- Poster presentation
- Open Access
Learning cortical representations from multiple whisker inputs
© Wilson et al; licensee BioMed Central Ltd. 2009
- Published: 13 July 2009
In previous work  we have shown how single whisker direction maps can emerge from a LISSOM (laterally interconnected synergetically self-organizing map ) model of layer 2/3 barrel cortex, when the directions of waves of multi whisker input are correlated with the directions of the individual whiskers. Here we investigate the emergence and organization of multi whisker representations in an additional sheet of layer 5 neurons. Self organization of this system is driven by signals measured from an array of simulated whiskers, however, work is currently in progress to generate training data from an array of physical composite glass fiber whiskers (Figure 1b) mounted on an XY translation table.
The hardware based approach allows us to investigate how cortical representations for temporal features such as stimulus onset/offset, velocity and frequency might be integrated with those for the spatial components of whisker stimuli, and should enable us to predict receptive field properties of layer 5 cells that may be measurable in future in vivo experiments.
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