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Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

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Related Experiment Video

Updated: Jun 9, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
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A Perspective on Neuroscience Data Standardization with Neurodata Without Borders.

Andrea Pierré1,2, Tuan Pham1,2, Jonah Pearl3

  • 1Department of Neuroscience, Division of Biology and Medicine, Brown University, Providence, Rhode Island 02912.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|September 18, 2024
PubMed
Summary
This summary is machine-generated.

Implementing the Neurodata Without Borders (NWB) standard streamlines neuroscience data management and sharing. Standardization enhances data literacy, transparency, and reproducibility in scientific research.

Keywords:
big data neurosciencecollaborative sciencedata science pipelinesdata standardization with neurodata without borders

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Area of Science:

  • Neuroscience
  • Data Science
  • Computational Biology

Background:

  • Neuroscience research generates large, complex datasets requiring advanced data science tools.
  • The Neurodata Without Borders (NWB) standard offers a solution for managing, analyzing, and sharing neurophysiology data.

Purpose of the Study:

  • To discuss the implementation of NWB data science pipelines within research labs.
  • To share experiences, challenges, and decisions in applying NWB standardization.
  • To provide guidance for the neuroscience community in bridging experimental and data science.

Main Methods:

  • Implementation of NWB data science pipelines.
  • Description of general principles and specific use cases.
  • Analysis of software engineering decisions.

Main Results:

  • Standardization with NWB involves significant design considerations.
  • Adoption of NWB promotes data awareness, literacy, transparency, rigor, and reproducibility.
  • Identified areas for improvement in NWB extensibility, publishing, and usability.

Conclusions:

  • NWB standardization is crucial for modern neuroscience data management.
  • Lab-wide standardization practices improve scientific rigor and reproducibility.
  • Feature suggestions aim to enhance NWB's utility for researchers and data users.