36 research outputs found
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
Comparaison du poids encéphalique entre les deux sexes de l'espèce humaine
Lapicque L. Comparaison du poids encéphalique entre les deux sexes de l'espèce humaine. In: Bulletins et Mémoires de la Société d'anthropologie de Paris, V° Série. Tome 8, 1907. p. 445