AIMC Topic: Attention

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Visual Attention: Size Matters.

Current biology : CB
When searching real-world scenes, human attention is guided by knowledge of the plausible size of target object (if an object is six feet tall, it isn't your cat). Computer algorithms typically do not do this, but perhaps they should.

DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Understanding and predicting the human visual attention mechanism is an active area of research in the fields of neuroscience and computer vision. In this paper, we propose DeepFix, a fully convolutional neural network, which models the bottom-up mec...

Design of a Behavior of Robot That Attracts the Interest of the Mildly Demented Elderly.

Studies in health technology and informatics
In this study, using the unexpected intervention overturning the interaction amount of the field and the mental model, an interaction of a robot system that enables sustained nonverbal communication with the mildly demented elderly was proposed and i...

A connectionist modeling study of the neural mechanisms underlying pain's ability to reorient attention.

Cognitive, affective & behavioral neuroscience
Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability to shift attention away from another stimulus modality and toward itself. Different connectionist model architectures were used to simulate the differe...

Brief Report: Development of a Robotic Intervention Platform for Young Children with ASD.

Journal of autism and developmental disorders
Increasingly researchers are attempting to develop robotic technologies for children with autism spectrum disorder (ASD). This pilot study investigated the development and application of a novel robotic system capable of dynamic, adaptive, and autono...

Reversal Learning Task in Children with Autism Spectrum Disorder: A Robot-Based Approach.

Journal of autism and developmental disorders
Children with autism spectrum disorder (ASD) engage in highly perseverative and inflexible behaviours. Technological tools, such as robots, received increased attention as social reinforces and/or assisting tools for improving the performance of chil...

Can Robotic Interaction Improve Joint Attention Skills?

Journal of autism and developmental disorders
Although it has often been argued that clinical applications of advanced technology may hold promise for addressing impairments associated with autism spectrum disorder (ASD), relatively few investigations have indexed the impact of intervention and ...

Selection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actions.

Cognitive processing
The objects present in our environment evoke multiple conflicting actions at every moment. Thus, a mechanism that resolves this conflict is needed in order to avoid the production of chaotic ineffective behaviours. A plausible candidate for such role...

Neuromodelling based on evolutionary robotics: on the importance of motor control for spatial attention.

Cognitive processing
Mainstream approaches to modelling cognitive processes have typically focused on (1) reproducing their neural underpinning, without regard to sensory-motor systems and (2) producing a single, ideal computational model. Evolutionary robotics is an alt...

Learning feature representations with a cost-relevant sparse autoencoder.

International journal of neural systems
There is an increasing interest in the machine learning community to automatically learn feature representations directly from the (unlabeled) data instead of using hand-designed features. The autoencoder is one method that can be used for this purpo...