- Poster presentation
- Open Access
Temporal sequence learning in reentrantly coupled winner-take-all networks of spiking neurons
© McKinstry; licensee BioMed Central Ltd. 2013
- Published: 8 July 2013
- Temporal Sequence
- Sequence Learning
- Sharp Transition
- Robotic Device
- Figure Plot
We also used the present model to control specific motor sequences in a robotic device. The population activity pattern in this modeled nervous system has similarities to that observed in primate frontal cortex during multi-segmented limb movements.
This work was supported in part by DARPA through ONR Grant N00014-08-1-0728 and AFRL Cooperative Agreement FA8750-11-2-0255 to Neurosciences Research Foundation. The views, opinions, and/or findings contained in this article/presentation are those of the authors/presenters and should not be interpreted as representing the official views or policies, either expressed or implied, of the Defense Advanced Research Projects Agency or the Department of Defense. Approved for Public Release, Distribution Unlimited.
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