Advances in Computational Neuroscience

Computational Neuroscience combines mathematical analyses and computer simulations with experimental neuroscience, to develop a principled understanding of the workings of nervous systems and apply it in a wide range of technologies. The Organization for Computational Neuroscience (OCNS) promotes meetings and courses in computational neuroscience and organizes the Annual CNS Meeting which serves as a forum for young scientists to present their work and to interact with senior leaders in the field. In this Research Topic we collect highlights from the 28th Annual Computational Neuroscience Meeting CNS*2019, 13 to 17 July 2019 in Barcelona, Spain.

Since the seminal works of Hodgkin and Huxley on models of electrically active neuron membranes and the visionary ideas of David Marr, Computational Neuroscience has rapidly developed into a strongly interdisciplinary field of research where theoreticians, computational scientists and experimenters work in close collaboration, using models and experimental data at multiple different scales. The works collected in this topic come together in linking the diverse fields of cell and molecular biology, neuroscience, cognitive science, and psychology with electrical engineering, computer science, mathematics, and physics.

All contributors to #CNS2019Barcelona are strongly encouraged to submit their work to the Research Topic, however, the topic is open to anyone.

Keywords: Computer, Simulation, Theory, Modeling

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.