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A computational model of emotional learning in the amygdala.
A neurologically inspired computational model of the amygdala and the orbitofrontal cortex that aims to partially reproduce the same characteristics as the biological system is presented.
EMOTIONAL LEARNING: A COMPUTATIONAL MODEL OF THE AMYGDALA
There exists enough physiological data to suggest the overall architecture of a computational model of emotional learning and processing inspired by neurophysiological findings, and emotion plays a clear role in learning the behavior.
A Computational Model of Emotional Conditioning in the Brain
There exists enough physiological data to suggest the overall architecture of a computational model of emotional learning and processing inspired by neurophysiological findings, and emotion plays a clear role in learning and behavior.
Biasing moral decisions by exploiting the dynamics of eye gaze
- P. Pärnamets, P. Johansson, Lars Hall, C. Balkenius, M. Spivey, Daniel C. Richardson
- PsychologyProceedings of the National Academy of Sciences
- 16 March 2015
It is shown that if an experimenter passively knows when individuals move their eyes the experimenter can change complex moral decisions, achieved by simply adjusting the timing of the decisions.
Natural intelligence in artificial creatures
- C. Balkenius
What mechanisms are needed in a cognitive system, such as an animal or a robot, and how do these mechanisms interact with each other? The thesis presents a study of this problem within the field of…
Attention, habituation and conditioning: toward a computational model
- C. Balkenius
- Psychology, Biology
It is shown that attention puts similar demands on a cognitive system as motor control and evidence is presented supporting the view that similar mechanisms operate in the two processes.
Nonmonotonic Inferences in Neural Networks
We show that by introducing an appropriate schema concept and exploiting the higher-level features of a resonance function in a neural network it is possible to define a form of nonmonotonic…
Robust Self-Localization using Elastic Templates
It is shown that elastic template matching is very robust against changing environments without any preparation such as artificial landmark-symbols that have to be identified.
Attention as selection-for-action: a scheme for active perception
The three principles for attentional control of actions in autonomous robots suggest that attentional shifts and the selection of the focus of attention should be seen as actions rather than as a purely sensory process.
Computational models of classical conditioning: a comparative study
We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of the Sutton-Barto model,…