 8: 679-93. PMID 18255670 DOI: 10.1109/72.572106 |
1 |
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1997 |
Purushothaman G, Ogmen H, Bedel HE. Spatially localized stimuli generate oscillatory metacontrast masking functions Investigative Ophthalmology and Visual Science. 38: S628. |
1 |
|
1996 |
Karayiannis NB, Purushothaman G. Efficient learning algorithms for neural networks (ELEANNE): Extensions, revisions and improvements Iete Journal of Research. 42: 223-236. |
1 |
|
1995 |
Purushothaman G, Karayiannis NB. On the capacity of Feed-forward Neural Networks for fuzzy classification Intelligent Engineering Systems Through Artificial Neural Networks. 5: 253-258. |
1 |
|
1994 |
Purushothaman G, Karayiannis NB. Feed-forward neural architectures for membership estimation and fuzzy classification Artificial Neural Networks in Engineering - Proceedings (Annie'94). 4: 235-240. |
1 |
|
1994 |
Karayiannis NB, Purushothaman G. Fuzzy pattern classification using feed-forward neural networks with multilevel hidden neurons Ieee International Conference On Neural Networks - Conference Proceedings. 3: 1577-1582. |
1 |
|
1994 |
Purushothaman G, Karayiannis NB. Feed-forward neural architecture for estimating the fuzziness in non-sparse data sets Proceedings of the Ieee International Conference On Systems, Man and Cybernetics. 1: 624-628. |
1 |
|
1993 |
Karayiannis NB, Purushothaman G. Efficient learning algorithms for neural networks (ELEANNE): Extensions, revisions, and improvements Intelligent Engineering Systems Through Artificial Neural Networks. 3: 91-96. |
1 |
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