The field of computational neuroscience is ever-evolving, with a significant area of research being the modelling of single neurons and neuronal networks. The primary aim of this modelling is to gain insights into both the standalone functioning of individual neurons and their collective role and activity within intricate networks in the brain.
With this Research Topic, we aim to address the need and challenges for more accurate and comprehensive models of single neurons and neuronal networks, which can lead to a deeper understanding of brain operations. To drive this goal forward, we seek contributions that present novel modelling strategies, provide improved interpretations of neuronal behaviour and interplay, and explore potential implications for treating neurological conditions.
We invite authors to submit research articles, methodology papers, and reviews focusing on these areas:
• Innovative methods in single neuron modelling
• Techniques for simulating neuronal networks
• Interplay between detailed single neuron models and neuronal networks description
• Using such models to understand neurological health and disorders
• Machine learning approaches related to neural modelling
By addressing these points, we hope to advance the field of computational neuroscience and refine our grasp on the brain's complex network and activities.
Keywords:
computational neuroscience, neuronal networks, single neuron modelling, brain operations, neural modelling techniques
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.
The field of computational neuroscience is ever-evolving, with a significant area of research being the modelling of single neurons and neuronal networks. The primary aim of this modelling is to gain insights into both the standalone functioning of individual neurons and their collective role and activity within intricate networks in the brain.
With this Research Topic, we aim to address the need and challenges for more accurate and comprehensive models of single neurons and neuronal networks, which can lead to a deeper understanding of brain operations. To drive this goal forward, we seek contributions that present novel modelling strategies, provide improved interpretations of neuronal behaviour and interplay, and explore potential implications for treating neurological conditions.
We invite authors to submit research articles, methodology papers, and reviews focusing on these areas:
• Innovative methods in single neuron modelling
• Techniques for simulating neuronal networks
• Interplay between detailed single neuron models and neuronal networks description
• Using such models to understand neurological health and disorders
• Machine learning approaches related to neural modelling
By addressing these points, we hope to advance the field of computational neuroscience and refine our grasp on the brain's complex network and activities.
Keywords:
computational neuroscience, neuronal networks, single neuron modelling, brain operations, neural modelling techniques
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.