2006 Special Issue: Synthetic computational models of selective attention

Authors:
Antonino Raffone
Affiliations:
Department of Psychology, University of Rome "La Sapienza", Via dei Marsi, 78, 00185 Rome, Italy and Department of Psychology, University of Sunderland, United Kingdom and Laboratory for Percepual ...
Venue:
Neural Networks
Year:
2006

Citing 4
Cited 0

A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Synthetic brain imaging: grasping, mirror neurons and imitation

Neural Networks - Special issue on the global brain: imaging and modelling
A Large-scale Neurocomputational Model of Task-oriented Behavior Selection and Working Memory in Prefrontal Cortex

Journal of Cognitive Neuroscience
A Cortical Mechanism for Binding in Visual Working Memory

Journal of Cognitive Neuroscience

Quantified Score

Hi-index	0.00

Visualization

Abstract

Computational modeling plays an important role to understand the mechanisms of attention. In this framework, synthetic computational models can uniquely contribute to integrate different explanatory levels and neurocognitive findings, with special reference to the integration of attention and awareness processes. Novel combined experimental and computational investigations can lead to important insights, as in the revived domain of neural correlates of attention- and awareness-related meditation states and traits.