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AP: It s Unfair That Blacks Are Given Bonus Points On A Cognitive Test For Being Black | Blog Posts

… Race-based adjustments for neurology – known as “Heaton norms” – were designed in the early 1990s by Dr Robert Heaton to estimate how socioeconomic factors affect someone’s health. They are widely used, but in recent years, scientists in the field have begun to recognize the limitations of the normative comparison groups they have used for years. The small sample group of Blacks Heaton chose to create his adjustment protocol came entirely from San Diego, a military town where the Black population hardly reflected the diversity of Blacks across the US. If San Diego is like Honolulu, another Navy town, blacks in San Diego likely did above the national black average: black students score quite high in Hawaii.

Wisconsin Card Sorting Essay - 518 Words

Wisconsin Card Sorting Essay 518 Words3 Pages Participants The sample for the present study consisted of sixty-seven (54 females, 13 males) participants whose age range was from 18-27 years. However, this sample was part of a larger sample of 191 undergraduate students of the University of Western Ontario in a developmental psychology course. However, 124 participants were excluded from due to the incompletion of the language section of the childhood questionnaire or Wisconsin Card Sorting task, or not being bilingual. Of the 67 participants, 13% were Asian-Canadian, 6% were African-Canadian, 66% were Caucasian, 9% were of mixed ethnicity, and 6% identified as ‘other’. The bilingual participants were split into two groups based on their total proficiency scores, the more proficient bilinguals (N = 30) and the less proficient bilinguals (N = 37). This was determined through the language proficiency section of the childhood questionnaire. Individuals with a total proficie

PAR releases new digital options for psychological assessment

PAR releases new digital options for psychological assessment News provided by Share this article Share this article LUTZ, Fla., March 9, 2021 /PRNewswire/ Providing more options for psychologists to assess remotely or with increased social distancing has been a major focus of the first part of this year for PAR, Inc. Since the beginning of 2021, the psychological assessment company has released an updated software version of the Personality Assessment Inventory™ (PAI ®), as well as online versions of the Wisconsin Card Sorting Test ® (WCST), and the Michigan Alcoholism Screening Test (MAST) on ChecKIT. We have always prided ourselves on creating the most up-to-date assessment tools for those in the mental health industry, said Kristin Greco, PAR CEO. This year, we focused on creating ways to put our most popular and important products into formats that allow clinicians to do the work they need to serve their clients while providing options to the traditional paper-an

San Diego Community News Group - Salk s simulated system could help develop better artificial intelligence treatments for brain disorders

San Diego Community News Group Published - 12/19/20 - 09:30 AM | 6311 views | 0   | 37  Terrence Sejnowski, Kay Tye and Ben Tsuda. Credit: Salk Institute slideshow Getting computers to “think” like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what’s been learned. This ability to be adaptive has been hard to replicate in machines.  Now, Salk researchers have used a computational model of brain activity to simulate this process more accurately than ever before. The new model mimics how the brain’s prefrontal cortex uses a phenomenon known as “gating” to control the flow of information between different areas of neurons. It not only sheds light on the human brain, but could also inform the design of new artificial intelligence programs. 

New model of brain activity could inform the design of improved artificial intelligence systems

New model of brain activity could inform the design of improved artificial intelligence systems Getting computers to think like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new situations and constantly refining what s been learned. This ability to be adaptive has been hard to replicate in machines. Now, Salk researchers have used a computational model of brain activity to simulate this process more accurately than ever before. The new model mimics how the brain s prefrontal cortex uses a phenomenon known as gating to control the flow of information between different areas of neurons. It not only sheds light on the human brain, but could also inform the design of new artificial intelligence programs.

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