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Related Experiment Video

Updated: Dec 8, 2025

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

Diverse coactive neurons encode stimulus-driven and stimulus-independent variables.

Ji Xia¹, Tyler D Marks², Michael J Goard^2,3,4

¹Department of Physics, Washington University in St. Louis, St. Louis, Missouri.

Journal of Neurophysiology

|September 23, 2020

Summary

Neurons in the visual cortex encode both external stimuli and internal variables, largely independent of individual neuron reliability. Network models suggest clustered inputs drive this mixed representation.

Keywords:

neural encoding neural ensemble neuronal coactivation

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Related Experiment Videos

Last Updated: Dec 8, 2025

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

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Published on: June 2, 2014

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

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Published on: March 3, 2023

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Cortical neural activity is influenced by both external stimuli and internal variables, posing a challenge for understanding neural representations.
Distinguishing between these qualitatively different causes of neural fluctuations is a key hurdle in neuroscience.

Purpose of the Study:

To investigate how neural populations in the visual cortex represent stimulus-driven and stimulus-independent variables.
To determine the role of individual neuron response reliability and neuronal coactivation patterns in neural representation.

Main Methods:

Applied unsupervised low-rank tensor decomposition to population activity recorded from the visual cortex of awake mice.
Analyzed neural responses to repeated presentations of naturalistic visual stimuli.
Utilized recurrent balanced neural network models to explore underlying mechanisms.

Main Results:

Neurons covaried largely independently of individual stimulus response reliability, encoding both stimulus-driven and stimulus-independent variables.
Neuronal response reliability and coactivation patterns significantly reorganized in response to different external visual inputs.
Network models demonstrated that clustered external inputs can explain stimulus specificity and mixed encoding.

Conclusions:

Coactive neurons with diverse response reliability mediate a mixed representation of stimulus-driven and stimulus-independent variables in the visual cortex.
Individual neuron response reliability has a limited constraint on its encoding capacity.
External visual stimuli play a crucial role in shaping neuronal reliability and coactivation patterns.