Function of striate and temporal cortex in the tree shrew.

1971 ◽  
Vol 74 (1, Pt.2) ◽  
pp. 1-29 ◽  
Author(s):  
H. Killackey ◽  
M. Snyder ◽  
I. T. Diamond
Keyword(s):  
2009 ◽  
Vol 20 (4) ◽  
pp. 997-1011 ◽  
Author(s):  
R. D. Chomsung ◽  
H. Wei ◽  
J. D. Day-Brown ◽  
H. M. Petry ◽  
M. E. Bickford

1979 ◽  
Vol 4 (3) ◽  
pp. 327-332
Author(s):  
Peter G. Kaufmann ◽  
Paul S. Blum ◽  
George G. Somjen

Author(s):  
J. P. Brunschwig ◽  
R. M. McCombs ◽  
R. Mirkovic ◽  
M. Benyesh-Melnick

A new virus, established as a member of the herpesvirus group by electron microscopy, was isolated from spontaneously degenerating cell cultures derived from the kidneys and lungs of two normal tree shrews. The virus was found to replicate best in cells derived from the homologous species. The cells used were a tree shrew cell line, T-23, which was derived from a spontaneous soft tissue sarcoma. The virus did not multiply or did so poorly for a limited number of passages in human, monkey, rodent, rabbit or chick embryo cells. In the T-23 cells, the virus behaved as members of the subgroup B of herpesvirus, in that the virus remained primarily cell associated.


1987 ◽  
Vol 116 (3_Suppl) ◽  
pp. S180-S181
Author(s):  
G. FLÜGGE ◽  
E. FUCHS ◽  
R. KNUPPEN

2019 ◽  
Author(s):  
Sushrut Thorat

A mediolateral gradation in neural responses for images spanning animals to artificial objects is observed in the ventral temporal cortex (VTC). Which information streams drive this organisation is an ongoing debate. Recently, in Proklova et al. (2016), the visual shape and category (“animacy”) dimensions in a set of stimuli were dissociated using a behavioural measure of visual feature information. fMRI responses revealed a neural cluster (extra-visual animacy cluster - xVAC) which encoded category information unexplained by visual feature information, suggesting extra-visual contributions to the organisation in the ventral visual stream. We reassess these findings using Convolutional Neural Networks (CNNs) as models for the ventral visual stream. The visual features developed in the CNN layers can categorise the shape-matched stimuli from Proklova et al. (2016) in contrast to the behavioural measures used in the study. The category organisations in xVAC and VTC are explained to a large degree by the CNN visual feature differences, casting doubt over the suggestion that visual feature differences cannot account for the animacy organisation. To inform the debate further, we designed a set of stimuli with animal images to dissociate the animacy organisation driven by the CNN visual features from the degree of familiarity and agency (thoughtfulness and feelings). Preliminary results from a new fMRI experiment designed to understand the contribution of these non-visual features are presented.


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