Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system

It is true that the "best" neural network is not necessarily the one with the most "brain-like" behavior. Understanding biological intelligence, however, is a fundamental goal for several distinct disciplines. Translating our understanding of intelligence to machines is a fundamental problem in robotics. Propelled by new advancements in Neuroscience, we developed a spiking neural network (SNN) that draws from mounting experimental evidence that a number of individual neurons is associated with spatial navigation. By following the brain's structure, our model assumes no initial all-to-all connectivity, which could inhibit its translation to a neuromorphic hardware, and learns an uncharted territory by mapping its identified components into a limited number of neural representations, through spike-timing dependent plasticity (STDP). In our ongoing effort to employ a bioinspired SNN-controlled robot to real-world spatial mapping applications, we demonstrate here how an SNN may robustly control an autonomous robot in mapping and exploring an unknown environment, while compensating for its own intrinsic hardware imperfections, such as partial or total loss of visual input.Comment: 8 pages, 3 Figures, International Conference on Neuromorphic Systems (ICONS 2018

Les Nègres d'Asie et la race nègre en général

Lapicque Louis. Les Nègres d'Asie et la race nègre en général. In: Bulletins et Mémoires de la Société d'anthropologie de Paris, V° Série. Tome 7, 1906. pp. 233-249

Constance de la proportion d\u27h\ue9moglobine chez les Hom\ue9othermes en g\ue9n\ue9ral

Volume: 18Start Page: 338End Page: 33

Sur l\u27attitude des Animaux de la M\ue9nagerie pendant l\u27\ue9clipse de Soleil

Volume: 18Start Page: 197End Page: 19

Rapidit\ue9 nerveuse des membres post\ue9rieurs chez divers Batraciens anoures

Volume: 20Start Page: 363End Page: 36