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E. I. Rodionova

Researcher at Russian Academy of Sciences

Publications -  14
Citations -  83

E. I. Rodionova is an academic researcher from Russian Academy of Sciences. The author has contributed to research in topics: Receptive field & Visual field. The author has an hindex of 3, co-authored 13 publications receiving 63 citations.

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Two visual areas located in the middle suprasylvian gyrus (cytoarchitectonic field 7) of the cat's cortex.

TL;DR: Topographical considerations and receptive field properties allowed us to conclude that the medial part of the field 7 (included type 2 neurons) is functionally equivalent to the area V4 in the cortex of primates, while the lateral part (type 1 neurons) may correspond to the areas V4T.
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Distant cortical locations of the upper and lower quadrants of the visual field represented by neurons with elongated and radially oriented receptive fields.

TL;DR: It became obvious that neurons with radial RFs are included into the fourth extrastriate crescent with complete contralateral representation, however, in the fourth crescent, RF properties in the central visual field differed significantly from those on the periphery.
Journal Article

Neurons with visual receptive fields independent of eye position in the caudal portion of the ventral wall of the cruciate sulcus of the cat cerebral cortex

Pigarev In, +1 more
- 01 Jan 1986 - 
TL;DR: It was found that these bimodal neurons (visual and somatosensory) are located in layer VI of the cortex and their visual responses demonstrate space constancy.
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Response of Aquatic Organisms Communities to Global Climate Changes and Anthropogenic Impact: Evidence from Listvennichny Bay of Lake Baikal.

TL;DR: In this article, the response of Lake Baikal ecosystem to climate change can be traced by changes in the species composition of planktonic communities of the lake's open coasts in summer.
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[Detection of Volatile Organic Compounds Associated with Hepatocellular Carcinoma by Macrosmatic Animals: Approaches to the Search for New Tumor Markers].

TL;DR: It is suggested that the use of the ability of macrosmatic animals to compare odor mixtures combined with mouse cancer models is a promising trend in the search for new tumor markers.