NEST is the one of the most standard and widely used simulation environment. It is the first-class simulator in our project endorsed by Program for Promoting Researches on the Supercomputer Fugaku [1], where we develop a spiking network model of the mouse brain in NEST on Fugaku, and connect it to a musculoskeletal body model running on a local PC to realize a closed-loop brain-body simulation...
Research on parkinsonism underscored the central roles of basal ganglia alterations and dopamine level reductions in symptom emergence [7]. Recent studies, however, hint at cerebellar involvement in altered parkinsonian brain activity [8, 2]. To unravel the role of this region in parkinsonism, we developed an innovative multiscale, multiarea brain model, aiming to investigate neural dynamics...
After many years of research in neuroscience, the manifestation of intelligence in spiking neurons remains a puzzle. Computational neuroscience has the potential to uncover the underlying principles but is burdened by the computational complexity of executing biological neural network simulations of sufficient size and realism.
Varying efforts have addressed the challenge of acceleration...
To survive in a changing world, animals often need to suppress an obsolete behavior and acquire a new behavior. This process is known as reversal learning (RL). The neural mechanisms underlying RL in spatial navigation has received limited attention and it remains unclear what neural mechanisms maintain behavioral flexibility.
We extended an existing closed-loop simulator of spatial...
