Neuroinformatics stands at the intersection of neuroscience and information science. With the diversity of the data generated in neuroscience, going from the genetic and molecular level to cognitive functions and the diversity of acquisition systems, the necessity of developing software tools, ontologies, and standards to describe the data appears crucial for better integration of these heterogeneous data for further understanding the brain.
Neuroinformatics leverages theoretical achievements of applied mathematics, computer science, and engineering to cope with the inherent complexity of real neuroscience experiments. Neuroinformatics stands firmly on the developments in neurophysiology, brain imaging, and microscopy to contribute to deciphering the secrets of the brain and the human mind.
Signal processing and applied mathematical methods go hand-in-hand with data-driven approaches and artificial intelligence. They enable crucial developments in the field of neuroscience, and further our understanding of the brain.
This Special Issue is dedicated to cutting-edge research in data structures, neuroinformatic databases, machine learning, and analysis pipelines combined with advanced signal processing algorithms.
We invite and welcome review, expository, and original research articles dealing with the recent advances in the application of the following topics to neuroscience:
- Signal processing and image analysis;
- Applied mathematics and modelling;
- Statistical inference methods and machine learning;
- Neuroinformatics analysis pipelines, data structures, and standards
It is a prerequisite that the code used in the papers be available in a public repository.
Dr. Dimiter Prodanov
Prof. Dr. Newton Howard