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Related Concept Videos

Prosopagnosia01:24

Prosopagnosia

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Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
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Perspectives on Neuroscience
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Neuron devices: emerging prospects in neural interfaces and recognition.

Yang Wang1, Shuangjie Liu1, Hao Wang1

  • 1Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, 300072 Tianjin, China.

Microsystems & Nanoengineering
|December 12, 2022
PubMed
Summary

This review covers advances in neuron interface devices for neuroscience and brain-computer interfaces. These devices are crucial for understanding neural activity and treating neurological disorders.

Keywords:
Artificial sensory neuron devicesBrain-computer interfacesNeural electrodesNeuron interface devicesRecognition

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Devices

Background:

  • Neuron interface devices are vital for exploring neuron firing and synaptic transmission.
  • High sensitivity, biocompatibility, multifunctional integration, and high-speed data processing are critical for effective neuron devices.
  • Significant progress has been made in neural electrodes, artificial sensory neuron devices, and neuromorphic optic neuron devices.

Purpose of the Study:

  • To provide an overview of recently developed neuron interface devices.
  • To discuss their applications in neuromodulation, sensory system simulation, memory, and recognition.
  • To elucidate key points for clinical translation and highlight advances in brain-computer interfaces and neuroscience research.

Main Methods:

  • Review of recent developments in neuron interface devices.
  • Discussion of characteristics, functional mechanisms, and applications.
  • Analysis of progress in neural electrodes, artificial sensory neuron devices, and neuromorphic optic neuron devices.

Main Results:

  • Overview of neuron interface devices for electrophysiological signal recording.
  • Exploration of applications in neuromodulation, sensory simulation, memory, and recognition.
  • Identification of key factors for clinical translation of neuron devices.

Conclusions:

  • Neuron interface devices are advancing rapidly, with significant progress in various types of neural technologies.
  • These devices hold great promise for diagnosing and treating neurological disorders and enhancing neuroscience research.
  • Further development is needed to optimize devices for clinical translation and broader application in brain-computer interfaces.