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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
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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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具有可配置突触可塑性的离子弹性突触

Sijie Zheng1, Zhong-Da Zhang2, Xiaowei Wang1

  • 1Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, College of Chemistry, Suzhou Key Laboratory of Soft Material and New Energy, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123, China.

Advanced materials (Deerfield Beach, Fla.)
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概括

研究人员使用离子elastomers和半导体聚合物开发了新的人工突触. 阴离子选择调整了突触可塑性,使得像图像识别这样的高精度神经网络任务具有更少的状态.

关键词:
人工突触灵活的电子设备离子弹性体记忆器

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科学领域:

  • 材料科学
  • 神经科学
  • 有机电子

背景情况:

  • 人工突触对于开发神经形态计算系统至关重要.
  • 现有的人工突触在塑性调节和能效方面经常面临挑战.
  • 有机异构结构为新的突触功能提供了潜力.

研究的目的:

  • 引入基于离子弹体和半导体聚合物的新类人造突触.
  • 研究离子物种在调节突触可塑性的作用.
  • 在模拟软神经网络的识别任务中展示这些人工突触的应用.

主要方法:

  • 一个有机异构结构的制造,包括一个离子弹体和一个半导体聚合物.
  • 通过对电刺激的空间再分配来调节突触重量.
  • 在手写数字和时尚图像识别任务中评估设备的性能.

主要成果:

  • 离子elastomer突触表现出通过阴离子选择控制的可调性突触可塑性.
  • 这些装置表现出持续可编程和不易飞的状态.
  • 在模拟软神经网络时获得了高的识别精度,可与理想模型相比,但只有16个离散状态.

结论:

  • 基于离子elastomer的有机异构结构代表了人工突触的有希望的新平台.
  • 阳离子选择提供了一种简单而有效的调节突触可塑性的方法.
  • 这些人造突触显示出高效准确的神经形态计算应用的潜力.