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Neuroanatomical Tract-Tracing
The first two editions of this title had a tremendous impact in neuroscience. Between the Second edition in 1989 and today, there has been an explosion of information in the field, including advances in molecular techniques, such as genomics and proteomics, which have become increasing important in neuroscience. A renaissance in fluorescence has occurred, driven by the development of new probes, new microscopes, live imagers, and computer processing. The introduction of new markers has enormously stimulated the field, moving it from tissue culture to neurophysiology to functional MRI techniques.
Producing and Analyzing Macro-Connectomes: Current State and Challenges
Construction of comprehensive and detailed brain regions neuroanatomical connections matrices (macro-connectomes) is necessary to understand how the nervous system is organized and to elucidate how its different parts interact. Macro-connectomes also are the structural foundation of any finer granularity approaches at the neuron classes and types (meso-connectomes) or individual neuron (micro-connectomes) levels. The advent of novel neuroanatomical methods, as well as combinations of classic techniques, form the basis of several large scale projects with the ultimate goal of producing publicly available connectomes at different levels. A parallel approach, that of systematic and comprehensiv...
Recent Developments in Neuroanatomical Terminology
The present series of papers are meant to provoke discussion on neuroanatomical terminology. After publication of the Terminologia Neuroanatomica (TNA 2017; http://FIPAT.library.dal.ca) and its recent ratification by the International Federation of Associations of Anatomists (IFAA), August 9 in London (UK), several neuroscientists were invited to give their views on this new official IFAA terminology. This resulted in 12 papers and one commentary on the following topics: (A) Further development of a developmental ontology; (B) Common terminology for cerebral cortex and thalamus; (C) White matter tracts; and (D) Neuron types. The suggestions made to improve the TNA will be considered in the next version of the TNA. Neuroanatomical terminology should remain an actively ongoing endeavor and concerns all using this nomenclature, whether in Latin, English or other languages.
Navigating the Landscape of FAIR Data Sharing and Reuse: Repositories, Standards, and Resources
The huge volume of neuroscience data and the wide variety of data formats generated across different neuroscience communities has posed a challenge to traditional methods of data management, data sharing and data mining. Mandates on data sharing and the demand for using open data has driven the development of advanced methodologies and tools to effectively explore, mine and integrate data. However, the growing number of resources make it harder for researchers to navigate this landscape. Awareness of these tools and resources is vital for effective data mining and unlocking new discoveries. The goal of this research collection is to provide an overview of available resources, centred around making data findable, accessible, interoperable and reusable (FAIR).
Databasing the Brain
Covers both basic principles and specific applications across a range of problems in brain research. It truly integrates neuroscience with informatics, providing a means for understanding the new analytical tools and models of neuronal functions now being developed. Each chapter offers practical guidance for applying this knowledge to current research, enhancing electronic collaborations, and formulating hypotheses.
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Archives Internationales de Photogrammťrie
Vols. contain the proceedings, reports and reprints of papers of the Congress.
