Artificial Neuron Synaptic Realization of One Device with Transparent and Environmentally Friendly Materials

环境友好型 实现(概率) 计算机科学 生态学 数学 生物 统计
作者
Liqiang Guo,Guifa Zhang,Hui Han,Yongbin Hu,Guanggui Cheng
出处
期刊:Journal of Physical Chemistry C [American Chemical Society]
卷期号:126 (17): 7791-7798 被引量:2
标识
DOI:10.1021/acs.jpcc.2c02139
摘要

Recently, environmentally friendly materials have attracted attention for electronic applications especially for portable electronics. And synapse is the basic functional unit in the brain that connects the presynaptic and postsynaptica. As a potentially promising key component in circuits, artificial synaptic devices have been widely investigated. Here, a new type of organic material ionic polyurethane (i-PU) is used as the channel of thin-film transistors. By applying pulse voltages of different specifications to the gate electrode and drain electrode of the i-PU neuromorphic transistor, a variety of typical synaptic functions are simulated, including excitatory postsynaptic current and paired-pulse facilitation. Transitions from sensory memory (SM) to short-term memory (STM) and from STM to long-term memory (LTM) are also mimicked, demonstrating a "multistore model" brain memory. Therefore, the proposed i-PU neuromorphic transistor may find potential applications in "green" neurological systems and high-efficiency electronic biological devices.
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