The Digital revolution and its Impact on Human brain and behavior

2020 ◽  
Vol 22 (2) ◽  
Keyword(s):  
Human Brain ◽  
Digital Revolution ◽  
Brain And Behavior ◽  
And Behavior

scholarly journals The impact of the digital revolution on human brain and behavior: where do we stand?

2020 ◽  
Vol 22 (2) ◽  
pp. 101-111
Keyword(s):  
Human Brain ◽  
Digital Media ◽  
The Elderly ◽  
Long Distance ◽  
Digital Revolution ◽  
Internet Gaming ◽  
Neuroscience Research ◽  
Brain And Behavior ◽  
And Behavior ◽  
The Impact

This overview will outline the current results of neuroscience research on the possible effects of digital media use on the human brain, cognition, and behavior. This is of importance due to the significant amount of time that individuals spend using digital media. Despite several positive aspects of digital media, which include the capability to effortlessly communicate with peers, even over a long distance, and their being used as training tools for students and the elderly, detrimental effects on our brains and minds have also been suggested. Neurological consequences have been observed related to internet/gaming addiction, language development, and processing of emotional signals. However, given that much of the neuroscientific research conducted up to now relies solely on self-reported parameters to assess social media usage, it is argued that neuroscientists need to include datasets with higher precision in terms of what is done on screens, for how long, and at what age.

scholarly journals Asymmetric Compression of Representational Space for Object Animacy Categorization under Degraded Viewing Conditions

2017 ◽  
Vol 29 (12) ◽  
pp. 1995-2010 ◽  
Author(s):  
Tijl Grootswagers ◽  
J. Brendan Ritchie ◽  
Susan G. Wardle ◽  
Andrew Heathcote ◽  
Thomas A. Carlson
Keyword(s):  
Human Brain ◽  
Time Course ◽  
Reaction Times ◽  
Choice Response ◽  
Neural Activation ◽  
Decision Boundary ◽  
Activation Patterns ◽  
Categorization Task ◽  
Brain And Behavior ◽  
And Behavior

Animacy is a robust organizing principle among object category representations in the human brain. Using multivariate pattern analysis methods, it has been shown that distance to the decision boundary of a classifier trained to discriminate neural activation patterns for animate and inanimate objects correlates with observer RTs for the same animacy categorization task [Ritchie, J. B., Tovar, D. A., & Carlson, T. A. Emerging object representations in the visual system predict reaction times for categorization. PLoS Computational Biology, 11, e1004316, 2015; Carlson, T. A., Ritchie, J. B., Kriegeskorte, N., Durvasula, S., & Ma, J. Reaction time for object categorization is predicted by representational distance. Journal of Cognitive Neuroscience, 26, 132–142, 2014]. Using MEG decoding, we tested if the same relationship holds when a stimulus manipulation (degradation) increases task difficulty, which we predicted would systematically decrease the distance of activation patterns from the decision boundary and increase RTs. In addition, we tested whether distance to the classifier boundary correlates with drift rates in the linear ballistic accumulator [Brown, S. D., & Heathcote, A. The simplest complete model of choice response time: Linear ballistic accumulation. Cognitive Psychology, 57, 153–178, 2008]. We found that distance to the classifier boundary correlated with RT, accuracy, and drift rates in an animacy categorization task. Split by animacy, the correlations between brain and behavior were sustained longer over the time course for animate than for inanimate stimuli. Interestingly, when examining the distance to the classifier boundary during the peak correlation between brain and behavior, we found that only degraded versions of animate, but not inanimate, objects had systematically shifted toward the classifier decision boundary as predicted. Our results support an asymmetry in the representation of animate and inanimate object categories in the human brain.

scholarly journals Comparative genetic approaches to the evolution of human brain and behavior

2010 ◽  
Vol 23 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Eric J. Vallender
Keyword(s):  
Human Brain ◽  
Brain And Behavior ◽  
And Behavior

Microgravity effects on the human brain and behavior: Dysfunction and adaptive plasticity

2021 ◽  
Vol 122 ◽  
pp. 176-189
Author(s):  
K.E. Hupfeld ◽  
H.R. McGregor ◽  
P.A. Reuter-Lorenz ◽  
R.D. Seidler
Keyword(s):  
Human Brain ◽  
Adaptive Plasticity ◽  
Brain And Behavior ◽  
And Behavior

scholarly journals Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions

2017 ◽  
Author(s):  
Tijl Grootswagers ◽  
J. Brendan Ritchie ◽  
Susan G. Wardle ◽  
Andrew Heathcote ◽  
Thomas A. Carlson
Keyword(s):  
Human Brain ◽  
Time Course ◽  
Reaction Times ◽  
Neural Activation ◽  
Decision Boundary ◽  
Activation Patterns ◽  
Categorization Task ◽  
Brain And Behavior ◽  
Time Accuracy ◽  
And Behavior

AbstractAnimacy is a robust organizing principle amongst object category representations in the human brain. Using multivariate pattern analysis methods (MVPA), it has been shown that distance to the decision boundary of a classifier trained to discriminate neural activation patterns for animate and inanimate objects correlates with observer reaction times for the same animacy categorization task (Carlson, Ritchie, Kriegeskorte, Durvasula, & Ma, 2014; Ritchie, Tovar, & Carlson, 2015). Using MEG decoding, we tested if the same relationship holds when a stimulus manipulation (degradation) increases task difficulty, which we predicted would systematically decrease the distance of activation patterns from the decision boundary, and increase reaction times. In addition, we tested whether distance to the classifier boundary correlates with drift rates in the Linear Ballistic Accumulator (Brown & Heathcote, 2008). We found that distance to the classifier boundary correlated with reaction time, accuracy, and drift rates in an animacy categorization task. Split by animacy, the correlations between brain and behavior were sustained for longer over the time course for animate than for inanimate stimuli. Interestingly, when examining the distance to the classifier boundary during the peak correlation between brain and behavior, we found that only degraded versions of animate, but not inanimate, objects had systematically shifted towards the classifier decision boundary as predicted. Our results support an asymmetry in the representation of animate and inanimate object categories in the human brain.

Depth-electrographic stimulation of the human brain and behavior

1969 ◽  
Vol 26 (6) ◽  
pp. 645
Author(s):  
J.M. Van Buren
Keyword(s):  
Human Brain ◽  
Brain And Behavior ◽  
And Behavior ◽  
Stimulation Of

On estrogenic masculinization of the human brain and behavior

2018 ◽  
Vol 97 ◽  
pp. 1-2 ◽  
Author(s):  
Severi Luoto ◽  
Markus J. Rantala
Keyword(s):  
Human Brain ◽  
Brain And Behavior ◽  
And Behavior

Depth-Electrographic Stimulation of the Human Brain and Behavior

1970 ◽  
Vol 83 (1) ◽  
pp. 143
Author(s):  
William A. Wilson ◽  
C. W. Sem-Jacobsen
Keyword(s):  
Human Brain ◽  
Brain And Behavior ◽  
And Behavior ◽  
Stimulation Of
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