Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a means to understand animal behavior and behavioral change. Such simulation can be too large and complex to conduct on a single computer, and so distributed simulation across multiple computers over the Internet is necessary. In this study, we report our joint effort on developing a spiking brain model and a mouse body model, connecting over the Internet, and conducting bidirectional simulation while synchronizing them. Specifically, the brain model consisted of multiple regions including secondary motor cortex, primary motor and somatosensory cortices, basal ganglia, cerebellum and thalamus, whereas the mouse body model, provided by the Neur...
<p>Development of credible clinically-relevant brain simulations has been slowed due to a focus on e...
Combining computational neuroscience tools with robotic devices allows to reproduce and investigate ...
In this thesis, we present a data-driven iterative pipeline to generate, simulate and validate point...
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a...
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a...
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a...
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a...
Simulating the brain-body-environment trinity in closed loop is an attractive proposal to investigat...
The importance of the interaction between the body and the brain for the control of behavior has bee...
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biol...
The function of the cerebellum has long been known to be essential in motor control and learning. El...
This archive contains the python codes to run the TVB-AdEx model of mouse, monkey and human brains. ...
The Problem: How does the animal (and especially the human) brain organize and execute control of ba...
This main goal of this project is to model a digital twin of a stroke patient in order to see a virt...
The dynamical properties of the brain and the dynamics of the body strongly influence one another. T...
<p>Development of credible clinically-relevant brain simulations has been slowed due to a focus on e...
Combining computational neuroscience tools with robotic devices allows to reproduce and investigate ...
In this thesis, we present a data-driven iterative pipeline to generate, simulate and validate point...
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a...
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a...
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a...
Embodied simulation with a digital brain model and a realistic musculoskeletal body model provides a...
Simulating the brain-body-environment trinity in closed loop is an attractive proposal to investigat...
The importance of the interaction between the body and the brain for the control of behavior has bee...
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biol...
The function of the cerebellum has long been known to be essential in motor control and learning. El...
This archive contains the python codes to run the TVB-AdEx model of mouse, monkey and human brains. ...
The Problem: How does the animal (and especially the human) brain organize and execute control of ba...
This main goal of this project is to model a digital twin of a stroke patient in order to see a virt...
The dynamical properties of the brain and the dynamics of the body strongly influence one another. T...
<p>Development of credible clinically-relevant brain simulations has been slowed due to a focus on e...
Combining computational neuroscience tools with robotic devices allows to reproduce and investigate ...
In this thesis, we present a data-driven iterative pipeline to generate, simulate and validate point...