Controlling an aerial robot with human gestures using bio-inspired algorithm

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet

January, 2017

Abstract

Improve performances of existing recognition computer vision algorithms with biological concepts. The gain are expected in the following: Recognition latency and accuracy (faster and better), less data needed to train algorithms and of decreased power consumption.)

Type

Conference paper

Publication

Doc2AMU Doctoral Day - 2017-10-13

see a follow-up in:
Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet (2021). Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system. PLoS Computational Biology.
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more about the role of top-down connections:
Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet (2020). Effect of top-down connections in Hierarchical Sparse Coding. Neural Computation.
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deep-learning sparse coding

Angelo Franciosini

Phd candidate in Computational Neuroscience

During my PhD, I am focusing on predictive coding in a bio-inspired neural network.