Data repository for “Imagery may arise through associations formed through sensory experience: a network of spiking neurons controlling a robot learns visual sequences in order to perform a mental rotation task” by JL McKinstry, JG Fleischer, Y Chen, WE Gall, and GM Edelman.
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Data repository for “Imagery may arise through associations formed through sensory experience: a network of spiking neurons controlling a robot learns visual sequences in order to perform a mental rotation task” by JL McKinstry, JG Fleischer, Y Chen, WE Gall, and GM Edelman.
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Identifier |
https://doi.org/10.7910/DVN/CYNK9U
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Creator |
Fleischer, Jason
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Publisher |
Harvard Dataverse
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Description |
This is the software and raw data presented in the paper “Imagery may arise through associations formed through sensory experience: a network of spiking neurons controlling a robot learns visual sequences in order to perform a mental rotation task” by JL McKinstry, JG Fleischer, Y Chen, WE Gall, and GM Edelman. This repository has three separate components: (1) software that performs neural simulation and controls the humanoid APEX robot, (2) raw data generated from trials performed by the APEX robot performing a mental rotation task, (3) analysis scripts that generated the figures, tests, and measurements presented in the journal article. Obviously (1) is unusable unless you have the APEX robot, but the source code may be useful to better understand the nature of the data in (2) |
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Subject |
Computer and Information Science
Medicine, Health and Life Sciences Mental Imagery Sequence Learning Associative Learning Large Scale Spiking Neural Network Neurorobotics |
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Contributor |
Fleischer, Jason
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