- Oral presentation
- Open Access
Spatiotemporal pattern discrimination using predictive dynamic neural fields
© Quinton and Girau; licensee BioMed Central Ltd. 2012
Published: 16 July 2012
Predictive/reactive tracking error ratio
Competition between distant identical stimuli
Moving target with 30 random distracters
Moving target with Gaussian noise (σ = 0.5)
Obstacle on trajectory (fixed distracter)
Full occlusion of the target after convergence
While the predictors improve tracking performance when they adequately anticipate the dynamics, their inadequacy simply leads to a fall back on the original CNFT dynamics. This allows the system to perform correctly while learning the predictors, but also to discriminate between trajectories, as the relative level of assimilation of the dynamics is updated in real-time.
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