In essence, brain cognitive functions and behavior emerge from complex networks of individual bio-elements that process the operational rules of brain neural circuits across temporal and spatial scales. The dynamics of these complex patterns render brain adaptability to daily environmental changes and to perform specific tasks, which can be altered by brain disorders.
Advancements in molecular, genetic techniques, optical and large-scale electrical measurement augmented by computational tools have revolutionized our arsenal in understanding the intrinsic local and global features of neural dynamics and complexity.
Furthermore, the syntax of brain-adaptive dynamics is encoded in the time-varying spatial distribution, at which neurons discharge spiking activity superimposed and complemented with slow oscillatory field potentials. Hence, electrophysiological tools such as microelectrode arrays (MEAs), patch-clamp recordings, calcium imaging, and brain-on-chip platforms have been instrumental in probing the neuronal interactions and information processing of in vitro and in vivo representations at different spatiotemporal scales.
Several novel advancements have evoked vital questions and challenges on multiscale communication within brain networks. Also, they have generated multidimensional representations that emerged data analysis techniques and evolved novel methods, algorithms, and elaborated network modeling to reveal the underlying complexity of the brain dynamics. However, despite these technological and theoretical advances; yet, there is so much more to discover about how the brain can process complex multiscale information to give rise to dynamical functions and behaviors.
Thus, the main goal of this Research Topic is to bring together original research papers and insightful reviews to shed light on the importance of resourceful experimental-theoretical synergy for mapping the dynamic coordination of brain complexity. Aiming to probe the complexity of the brain function in healthy physiological mechanisms as well as uncover the dysfunctional machinery and its hodology that come along with brain disorders such as neurodegeneration. The scope may focus on but not limited to bioelectrical and neuroimaging representations of brain activity to the advent of neuroelectronics and biomaterial applications and computational and bioinformatics solutions.
We are looking for contributions to cover but not limited to the following themes:
- New techniques to bridge the gap between molecular, cellular, and functional experimental and theoretical paradigms, including optical and electrical modalities for monitoring circuit/network coding and dynamics.
- Novel algorithms and computational methods for analyzing and modeling large-scale multidimensional representations
- Methods for novel functional biomaterials, surfaces, interfaces, and their biological applications
- Quantifying and modeling the role of multiscale neural temporal coding and network synchronization
In essence, brain cognitive functions and behavior emerge from complex networks of individual bio-elements that process the operational rules of brain neural circuits across temporal and spatial scales. The dynamics of these complex patterns render brain adaptability to daily environmental changes and to perform specific tasks, which can be altered by brain disorders.
Advancements in molecular, genetic techniques, optical and large-scale electrical measurement augmented by computational tools have revolutionized our arsenal in understanding the intrinsic local and global features of neural dynamics and complexity.
Furthermore, the syntax of brain-adaptive dynamics is encoded in the time-varying spatial distribution, at which neurons discharge spiking activity superimposed and complemented with slow oscillatory field potentials. Hence, electrophysiological tools such as microelectrode arrays (MEAs), patch-clamp recordings, calcium imaging, and brain-on-chip platforms have been instrumental in probing the neuronal interactions and information processing of in vitro and in vivo representations at different spatiotemporal scales.
Several novel advancements have evoked vital questions and challenges on multiscale communication within brain networks. Also, they have generated multidimensional representations that emerged data analysis techniques and evolved novel methods, algorithms, and elaborated network modeling to reveal the underlying complexity of the brain dynamics. However, despite these technological and theoretical advances; yet, there is so much more to discover about how the brain can process complex multiscale information to give rise to dynamical functions and behaviors.
Thus, the main goal of this Research Topic is to bring together original research papers and insightful reviews to shed light on the importance of resourceful experimental-theoretical synergy for mapping the dynamic coordination of brain complexity. Aiming to probe the complexity of the brain function in healthy physiological mechanisms as well as uncover the dysfunctional machinery and its hodology that come along with brain disorders such as neurodegeneration. The scope may focus on but not limited to bioelectrical and neuroimaging representations of brain activity to the advent of neuroelectronics and biomaterial applications and computational and bioinformatics solutions.
We are looking for contributions to cover but not limited to the following themes:
- New techniques to bridge the gap between molecular, cellular, and functional experimental and theoretical paradigms, including optical and electrical modalities for monitoring circuit/network coding and dynamics.
- Novel algorithms and computational methods for analyzing and modeling large-scale multidimensional representations
- Methods for novel functional biomaterials, surfaces, interfaces, and their biological applications
- Quantifying and modeling the role of multiscale neural temporal coding and network synchronization