Behavioral and neural aspects of the spatial processing of conspecifics signals in the electrosensory system.

2019 ◽  
Vol 133 (3) ◽  
pp. 282-296
Author(s):  
Oak E. Milam ◽  
Keshav L. Ramachandra ◽  
Gary Marsat
Author(s):  
Oak Milam ◽  
Keshav L. Ramachandra ◽  
Gary Marsat

Localizing the source of a signal is often as important as deciphering the signal’s message. Localization mechanisms must cope with the challenges of representing the spatial information of weak, noisy signals. Comparing these strategies across modalities and model systems allows a broader understanding of the general principles shaping spatial processing. In this review we focus on the electrosensory system of knifefish and provide an overview of our current understanding of spatial processing in this system, in particular, localization of conspecific signals. We argue that many mechanisms observed in other sensory systems, such as the visual or auditory systems, have comparable implementations in the electrosensory system. Our review therefore describes a field of research with unique opportunities to provide new insights into the principles underlying spatial processing.


Author(s):  
Oak Milam ◽  
Keshav L. Ramachandra ◽  
Gary Marsat

Localizing the source of a signal is often as important as deciphering the signal’s message. Localization mechanisms must cope with the challenges of representing the spatial information of weak, noisy signals. Comparing these strategies across modalities and model systems allows a broader understanding of the general principles shaping spatial processing. In this review we focus on the electrosensory system of knifefish and provide an overview of our current understanding of spatial processing in this system, in particular, localization of conspecific signals. We argue that many mechanisms observed in other sensory systems, such as the visual or auditory systems, have comparable implementations in the electrosensory system. Our review therefore describes a field of research with unique opportunities to provide new insights into the principles underlying spatial processing.


Author(s):  
Hao Zhou ◽  
Fen Chen ◽  
Zongju Peng ◽  
Gangyi Jiang ◽  
Mei Yu ◽  
...  

2011 ◽  
Vol 1 (2) ◽  
pp. 91-100
Author(s):  
Yevgeny Beiderman ◽  
Yaniv Azani ◽  
Yoni Cohen ◽  
Chen Nisankoren ◽  
Mina Teicher ◽  
...  
Keyword(s):  

1988 ◽  
Vol 84 (S1) ◽  
pp. S16-S16
Author(s):  
David V. Wyllie ◽  
Brian G. Ferguson ◽  
Garry C. Speechley

2021 ◽  
pp. 1-27
Author(s):  
Xiaopeng Ji ◽  
Charlene W. Compher ◽  
Sharon Y. Irving ◽  
Jinyoung Kim ◽  
David F. Dinges ◽  
...  

Abstract Objective: To examine associations between serum micronutrients and neurobehavioral function and the mediating role of sleep quality in early adolescents. Design: In this cross-sectional study, peripheral blood samples were analyzed for iron and zinc levels. The Pittsburgh Sleep Quality Index and Penn Computerized Neurocognitive Battery were used to assess sleep quality and neurobehavioral function, respectively. The generalized linear regressions (bootstrap) were performed to estimate the associations. Setting: Jintan, China Participants: 226 adolescents (106 females) from the Jintan Child Cohort study. Results: Adolescents with low iron (< 75 ug/dl) (OR=1.29, p=0.04) and low zinc (< 70 ug/dl) (OR=1.58, p<0.001) were associated with increased odds for poor sleep quality. Adolescents with low iron and zinc were associated with fast (Iron: β=−1353.71, p=0.002, zinc: β=−2262.01, p=0.02) but less-accurate (Iron: β=−0.97, p=0.04; zinc: β=−1.76, p=0.04) performance on nonverbal reasoning task and poor sleep quality partially mediated the associations between low iron/zinc and nonverbal reasoning (p<0.05). Additionally, low iron was associated with a slower reaction on spatial processing task (β=276.94, p=0.04), and low zinc was associated with fast (β=−1781.83, p=0.03) but error-prone performance (β=−1.79, p=0.04) on spatial processing ability and slower reaction speed (β=12.82, p=0.03) on the attention task. We observed similar trends using a cutoff point of 75 ug/dl for low serum zinc, except for the association with attention task speed (p>0.05). Conclusion: Iron and zinc deficiencies may possibly be associated with poor sleep and neurobehavioral function among early adolescents. Poor sleep may partially mediate the relationship between micronutrients and neurobehavioral function.


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