Neuroinformatics as a megascience issue

  title={Neuroinformatics as a megascience issue},
  author={Francesco Beltrame and Stephen H. Koslow},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  • F. Beltrame, S. Koslow
  • Published 1 September 1999
  • Biology
  • IEEE Transactions on Information Technology in Biomedicine
The greatest increment in acquired knowledge about the brain has occurred in the last two decades, aided by technological advances in molecular biology, molecular genetics, brain imaging, and other new technologies brought about through the computer revolution. The amount of information being generated is increasing in an exponential fashion due to these and ether approaches used by the estimated 50000 neuroscientists working around the globe. These individual investigators working in small… 
Sharing neuroimaging studies of human cognition
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Neuroscience databases: tools for exploring brain structure-function relationships.
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An overview of current issues in the representation, integration and analysis of neuroscience data from molecular to brain systems levels, including issues of implementation, standardization, management, quality control, copyright, confidentiality and acceptance is presented.
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An overview of the scientific and practical difficulties inherent in managing various fMRI data-sharing approaches is provided and how a publicly accessible database enables other fields to develop relevant tools that can aid in the growth of understanding of cognitive processes.
Online workbenches for neural network connections
To optimize conceptual advances in systems neuroscience, it is important for the research and publishing communities to embrace three exercises: using defined nomenclatures; populating databases; and providing feedback to developers about improved design, performance, and functionality of knowledge management systems and associated visualization tools.
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A mathematical treatment of the neurological models and neural signal theories is formally described covering neural signal generation, pulse frequency modulation, and the multiplexer/demultiplexer for neural signal transmissions.
Evolving Cellular Neural Networks for the Automated Segmentation of Multiple Sclerosis Lesions
An innovative approach for the segmentation of brain images that contain multiple sclerosis (MS) white matter lesions is presented, using a genetic algorithm that evolves a Cellular Neural Network (CNN) for pattern recognition and can create 3D images of the brain regions affected by MS.
fMRI neuroinformatics
The handling, processing, and analysis of fMRI data would be inconceivable without computer-based methods, and fMRI neuroinformatics is concerned with research, development, and operation of these methods.
Craniofacial imaging informatics and technology development.
  • M. Vannier
  • Medicine
    Orthodontics & craniofacial research
  • 2003
The progress of craniofacial imaging will continue subject to limitations imposed by the underlying technologies, especially imaging informatics, and Disruptive technologies will play a major role in the evolution of this field.
A Neural Circuit Theory for Neuroinformatics and Brain-Machine Interactions
  • Yingxu Wang, Jin Jiu, Liu Lin
  • Psychology, Computer Science
    2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
  • 2019
A novel neural circuit theory for analytic neurology and formal neuroinformatics is presented, which explains the formation of temporal thinking threads, permanent memory, and knowledge representations in the brain and their interfaces to machines and neurocomputing systems.


1] Consensus Report of the OCED Megascience Forum Working Group on Biological Informatics—Subgroup on Neuroinformatics
  • 1] Consensus Report of the OCED Megascience Forum Working Group on Biological Informatics—Subgroup on Neuroinformatics
  • 1998