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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.
 
Identifier https://doi.org/10.7910/DVN/CYNK9U
 
Creator Fleischer, Jason
 
Publisher Harvard Dataverse
 
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)
 
Subject Computer and Information Science
Medicine, Health and Life Sciences
Mental Imagery
Sequence Learning
Associative Learning
Large Scale Spiking Neural Network
Neurorobotics
 
Contributor Fleischer, Jason