Aims and Scope

FMDB Transactions on Sustainable Neuroscience Letters (FTSNL) offers a platform for articles that lie at the crossroads of computational and experimental neuroscience research. Full-length original papers, fast communications, and reviews on theoretical and experimental studies related to brain and nervous system computations are published in FTSNL. Research papers that integrate theory and experiment are especially welcomed. The primary focus of a theoretical study should be on a topic that has clear implications for biological nerve systems. Experimental studies may provide results from any of several methods, including anatomy, electrophysiology, biophysics, imaging, molecular biology, and chemistry, so long as they have implications for the computational function of the nervous system. We also invite papers that examine the physiological mechanisms driving nervous system disorders and present breakthrough technologies of relevance to computational neuroscience researchers, such as advances in neural data analysis approaches that provide light on nervous system function. for example, methodological papers should include an application of the new method, exemplifying the insights that it yields. The FTSNL will likely include participants with expertise ranging from cognitive to molecular levels of study.

Topics include, but are not limited to, the following areas:

• Presentations of signal-processing algorithms
• Purely methodological/biomedical applications
• Brain-computer interfaces/seizure detection
• Computational analysis of genomic data
• Neural mechanisms of brain function
• Learning algorithms/architectures
• Deep nets/ learning theory/ network dynamics
• Optimization/multidisciplinary self-organization
• Biological neural network modelling
• Hybrid neural/fuzzy logic/genetic systems
• Systems in classification/pattern recognition
• Signal processing, image and video processing
• Robotics, control/autonomous vehicles
• Financial forecasting/big data analytics