AIMC Topic: Choice Behavior
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Change in hippocampal theta oscillation associated with multiple lever presses in a bimanual two-lever choice task for robot control in rats.
PloS one
Feb 12, 2018
Hippocampal theta oscillations have been implicated in working memory and attentional process, which might be useful for the brain-machine interface (BMI). To further elucidate the properties of the hippocampal theta oscillations that can be used in ...
Statistical learning of parts and wholes: A neural network approach.
Journal of experimental psychology. General
Jan 12, 2017
Statistical learning is often considered to be a means of discovering the units of perception, such as words and objects, and representing them as explicit "chunks." However, entities are not undifferentiated wholes but often contain parts that contr...
Predict or classify: The deceptive role of time-locking in brain signal classification.
Scientific reports
Jun 20, 2016
Several experimental studies claim to be able to predict the outcome of simple decisions from brain signals measured before subjects are aware of their decision. Often, these studies use multivariate pattern recognition methods with the underlying as...
A neural model of the frontal eye fields with reward-based learning.
Neural networks : the official journal of the International Neural Network Society
May 24, 2016
Decision-making is a flexible process dependent on the accumulation of various kinds of information; however, the corresponding neural mechanisms are far from clear. We extended a layered model of the frontal eye field to a learning-based model, usin...
Extending unified-theory-of-reinforcement neural networks to steady-state operant behavior.
Behavioural processes
Mar 24, 2016
The unified theory of reinforcement has been used to develop models of behavior over the last 20 years (Donahoe et al., 1993). Previous research has focused on the theory's concordance with the respondent behavior of humans and animals. In this exper...
Multivariate representation of food preferences in the human brain.
Brain and cognition
Jan 6, 2016
One major goal in decision neuroscience is to investigate the neuronal mechanisms being responsible for the computation of product preferences. The aim of the present fMRI study was to investigate whether similar patterns of brain activity, reflectin...
Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information.
Neural networks : the official journal of the International Neural Network Society
Nov 4, 2015
We present an extension of a neurobiologically inspired robotics model, termed CoRLEGO (Choice reaching with a LEGO arm robot). CoRLEGO models experimental evidence from choice reaching tasks (CRT). In a CRT participants are asked to rapidly reach an...
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.
Artificial intelligence in medicine
Sep 8, 2015
OBJECTIVES: Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model,...
Visual choice behavior by bumblebees (Bombus impatiens) confirms unsupervised neural network's predictions.
Journal of comparative psychology (Washington, D.C. : 1983)
May 18, 2015
The behavioral experiment herein tests the computational load hypothesis generated by an unsupervised neural network to examine bumblebee (Bombus impatiens) behavior at 2 visual properties: spatial frequency and symmetry. Untrained "flower-naïve" bum...
Investigating intertemporal choice through experimental evolutionary robotics.
Behavioural processes
Feb 23, 2015
In intertemporal choices, subjects face a trade-off between value and delay: achieving the most valuable outcome requires a longer time, whereas the immediately available option is objectively poorer. Intertemporal choices are ubiquitous, and compara...
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