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Updated: May 4, 2026

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Long-range connectomics.

Saad Jbabdi¹, Timothy E Behrens

¹FMRIB Centre, University of Oxford, Oxford, United Kingdom.

Annals of the New York Academy of Sciences

|December 17, 2013

Summary

This summary is machine-generated.

Neuroscience aims to decode neural algorithms by understanding brain activity and connectivity. New in vivo tools offer noninvasive methods to measure structural and functional connections, aiding in deciphering the neural code.

Keywords:

brain connections chemical tracers tractography

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Area of Science:

Neuroscience
Computational Neuroscience

Background:

Decoding neural algorithms is a primary objective in neuroscience.
Brain computations depend on coordinated neural activity at local and long-range scales.
Understanding the brain activity-connectivity relationship is crucial for deciphering the neural code.

Purpose of the Study:

To discuss how recent technological advancements can aid in deciphering the neural code.
To highlight the role of new in vivo tools in neuroscience research.

Main Methods:

Review of technological advances in connectivity measurement techniques.
Focus on new in vivo tools for noninvasive measurement of structural and functional connections.

Main Results:

Significant technological progress has been made in measuring brain activity and connectivity.
Emerging in vivo tools enable noninvasive assessment of brain connections.

Conclusions:

New technologies, particularly in vivo tools, are pivotal for advancing our understanding of neural algorithms.
Continued development and application of these tools are essential for cracking the neural code.