scholarly journals Orientation-specificity in kinesthetic spatial learning: The role of multiple orientations

1987 ◽  
Vol 15 (3) ◽  
pp. 225-229 ◽  
Author(s):  
Clark C. Presson ◽  
Nina DeLange ◽  
Mark D. Hazelrigg
2007 ◽  
Author(s):  
Emily Kern ◽  
David H. Uttal ◽  
Natalya Murashev ◽  
Linda Liu Hand
Keyword(s):  

Stress ◽  
2013 ◽  
Vol 16 (6) ◽  
pp. 638-646 ◽  
Author(s):  
Joerg Brandewiede ◽  
Mira Jakovcevski ◽  
Oliver Stork ◽  
Melitta Schachner

2002 ◽  
Vol 12 ◽  
pp. 374-375
Author(s):  
E. Elvander ◽  
P.A. Schött ◽  
J. Kehr ◽  
P. Mannström ◽  
B. Bjelke ◽  
...  

2014 ◽  
Vol 1587 ◽  
pp. 112-118 ◽  
Author(s):  
Majid Taati ◽  
Mehrnoush Moghaddasi ◽  
Masoumeh Esmaeili ◽  
Soheila Pourkhodadad ◽  
Hassan Nayebzadeh

2012 ◽  
Vol 24 (3) ◽  
pp. 744-770 ◽  
Author(s):  
Ai Miyamoto ◽  
Jun Hasegawa ◽  
Meihong Zheng ◽  
Osamu Hoshino

In visual information processing, feedforward projection from primary to secondary visual cortex (V1-to-V2) is essential for integrating combinations of oriented bars in order to extract angular information embedded within contours that represent the shape of objects. For feedback (V2-to-V1) projection, two distinct types of pathways have been observed: clustered projection and diffused projection. The former innervates V1 domains with a preferred orientation similar to that of V2 cells of origin. In contrast, the latter innervates without such orientation specificity. V2 cells send their axons to V1 domains with both similar and dissimilar orientation preferences. It is speculated that the clustered feedback projection has a role in contour integration. The role of the diffused feedback projection, however, remains to be seen. We simulated a minimal, functional V1-V2 neural network model. The diffused feedback projection contributed to achieving ongoing-spontaneous subthreshold membrane oscillations in V1 cells, thereby reducing the reaction time of V1 cells to a pair of bars that represents specific angular information. Interestingly, the feedback influence took place even before V2 responses, which might stem largely from ongoing-spontaneous signaling from V2. We suggest that the diffusive feedback influence from V2 could act early in V1 responses and accelerate their reaction speed to sensory stimulation in order to rapidly extract angular information.


1998 ◽  
Vol 5 (4) ◽  
pp. 317-330 ◽  
Author(s):  
Kisun Jun ◽  
Gildon Choi ◽  
Sung-Gu Yang ◽  
Kwan Yong Choi ◽  
Hyun Kim ◽  
...  

To define the physiological role of IP33-kinase(A) in vivo, we have generated a mouse strain with a null mutation of the IP33-kinase(A) locus by gene targeting. Homozygous mutant mice were fully viable, fertile, apparently normal, and did not show any morphological anomaly in brain sections. In the mutant brain, the IP4 level was significantly decreased whereas the IP3 level did not change, demonstrating a major role of IP33-kinase(A) in the generation of IP4. Nevertheless, no significant difference was detected in the hippocampal neuronal cells of the wild-type and the mutant mice in the kinetics of Ca2+ regulation after glutamate stimulation. Electrophysiological analyses carried out in hippocampal slices showed that the mutation significantly enhanced the LTP in the hippocampal CA1 region, but had no effect on the LTP in dentate gyrus (DG). No difference was noted, however, between the mutant and the wild-type mice in the Morris water maze task. Our results indicate that IP33-kinase(A) may play an important role in the regulation of LTP in hippocampal CA1 region through the generation of IP4, but the enhanced LTP in the hippocampal CA1 does not affect spatial learning and memory.


2009 ◽  
Vol 96 (1) ◽  
pp. 128-134 ◽  
Author(s):  
Marna S. Costanzo ◽  
Nigel C. Bennett ◽  
Heike Lutermann

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