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Related Experiment Video

Updated: May 19, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

New approaches to neural circuits in behavior.

Aleena Garner¹, Mark Mayford

¹Department of Cell Biology & Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, California 92037, USA.

Learning & Memory (Cold Spring Harbor, N.Y.)

|August 21, 2012

Summary

Neuroscience explores how the brain represents the world using advanced imaging and genetic tools. Researchers are decoding the neural translational code that links brain activity to external stimuli.

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Understanding how the brain encodes external information is a core challenge in neuroscience.
The brain-world interaction relies on a complex translational code that remains largely unelucidated.

Purpose of the Study:

To review recent advances in neuroscience research addressing how the brain represents the external world.
To explore the translational code by which neural systems represent external systems.

Main Methods:

Review of recent advances in neural activity imaging techniques.
Examination of genetic methods for altering and manipulating specific neural circuits.
Analysis of genetic tools for direct manipulation of neural activity.

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Last Updated: May 19, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

Main Results:

Recent technological and methodological advancements are providing new insights into neural representation.
Progress in imaging and genetic manipulation facilitates the study of brain-world interactions.
Emerging evidence points towards specific neural codes underlying sensory processing and perception.

Conclusions:

Advances in neuroimaging and genetic manipulation offer a promising path to understanding neural representation.
Further research integrating these tools is crucial for deciphering the brain's translational code.
Elucidating this code is fundamental to understanding how the brain models the external world.