Jordi Solé-Casals ([email protected])
Cesar F. Caiafa ([email protected])
Zhe Sun ([email protected])
Vassilis Cutsuridis ([email protected])
SCOPE AND MOTIVATION
During the past 10 years, many experiments have been implemented with the aim of improving our understanding on the brain’s structure and function. Alongside, simulation neuroscience has become an important strategy to investigate how the brain works. The Human Connectome Project in the US started in 2009, and aimed to provide a big human brain mapping dataset on which many brain models have already been tested. In the Human Brain Project in the EU, a large-scale virtual rodent brain simulation is being built with the purpose of revealing various brain activities. In Japan, whole human-scale brain simulations on the Fugaku supercomputer are being established to investigate how neural networks develop their learning process.
On the other hand, the foundation of cognitive computing and control mechanism can be revealed from the simulations of brain circuits and the neural dynamics. Moreover, these are also critical to improve current artificial intelligent systems and for building brain intelligence level algorithms.
In this special issue, we invite researchers to present their state-of-the-art approaches, introduce recent advances and therefore show the potential of brain-simulation-related technologies.
Topics include but are not limited to:
- Brain Connectivity mapping and functional mapping
- Data analysis methods for connectome data
- Multi-scale neural system simulation
- Neuromorphic hardware
- High-performance computing system for large scale simulations
- Neural system inspired spiking neural network
- Neuro-robotics systems
- Sensorimotor learning model
Submissions Deadline: April 1, 2021
First notification of acceptance: June 1, 2021
Submission of revised papers: August 1, 2021
Final notification to the authors: Oct 1, 2021
Submission of final/camera-ready papers: Nov 1, 2021
Publication of special issue: Nov 22, 2021