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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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Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
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Electrical Synapses01:28

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Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
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Synaptic Signaling01:09

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Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
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Postsynaptic Potential (PSP)01:32

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Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
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Measuring Stimulus Information Transfer Between Neural Populations through the Communication Subspace.

Oren Weiss1,2, Ruben Coen-Cagli1,2,3

  • 1Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.

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Summary
This summary is machine-generated.

Neural response variability impacts sensory information transmission between brain areas. This study introduces a mathematical framework to analyze how this variability affects communication, offering insights into information routing and gating.

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Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience
  • Information Theory

Background:

  • Sensory information processing relies on neural communication across brain areas.
  • Shared neural response variability within populations limits stimulus information representation.
  • The effect of this variability on interareal communication remains unclear.

Purpose of the Study:

  • To develop a mathematical framework for understanding neural population response variability's impact on sensory information transmission.
  • To investigate how variability affects interareal communication in the brain.

Main Methods:

  • Combined linear Fisher information with the communication subspace framework.
  • Partitioned Fisher information based on the alignment of population covariance and mean tuning direction.
  • Performed mathematical and numerical analyses of the proposed Fisher information decomposition.

Main Results:

  • Developed a method to partition Fisher information, revealing how variability influences information transmission.
  • Demonstrated theoretical scenarios for flexible routing and gating of sensory information using communication subspaces.
  • Quantified the relationship between neural variability and the fidelity of interareal communication.

Conclusions:

  • The proposed framework provides a theoretical lens for understanding sensory information transmission between brain areas.
  • This work guides experimental design for investigating interareal communication.
  • Highlights the role of communication subspaces in modulating information flow modulated by neural variability.