About this Research Topic
More-sophisticated experiments will be required to elucidate the specific features of astrocytes in different brain regions, and even within different layers of a particular circuit. Thus, in addition to considering the diverse mechanisms used by astrocytes to communicate with neurons and synaptic partners, it is necessary to consider the cellular heterogeneity that likely contributes to the outcomes of astrocyte-neuron signaling.
This Research Topic is intended to provide a better understanding of the opportunities, challenges, and promising future directions for driving Brain Neural Communication research in a targeted manner, providing experimentally testable predictions that range from the subcellular level to the systems level, and their relevance extends to fields beyond neuroscience, such as machine learning and artificial intelligence. Validation of modeling predictions often requires — and drives — new technological advances, thus enhancing the loop among modeling study, hardware design application, and lab-based experimentation, and that moves the field forward.
The goal of this Research Topic is to collect novel and high-quality research articles that investigate methods and applications in neuronal signaling for fundamental knowledge, biomedical applications, neural nets, and neuromorphic computational and hardware advances. Specifically, we welcome original contributions related to modeling study and algorithms development, hardware design application, and lab-based experimental results in the different areas of Brain Neural communication.
Topics of interest include, but are not limited to, advanced methods and applications for:
• Dendritic mapping of neuronal communication (dendritic spikes, subunits conductance, etc.)
• Graphical neural nets (regional mapping of neural and neuronal types/subtypes) and functional analysis
• Multi-synaptic input to dendrites (excitatory, inhibitory, etc.)
• Plasticity modeling of single or multiple Synaptic
• Bio-inspired deep-learning for medical imaging of the Central Nervous System (CNS)
• Neuromorphic hardware design applications for brain neural communications
Keywords: Dendritic mapping, Graphical neural nets, Excitatory and Inhibitory Synapses, Plasticity, AI, Neuromorphic, Hardware and Software
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.