时空模式侵入性神经调控疗法中的靶向神经可塑性，以改善临床疗效。

IF 2.5 4区医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Frontiers in Neuroinformatics Pub Date : 2023-03-24 eCollection Date: 2023-01-01 DOI:10.3389/fninf.2023.1150157

Anders J Asp, Yaswanth Chintaluru, Sydney Hillan, J Luis Lujan

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Targeted neuroplasticity in spatiotemporally patterned invasive neuromodulation therapies for improving clinical outcomes.

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Targeted neuroplasticity in spatiotemporally patterned invasive neuromodulation therapies for improving clinical outcomes.

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来源期刊

Frontiers in Neuroinformatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

CiteScore

4.80

自引率

5.70%

发文量

132

审稿时长

14 weeks

期刊介绍： Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the École Polytechnique Fédérale de Lausanne are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neuroscience is being propelled into the information age as the volume of information explodes, demanding organization and synthesis. Novel synthesis approaches are opening up a new dimension for the exploration of the components of brain elements and systems and the vast number of variables that underlie their functions. Neural data is highly heterogeneous with complex inter-relations across multiple levels, driving the need for innovative organizing and synthesizing approaches from genes to cognition, and covering a range of species and disease states. Frontiers in Neuroinformatics therefore welcomes submissions on existing neuroscience databases, development of data and knowledge bases for all levels of neuroscience, applications and technologies that can facilitate data sharing (interoperability, formats, terminologies, and ontologies), and novel tools for data acquisition, analyses, visualization, and dissemination of nervous system data. Our journal welcomes submissions on new tools (software and hardware) that support brain modeling, and the merging of neuroscience databases with brain models used for simulation and visualization.