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Compliant neurorobotics

Compliant neurorobotics

The neuromechanical models from HBP produce robots with advanced control capabilities, that leverage rapid prototyping technologies and are safe by design.


area--computing area--neurosciences technology-readiness-level--trl-4-to-trl-6
Neurorobotics platform

Neurorobotics platform

The Neurorobotics Platform connects spiking neural networks to virtual and real robots. This enables embodiment experiments in both neuroscience and AI.


area--computing area--neurosciences technology-readiness-level--trl-7-to-trl-9
Virtual Mouse Brain

Virtual Mouse Brain

Virtual mouse brain neuroinformatics technology allows systematic exploration of novel signaling pathways

Marseille,FR

technology-readiness-level--trl-4-to-trl-6
Virtual Epileptic Patient (VEP) brain model

Virtual Epileptic Patient (VEP) brain model

Personalization of brain network models of epilepsy patients to improve surgery outcome

Marseille,FR

area--neurosciences technology-readiness-level--trl-4-to-trl-6

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BUNDLES: Identifying long and short fiber bundles

BUNDLES: Identifying long and short fiber bundles

Macroscopic connectivity of the human brain is organized in long and short bundles. We developed algorithmic technologies to map hundreds of bundles in any brain from diffusion MRI. Quantification of the bundle integrity leads to biomarkers.


area--neurosciences technology-readiness-level--trl-1-to-trl-3
Compliant neurorobotics

Compliant neurorobotics

The neuromechanical models from HBP produce robots with advanced control capabilities, that leverage rapid prototyping technologies and are safe by design.


area--computing area--neurosciences technology-readiness-level--trl-4-to-trl-6
DeepScope

DeepScope

A new microscopy paradigm for quantitative analysis of 3D samples

Firenze,IT

area--computing area--medical-fields area--neurosciences technology-readiness-level--trl-4-to-trl-6
Disco: Robust spatial normalization of brain images

Disco: Robust spatial normalization of brain images

Spatial normalization is a prerequisite to most usage of brain images in biomarker research. It is performed automatically and is error prone. DISCO uses landmarks based on cortical folding pattern to provide robustness to the process.


area--neurosciences technology-readiness-level--trl-4-to-trl-6
Dynamic Load Balancing

Dynamic Load Balancing

DLB is a library devoted to speed up hybrid parallel applications and maximize the utilization of computational resources since 2009.

Barcelone,ES

area--computing
Elephant

Elephant

The Electrophysiology Analysis Toolkit (Elephant) is an open-source library for the analysis of electrophysiological data in the Python programming language.


area--computing area--medical-fields area--neurosciences technology-readiness-level--trl-7-to-trl-9
Light regulated ligands of neuronal receptors for remote photostimulation

Light regulated ligands of neuronal receptors for remote photostimulation

We develop light-regulated ligands of neuroreceptors that allow manipulating brain waves with illumination, in order to understand their spatiotemporal dynamics at multiple scales

Barcelona,ES

area--medical-fields area--neurosciences technology-readiness-level--trl-1-to-trl-3
Neurorobotics platform

Neurorobotics platform

The Neurorobotics Platform connects spiking neural networks to virtual and real robots. This enables embodiment experiments in both neuroscience and AI.


area--computing area--neurosciences technology-readiness-level--trl-7-to-trl-9