Realistic Multi-Scale Modeling of Neural Circuit Dynamics: Explore multi-scale models that integrate molecular, cellular, and network-level processes to simulate neural circuit dynamics and bridge the gap between detailed biophysical simulations and high-level neural network interactions
Neural circuit dynamics are immensely complex, governed by interactions at molecular, cellular, and network levels. Recent advancements in computational neuroscience have facilitated the development of detailed biophysical models that enrich our understanding of individual neuron behavior and network interactions. Despite these advances, a significant challenge remains in bridging the detailed molecular-cellular models with high-level descriptions of neural network dynamics. This results in a gap that compromises the completeness of neurological simulations, affecting both theoretical and practical applications in understanding brain functionality.
This Research Topic endeavors to create and refine multi-scale models that comprehensively integrate data from molecular, cellular, and network levels to simulate neural circuit dynamics more realistically. By doing so, it aims to produce simulations that not only align closely with empirical data but also provide deeper insights into neurological disorders and potential therapeutic targets.
The focus of this research endeavours to define the boundaries and capabilities of current simulation models while aiming to extend them. In pursuing this advancement in computational neuroscience, we invite contributions that specifically address themes such as:
-Novel multi-scale modelling techniques and algorithms
- Integration of genetic and synaptic data into large-scale brain models
-Application of machine learning in improving model precision and scalability
-Cross-validation of models with experimental neuroscience data
-Case studies on specific neural circuits or neurological disorders
Case studies on specific neural circuits or neurological disorders
By pushing the frontier in these areas, this research topic aims to forge new paths in the simulation and understanding of brain functions, potentially revolutionizing both neuroscience research and clinical approaches to neurological diseases.
Keywords: Multi-Scale Modeling, Neural circuits, Machine learning Biophysical Simulations
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.