Neuronal network is believed to be the functional unit of human intelligence. Structures and functions of neuronal networks have been widely investigated in neuroscience and correlated to animal behaviors and intelligence. On the other hand, engineering technologies have also bee quickly developed to mimic or precisely control structures and functions of biological neuronal networks, such as 3D scaffolds for in vitro brain models. On top of it, computational technologies and in silico approaches are also developed quickly to study neuronal networks both in vivo and in vitro with a focus on information processing. Hence, it is necessary and important to connect the latest developments in neurobiology, engineering and computational fields in order to gain deeper understanding in both biological and artificial intelligence.
In this Research Topic, we welcome papers critically evaluating the existing methods related to biological mechanisms as well as engineering and computational aspects of neuronal network development, morphology and functions. We welcome scientists from different fields: neurobiology, computational and systems neuroscience and neural engineering. The work can be experimental or computational. Reviews and papers on philosophical and ethical issues are also encouraged.
While the scope of possible relevant topics is broad, the authors are encouraged to clearly indicate how their studies address the announced theme. The resulting collection of original research articles, reviews and commentaries will be a reference for recent development in bridging neurobiology, engineering and computational researches, fostering the research progress through discussions and new collaborations among the different researchers in our community.
Neuronal network is believed to be the functional unit of human intelligence. Structures and functions of neuronal networks have been widely investigated in neuroscience and correlated to animal behaviors and intelligence. On the other hand, engineering technologies have also bee quickly developed to mimic or precisely control structures and functions of biological neuronal networks, such as 3D scaffolds for in vitro brain models. On top of it, computational technologies and in silico approaches are also developed quickly to study neuronal networks both in vivo and in vitro with a focus on information processing. Hence, it is necessary and important to connect the latest developments in neurobiology, engineering and computational fields in order to gain deeper understanding in both biological and artificial intelligence.
In this Research Topic, we welcome papers critically evaluating the existing methods related to biological mechanisms as well as engineering and computational aspects of neuronal network development, morphology and functions. We welcome scientists from different fields: neurobiology, computational and systems neuroscience and neural engineering. The work can be experimental or computational. Reviews and papers on philosophical and ethical issues are also encouraged.
While the scope of possible relevant topics is broad, the authors are encouraged to clearly indicate how their studies address the announced theme. The resulting collection of original research articles, reviews and commentaries will be a reference for recent development in bridging neurobiology, engineering and computational researches, fostering the research progress through discussions and new collaborations among the different researchers in our community.