Institution
University of Nevada, Reno
Education•Reno, Nevada, United States•
About: University of Nevada, Reno is a education organization based out in Reno, Nevada, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13561 authors who have published 28217 publications receiving 882002 citations. The organization is also known as: University of Nevada & Nevada State University.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: A comprehensive overview of existing indoor navigation systems is provided and the dierent techniques used for locating the user; planning a path; representing the environment; and interacting with the user are analyzed.
283 citations
••
TL;DR: In this paper, the coal-fire gas minerals (CFGM) identified included sulphur compounds and salammoniac, as well as other heavy elements found in the CFGM's are mercury, arsenic, lead, zinc, and copper.
282 citations
••
TL;DR: The data suggest that IC-IM play an important role in NO-dependent neurotransmission in the LES and PS, and may be the effectors that transduce NO signals into hyperpolarizing responses.
281 citations
••
TL;DR: The prevalence of a range of DSM‐IV psychiatric disorders in a sample of 119 4–16‐year‐old children with Williams syndrome was assessed using a structured diagnostic interview with their parents, finding a significant shift in Predominant Type of ADHD as a function of CA.
Abstract: The prevalence of a range of DSM-IV psychiatric disorders in a sample of 119 4-16-year-old children with Williams syndrome (WS) was assessed using a structured diagnostic interview with their parents. Most children (80.7%) met criteria for at least one DSM-IV diagnosis. The most prevalent diagnoses were Attention Deficit/Hyperactivity Disorder (ADHD; 64.7%) and Specific Phobia (53.8%). There was a significant shift in Predominant Type of ADHD as a function of CA, from Combined for the youngest group (ages 4-6 years) to Inattentive for the oldest group (ages 11-16 years). The prevalence of Generalized Anxiety Disorder (GAD) increased significantly with age. These findings are another step toward defining the behavioral phenotype of WS.
281 citations
••
TL;DR: The nature and basis for human colour vision have been studied extensively, and ideas and principles that have been developed to account for norms and normalization in colour vision are drawn on to consider potential similarities and differences in the representation and adaptation of faces.
Abstract: The appearance of faces can be strongly affected by the characteristics of faces viewed previously. These perceptual after-effects reflect processes of sensory adaptation that are found throughout the visual system, but which have been considered only relatively recently in the context of higher level perceptual judgements. In this review, we explore the consequences of adaptation for human face perception, and the implications of adaptation for understanding the neural-coding schemes underlying the visual representation of faces. The properties of face after-effects suggest that they, in part, reflect response changes at high and possibly face-specific levels of visual processing. Yet, the form of the after-effects and the norm-based codes that they point to show many parallels with the adaptations and functional organization that are thought to underlie the encoding of perceptual attributes like colour. The nature and basis for human colour vision have been studied extensively, and we draw on ideas and principles that have been developed to account for norms and normalization in colour vision to consider potential similarities and differences in the representation and adaptation of faces.
281 citations
Authors
Showing all 13726 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Langer | 281 | 2324 | 326306 |
Thomas C. Südhof | 191 | 653 | 118007 |
David W. Johnson | 160 | 2714 | 140778 |
Menachem Elimelech | 157 | 547 | 95285 |
Jeffrey L. Cummings | 148 | 833 | 116067 |
Bing Zhang | 121 | 1194 | 56980 |
Arturo Casadevall | 120 | 980 | 55001 |
Mark H. Ellisman | 117 | 637 | 55289 |
Thomas G. Ksiazek | 113 | 398 | 46108 |
Anthony G. Fane | 112 | 565 | 40904 |
Leonardo M. Fabbri | 109 | 566 | 60838 |
Gary H. Lyman | 108 | 694 | 52469 |
Steven C. Hayes | 106 | 450 | 51556 |
Stephen P. Long | 103 | 384 | 46119 |
Gary Cutter | 103 | 737 | 40507 |