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20 papers · 1 filter
Diagrammatic expansion for the mutual-information rate in the realm of limited statistics
Tobias Kühn, Gabriel Mahuas, Ulisse Ferrari
Neurons in sensory systems encode stimulus information into their stochastic spiking response. The mutual information has been extensively applied to these systems to quantify the…
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses
Jacob Granley, Tristan Fauvel, Matthew Chalk +1
Neuroprostheses show potential in restoring lost sensory function and enhancing human capabilities, but the sensations produced by current devices often seem unnatural or distorted…
A small-correlation expansion to quantify information in noisy sensory systems
Gabriel Mahuas, Olivier Marre, Thierry Mora +1
Neural networks encode information through their collective spiking activity in response to external stimuli. This population response is noisy and strongly correlated, with comple…
VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
Francisco Naveros, Niceto R. Luque, Eduardo Ros +1
We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate a real robotic body (iCub) when performing different vestibulo-ocular ref…
Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study
Francisco Naveros, Jesus A. Garrido, Angelo Arleo +2
Studying and understanding the computational primitives of our neural system requires for a diverse and complementary set of techniques. In this work, we use the Neuro-robotic Plat…
Cholinergic switch between two types of slow waves in cerebral cortex
Trang-Anh E. Nghiem, Núria Tort-Colet, Tomasz Górski +8
Sleep slow waves are known to participate in memory consolidation, yet slow waves occurring under anesthesia present no positive effects on memory. Here, we shed light onto this pa…