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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

518
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
518
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

72
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
72
Cognitivism01:17

Cognitivism

1.4K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
1.4K

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相关实验视频

Updated: Jul 15, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

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人工神经网络用于计算认知模型中的模型识别和参数估计.

Milena Rmus1, Ti-Fen Pan1, Liyu Xia1

  • 1UC Berkeley.

bioRxiv : the preprint server for biology
|September 28, 2023
PubMed
概括

人工神经网络 (ANN) 提供了一种用于认知模型的新方法,绕过复杂的概率计算. 这种方法可以对以前难以处理的认知模型进行定量分析,从而推进计算认知科学.

科学领域:

  • 计算性认知科学计算性认知科学
  • 认知建模认知建模
  • 人工智能的人工智能是人工智能.

背景情况:

  • 认知模型通过参数正式化了人类信息处理和个人差异.
  • 模型比较确定了最能解释经验数据的理论.
  • 传统的认知建模依赖于概率估计,这对于许多复杂模型来说是计算难以处理的.

结论:

  • 人工神经网络为配合复杂的认知模型提供了可行的替代方案.
  • 这种基于模拟的方法扩大了定量认知建模的范围.
  • 研究人员现在可以探索更广泛的认知理论及其参数.

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