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- Open Access
A dynamic neural model of localization of brief successive stimuli in saltation
© Meijer et al; licensee BioMed Central Ltd. 2009
- Published: 13 July 2009
- Stimulus Onset Asynchrony
- Lateral Inhibition
- Tactile Stimulus
- Stimulus Location
- Feedback Connection
Somatosensory saltation is an illusion robustly generated using short tactile stimuli [1, 2]. There is a perceived displacement of a first stimulus if followed by a subsequent nearby stimulus with a short stimulus onset asynchrony (SOA). Experimental reports suggest that this illusion results from spatiotemporal integration in early processing stages, but the exact neural mechanism is unknown. The neuronal mechanism involved is probably quite generic as similar phenomena occur in other modalities, audition for example .
We propose a dynamic neural field model  with multiple layers for localization of brief tactile stimuli. An input layer processes inputs using lateral inhibition. In addition, it sends feedforward connections to a representation layer. This layer slowly integrates incoming sensory information and computes the stored location, by means of lateral inhibition. Feedback connections finally project the model output onto a perceptual body map. Experimentally reported control of spatial attention is modeled as a bias in the receptive fields. We study how the stimulus propagates across levels in the network and how the representation of stimulus location is influenced by concurrent or successive inputs.
With suitable SOA and interstimulus distance our model shows that both stimuli are spatially attracted towards each other, as observed in the saltation illusion. The range of SOAs is within the range well known from psychophysical experiments observing the saltation effect. The spatial limits in our model depend in particular on the connectivity between layers. Attention influences the midpoint between the perceived stimuli locations.
The new computational model of a somatosensory illusion allows the design of experiments to test the underlying neurophysiological assumptions, which could lead to a further understanding of the neural mechanism(s) underlying saltation. The generic structure of the model allows application to other modalities as well (audition and nociception).
The authors received support from the 6th framework program EC project no. 043432, Somaps.
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