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Related Concept Videos

Neuronal Communication01:28

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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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Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
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Biopsychology serves as a vital bridge connecting the intricate domains of biology and psychology, shedding light on how biological systems influence psychological phenomena. This field scrutinizes the biological substrates of behavior and mental processes, emphasizing the nervous system along with the roles of neurotransmitters, hormones, and genetics. It also incorporates evolutionary perspectives to explain the adaptive nature of mental functions.
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Neural Circuits01:25

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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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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Biological function simulation in neuromorphic devices: from synapse and neuron to behavior.

Hui Chen1, Huilin Li2, Ting Ma2

  • 1Heart Center of Henan Provincial People's Hospital, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, P. R. China.

Science and Technology of Advanced Materials
|March 17, 2023
PubMed
Summary
This summary is machine-generated.

Brain-inspired computing, using neuromorphic devices like memristors, mimics brain functions such as synaptic plasticity and neurons. This review covers progress, challenges, and future prospects in this exciting field.

Keywords:
Neuromorphic computingartificial intelligencememristorneuronsynapse

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Area of Science:

  • Neuroscience
  • Materials Science
  • Computer Engineering

Background:

  • The exponential growth in data necessitates novel computing paradigms.
  • Brain-inspired computing offers a promising solution to current data storage and processing limitations.
  • Neuromorphic devices, particularly memristors, are key to advancing this field due to their brain-emulating capabilities.

Purpose of the Study:

  • To review the progress of neuromorphic devices in mimicking brain functions.
  • To focus on synaptic plasticity, neuronal functions, and intelligent behaviors.
  • To present current challenges and future prospects in neuromorphic device development.

Main Methods:

  • Review of existing literature on neuromorphic devices and brain function emulation.
  • Analysis of memristor properties for synaptic plasticity.
  • Examination of devices mimicking sensory neurons and intelligent behaviors like conditioned reflexes.

Main Results:

  • Neuromorphic devices, especially memristors, show significant potential in emulating synaptic plasticity triggered by electrical or optical stimuli.
  • Progress has been made in developing devices that mimic sensory nervous system functions.
  • Demonstrations of intelligent behaviors, such as conditioned reflexes, using neuromorphic systems have been reported.

Conclusions:

  • Neuromorphic devices offer a viable path toward efficient brain-inspired computing.
  • Further research is needed to overcome challenges in device stability, scalability, and integration.
  • The field holds significant promise for future advancements in artificial intelligence and computing architectures.