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Related Concept Videos

Neuronal Communication01:28

Neuronal Communication

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Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
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Updated: Mar 21, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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Correlations and Neuronal Population Information.

Adam Kohn1,2, Ruben Coen-Cagli3, Ingmar Kanitscheider3,4,5

  • 1Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461;

Annual Review of Neuroscience
|May 6, 2016
PubMed
Summary
This summary is machine-generated.

Understanding neuronal population activity requires analyzing noise correlations. This review clarifies how these correlations impact information coding and suggests linking neural descriptions to specific functions for better theoretical frameworks.

Keywords:
Fisher informationdecodingneural codingneural variabilityperceptiontheoretical neuroscience

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neuronal population activity underlies brain function.
  • Measuring population activity across brain regions is crucial.
  • Noise correlations, pairwise relationships in neuronal populations, are a key focus.

Purpose of the Study:

  • Review progress in understanding noise correlations.
  • Examine how correlations affect population information.
  • Discuss information quantification and correlation mechanisms.

Main Methods:

  • Literature review of recent advancements in population coding theory.
  • Analysis of theoretical frameworks for neuronal population responses.
  • Synthesis of findings on information processing and neural correlations.

Main Results:

  • Population coding theory highlights that not all correlations equally impact information.
  • Specific correlation structures are more significant for information transmission.
  • Theoretical frameworks need better functional grounding.

Conclusions:

  • Descriptions of neuronal population responses must be functionally motivated.
  • Current theoretical models have limitations in explaining functional impact.
  • Future research should integrate functional specifications with correlation analysis.