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Titlebook: Biomimetic and Biohybrid Systems; First International Tony J. Prescott,Nathan F. Lepora,Paul F. M. J. Ve Conference proceedings 2012 Sprin

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Aleksandar Prokopec,Martin Oderskymple sensory-motor associations, while others rely on the construction of cognitive maps. We previously proposed a computational model of parallel learning processes during navigation which could reproduce in simulation a wide set of rat behavioral data and which could adaptively control a robot in
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https://doi.org/10.1007/978-3-319-09967-5s. As an alternative to complex, bulky and expensive current solutions based on shifting constant-focus lenses, here we report on an electrically tunable lens made of dielectric elastomers as ‘artificial muscle’ materials. The device is inspired to the architecture of the crystalline lens and ciliar
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https://doi.org/10.1007/978-3-319-09967-5more efficient use of modern technologies in aid of neuroscience research. We employed our humanoid robot for reproducing experiments on saccadic adaptation, on the same experimental setup used for human studies. The behavior of the robot, endowed with advanced sensorimotor skills and high autonomy
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Tomofumi Yuki,Sanjay Rajopadhyelthough some progress has been made in understanding of how biological systems use sensory signals to control reflex and voluntary behaviour, experimental platforms are still missing which allow us to study sensorimotor integration under closed-loop conditions. We developed a fly-robot interface (FR
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Pillar: A Parallel Implementation Language neurocontroller that describes this navigation behavior. As by real ants, landmarks are recognized depending on the context, i.e. only when landmarks belong to the path towards the current goal (food source, home). In this earlier version, neither position nor quality of the food sources can be lea
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Efficient Set Sharing Using ZBDDs,aluable food source honeybee foragers move vigorously, in a highly stereotypical pattern, on the comb surface conveying polar coordinates of the field site to a human observer. After 60 years of intense research it remains still unknown how the bees decode the dance. To resolve this question we have
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Daniel Orozco,Elkin Garcia,Guang Gaoon of visual stimulus information into a temporal population code, or TPC. In this paper, we combine the canonical cortical computational principle of the TPC model with two other systems: an attention system and a hippocampus model. We evaluate whether the TPC encoding strategy can be efficiently u
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Lecture Notes in Computer Sciencecess in these tasks are the integrator models. These models suggest that perceptual evidence is accumulated over time until a decision is made. Therefore, the final decision is based solely on recent perceptual information. In behaviorally more relevant tasks such as foraging, it is however probable
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