To Go or Not to Go: Exploring brain activation during response inhibition reading tasks
نویسندگان
چکیده
منابع مشابه
Transfer of response codes from choice-response to go/no-go tasks.
The present study investigated the conditions for observing the Simon effect in go/no-go tasks. The Simon effect denotes faster and more accurate responses when irrelevant stimulus location and response location correspond than when they do not correspond. In four experiments, participants performed both in a choice-response task (CRT) and in a go/no-go task, and we varied the order and the sim...
متن کاملError-related brain activation during a Go/NoGo response inhibition task.
Inhibitory control and performance monitoring are critical executive functions of the human brain. Lesion and imaging studies have shown that the inferior frontal cortex plays an important role in inhibition of inappropriate response. In contrast, specific brain areas involved in error processing and their relation to those implicated in inhibitory control processes are unknown. In this study, ...
متن کاملMapping motor inhibition: conjunctive brain activations across different versions of go/no-go and stop tasks.
Conjunction analysis methods were used in functional magnetic resonance imaging to investigate brain regions commonly activated in subjects performing different versions of go/no-go and stop tasks, differing in probability of inhibitory signals and/or contrast conditions. Generic brain activation maps highlighted brain regions commonly activated in (a) two different go/no-go task versions, (b) ...
متن کاملTo Go or Not to Go: A Case for Q-Learning at Unsignalized Intersections
Autonomous driving at intersections with traffic lights and stop signs can be handled by simple rules, however unsignalized intersections remain a challenging problem. We explore the effectiveness of using Deep Q Networks to handle such problems. Combining several recent advances in Deep RL, were we able to learn policies that surpass the performance of a commonly-used rule based approach in se...
متن کاملTo Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation
It is important for robots to be able to decide whether they can go through a space or not, as they navigate through a dynamic environment. This capability can help them avoid injury or serious damage, e.g., as a result of running into people and obstacles, getting stuck, or falling off an edge. To this end, we propose an unsupervised and a near-unsupervised method based on Generative Adversari...
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ژورنال
عنوان ژورنال: Spectrum
سال: 2019
ISSN: 2561-7842
DOI: 10.29173/spectrum52