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Updated: Jan 23, 2026

Facile Synthesis of Colloidal Lead Halide Perovskite Nanoplatelets via Ligand-Assisted Reprecipitation
04:14

Facile Synthesis of Colloidal Lead Halide Perovskite Nanoplatelets via Ligand-Assisted Reprecipitation

Published on: October 1, 2019

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生物启发的尖峰时刻依赖的可塑性学习与金属化佩罗夫斯基特:朝着人工突触功能

Mostafa Shooshtari1, So-Yeon Kim2, Saeideh Pahlavan1

  • 1Instituto de Microelectrónica de Sevilla, IMSE-CNM, (CSIC Universidad de Sevilla), Av. Américo Vespucio 28, 41092 Sevilla, Spain.

ACS applied materials & interfaces
|January 22, 2026
PubMed
概括

化矿记忆器可以通过尖端时间依赖可塑性 (STDP) 模仿大脑学习. 这种材料可以实现稳定,耐噪声的突触学习,用于在没有外部编程的情况下进行高级的神经形态计算.

关键词:
化佩洛夫斯基特的记忆器神经形态计算是一种神经形态计算.噪音 强度 稳固性峰值时间依赖的可塑性 (STDP)突触性可塑性 突触性可塑性这是一个三重的STDP.

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