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Predictive neural fields for improved tracking and attentional properties

Jean-Charles Quinton 1 Bernard Girau 1 
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Predictive capabilities are added to the competition mechanism known as the Continuum Neural Field Theory, in order to improve and extend its attentional properties. In order to respect the distributed and bio-inspired nature of the model, the prediction is introduced as an internal stimulation, directly determined by the past field activity. Building on mathematical developments and optimization techniques, performance is ascertained on a 2D tracking application where the system must robustly focus on a target despite rapid movements, noise and distracters. In addition to a consistent gain on previously observed capabilities, the extended model can also track stimuli with full occlusions and static obstacles on the trajectory.
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Submitted on : Monday, June 27, 2011 - 5:31:55 PM
Last modification on : Friday, February 4, 2022 - 3:16:15 AM
Long-term archiving on: : Wednesday, September 28, 2011 - 2:26:54 AM


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  • HAL Id : inria-00603902, version 1



Jean-Charles Quinton, Bernard Girau. Predictive neural fields for improved tracking and attentional properties. International Joint Conference on Neural Networks IJCNN 2011, Ali Minai, Hava Siegelmann, Jul 2011, San José, United States. ⟨inria-00603902⟩



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