The advent of artificial intelligence and robotics platforms requiring human behaviors has expanded the development of devices mimicking neural functions. In the last years, several industrial applications based on artificial intelligence have emerged, nevertheless they are mainly based on well-established technologies and classical computational paradigms. One of the main challenges for the next expansion of AI models is drawing inspiration from the way human brain works to develop combined platforms emulating neuronal computation. In this Research Topic, we will explore different aspects of brain-inspired computing, from neurophysiology to neuro-electronics feeding the new generation of artificial neural networks.
The high level of interdisciplinarity of this Research Topic allows to explore different areas of research which are apparently distant form each other while maintaining a common thread given by the performances shown by the brain, from energy consumption to highly parallelized cognitive tasks. We will host articles focused on the analysis of the computational properties of neural microcircuits and networks as well as investigating computational paradigms exploited by neural circuits. Furthermore, works presenting new neuromorphic electronic devices and architectures are more than welcome. Articles showing neuromorphic materials mimicking synaptic and neuronal behaviors are also welcome. In addition, theoretical studies investigating the amazing capabilities of human brain and suggesting new computational paradigms to be employed in modern artificial intelligence applications will be taken into account.
The advent of artificial intelligence and robotics platforms requiring human behaviors has expanded the development of devices mimicking neural functions. In the last years, several industrial applications based on artificial intelligence have emerged, nevertheless they are mainly based on well-established technologies and classical computational paradigms. One of the main challenges for the next expansion of AI models is drawing inspiration from the way human brain works to develop combined platforms emulating neuronal computation. In this Research Topic, we will explore different aspects of brain-inspired computing, from neurophysiology to neuro-electronics feeding the new generation of artificial neural networks.
The high level of interdisciplinarity of this Research Topic allows to explore different areas of research which are apparently distant form each other while maintaining a common thread given by the performances shown by the brain, from energy consumption to highly parallelized cognitive tasks. We will host articles focused on the analysis of the computational properties of neural microcircuits and networks as well as investigating computational paradigms exploited by neural circuits. Furthermore, works presenting new neuromorphic electronic devices and architectures are more than welcome. Articles showing neuromorphic materials mimicking synaptic and neuronal behaviors are also welcome. In addition, theoretical studies investigating the amazing capabilities of human brain and suggesting new computational paradigms to be employed in modern artificial intelligence applications will be taken into account.