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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, 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.
Cell Body
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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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The Synapse02:47

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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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Synaptic Signaling01:09

Synaptic Signaling

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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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Synaptic Signaling01:12

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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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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

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Spiking Neural P Systems with Communication on Request.

Linqiang Pan1,2, Gheorghe Păun3, Gexiang Zhang4,5,6

  • 11 Key Laboratory of Image Information Processing, and Intelligent Control of Education Ministry of China, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, Hubei, P. R. China.

International Journal of Neural Systems
|October 7, 2017
PubMed
Summary
This summary is machine-generated.

Spiking Neural Systems with Communication on Request use a novel spike-sharing strategy. These systems are computationally universal, matching Turing machines with two spike types.

Keywords:
Bio-inspired computingartificial neural networkmembrane computingspiking neural networksystem

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Area of Science:

  • Computational Neuroscience
  • Theoretical Computer Science

Background:

  • Spiking Neural Systems (SNS) model biological neurons communicating via spikes.
  • Traditional SNS consume and produce spikes based on neuron content and regular expressions.
  • Neuron communication relies on predefined spike transmission rules.

Purpose of the Study:

  • To propose a novel communication strategy for Spiking Neural Systems.
  • Introduce Spiking Neural Systems with Communication on Request (SNS-CR).
  • Investigate the computational power of the new model.

Main Methods:

  • Developed SNS-CR where spikes are requested based on neuron content (regular expressions).
  • Implemented a communication strategy involving spike movement and replication, not consumption or creation.
  • Analyzed the computational universality of SNS-CR.

Main Results:

  • SNS-CR demonstrate a novel communication paradigm within Spiking Neural Systems.
  • Spikes are efficiently managed through request-driven movement and replication.
  • SNS-CR are proven computationally universal, equivalent to Turing machines with two spike types.

Conclusions:

  • The Communication on Request strategy offers an alternative to traditional spike handling in SNS.
  • SNS-CR achieve Turing completeness, expanding the capabilities of spiking neural models.
  • Open research questions are identified for future exploration in SNS-CR.