Activation of an apomorphine behavior pattern by cocaine: a new behavioral test for drug substitution

1993 ◽  
Vol 46 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Robert J. Carey ◽  
Ernest N. Damianopoulos
Keyword(s):  
Behavior Pattern ◽  
Behavioral Test ◽  
Drug Substitution

Research on behavior recognition based on feature fusion of automatic coder and recurrent neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8927-8935
Author(s):  
Bing Zheng ◽  
Dawei Yun ◽  
Yan Liang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Behavior Pattern ◽  
Rapid Development ◽  
Video Data ◽  
Support Vector ◽  
Behavior Recognition ◽  
Learning Methods ◽  
The Impact ◽  
Internet Of Things Technology

Under the impact of COVID-19, research on behavior recognition are highly needed. In this paper, we combine the algorithm of self-adaptive coder and recurrent neural network to realize the research of behavior pattern recognition. At present, most of the research of human behavior recognition is focused on the video data, which is based on the video number. At the same time, due to the complexity of video image data, it is easy to violate personal privacy. With the rapid development of Internet of things technology, it has attracted the attention of a large number of experts and scholars. Researchers have tried to use many machine learning methods, such as random forest, support vector machine and other shallow learning methods, which perform well in the laboratory environment, but there is still a long way to go from practical application. In this paper, a recursive neural network algorithm based on long and short term memory (LSTM) is proposed to realize the recognition of behavior patterns, so as to improve the accuracy of human activity behavior recognition.

The ”true me”—one or many?

2019 ◽  
Author(s):  
Iris Berent ◽  
Melanie Platt
Keyword(s):  
Free Will ◽  
Optimality Theory ◽  
The Self ◽  
True Self ◽  
Behavioral Test ◽  
Brain Scan ◽  
Moral Behaviors ◽  
The Brain ◽  
Constraint Ranking

Recent results suggest that people hold a notion of the true self, distinct from the self. Here, we seek to further elucidate the “true me”—whether it is good or bad, material or immaterial. Critically, we ask whether the true self is unitary. To address these questions, we invited participants to reason about John—a character who simultaneously exhibits both positive and negative moral behaviors. John’s character was gauged via two tests--a brain scan and a behavioral test, whose results invariably diverged (i.e., one test indicated that John’s moral core is positive and another negative). Participants assessed John’s true self along two questions: (a) Did John commit his acts (positive and negative) freely? and (b) What is John’s essence really? Responses to the two questions diverged. When asked to evaluate John’s moral core explicitly (by reasoning about his free will), people invariably descried John’s true self as good. But when John’s moral core was assessed implicitly (by considering his essence), people sided with the outcomes of the brain test. These results demonstrate that people hold conflicting notions of the true self. We formally support this proposal by presenting a grammar of the true self, couched within Optimality Theory. We show that the constraint ranking necessary to capture explicit and implicit view of the true self are distinct. Our intuitive belief in a true unitary “me” is thus illusory.

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