Ti-Fen Pan1, Jing-Jing Li2, Bill Thompson3

  • 1Department of Psychology, University of California, Berkeley, USA. tfpan@berkeley.edu.

PubMed
概括

这项研究引入了一种基于模拟的新方法,使用循环神经网络从认知模型中提取动态潜变量,即使是那些具有复杂,难以处理的可能性,从而推进认知过程研究.

相关概念视频

Per-Unit Sequence Models01:26

Per-Unit Sequence Models

An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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Cognitive Learning01:21

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Neural Circuits01:25

Neural Circuits

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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