Brains on Board
Brains on board is a research project to understand the honeybee brain and use this understanding to create a new generation of autonomous aerial vehicles
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procedural_paper
procedural_paper PublicPaper on using GeNN for simulating very large-scale models
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compound-ray
compound-ray PublicA hardware-accellerated compound eye perspective renderer
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bee-concept-learning
bee-concept-learning PublicA model of how honey bees learn the concept of sameness and difference
Python 3
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frontiers_genn_paper
frontiers_genn_paper PublicPaper on using GeNN for simulating cortical models
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Repositories
Showing 10 of 40 repositories
- bob_robotics Public
Collection of code for interfacing with robot platforms + simulations and visualisation
BrainsOnBoard/bob_robotics’s past year of commit activity - rc_car_image_databases Public
BrainsOnBoard/rc_car_image_databases’s past year of commit activity - pygenn_paper Public
BrainsOnBoard/pygenn_paper’s past year of commit activity - sussex-ftl-dataset Public
Collection of panoramic image datasets from Sussex FTL using the mecanum robot.
BrainsOnBoard/sussex-ftl-dataset’s past year of commit activity - imperial_uav_image_databases Public
BrainsOnBoard/imperial_uav_image_databases’s past year of commit activity - drosophila_rf_code Public
This is the code for two papers using Drosophila ring neuron receptive field data
BrainsOnBoard/drosophila_rf_code’s past year of commit activity