Depth-Electrographic Stimulation of the Human Brain and Behavior

SUMMARY:This report presents studies which relate limbic epileptic excitability to behavioral measures of defensive suppression of predatory attack in cats. Correlated with heightened defensiveness to environmental stimuli among non-killer cats is a heightened amygdaloid epileptic excitability, as well as a heightened conduction of amygdaloid epileptic activity to thalamic and hypothalamic substrates of predatory response in the amygdala to the complex visual stimuli presented by rat prey. These neurosensory responses correlate well with measures of epileptic excitability. Brain and behavior measures appear related since enhancement of excitability in the amygdala and of projection of epileptic activity by repeated electrical stimulation of predatory attacks. Furthermore, the ventral hippocampus seems capable of antagonizing the behaviorally suppressive effects of heightened amygdaloid excitability perhaps at points of convergence of amygdaloid and hippocampal output.

Coordination Dynamics of Human Brain and Behavior

Springer Proceedings in Physics - Evolution of Dynamical Structures in Complex Systems ◽

10.1007/978-3-642-84781-3_11 ◽

1992 ◽

pp. 223-234 ◽

Cited By ~ 13

Author(s):

J. A. S. Kelso

Keyword(s):

Human Brain ◽

Coordination Dynamics ◽

Brain And Behavior ◽

And Behavior

Decision letter: Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior

10.7554/elife.32962.015 ◽

2017 ◽

Keyword(s):

Neural Network ◽

Human Brain ◽

Deep Neural Network ◽

Brain And Behavior ◽

And Behavior

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

Journal of Cognitive Neuroscience ◽

10.1162/jocn_a_01177 ◽

2017 ◽

Vol 29 (12) ◽

pp. 1995-2010 ◽

Cited By ~ 9

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.

Comparative genetic approaches to the evolution of human brain and behavior

American Journal of Human Biology ◽

10.1002/ajhb.21132 ◽

2010 ◽

Vol 23 (1) ◽

pp. 53-64 ◽

Cited By ~ 3

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

Neuroscience & Biobehavioral Reviews ◽

10.1016/j.neubiorev.2020.11.017 ◽

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

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

10.1101/166660 ◽

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.