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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

453
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...
453
Neuronal Communication01:28

Neuronal Communication

818
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
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Neural Circuits01:25

Neural Circuits

1.1K
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.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.1K
Reason and Intuition01:37

Reason and Intuition

6.4K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.4K
Integration of Synaptic Events01:28

Integration of Synaptic Events

1.5K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
1.5K
Control Systems01:10

Control Systems

1.1K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.1K

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On the Role of Theory and Modeling in Neuroscience.

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相关实验视频

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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神经动力计算在智能系统的信息边界处

Joseph D Monaco1, Grace M Hwang2

  • 1Dept of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD USA.

Cognitive computation
|August 12, 2024
PubMed
概括

生物智能对人工智能来说仍然是难以捉摸的. 这种观点建议从脑即计算机模型转向动态系统方法,整合体现认知和感知控制理论,以获得对神经计算的新理解.

科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 人工智能的人工智能

背景情况:

  • 当前的人工智能 (AI) 模型缺乏生物智能的关键特征.
  • 认知主义的大脑即计算机理论存在方法论和认识论方面的偏见.
  • 现有的框架无法完全捕捉神经机制的复杂性.

研究的目的:

  • 挑战现有的AI和认知科学范式.
  • 为理解生物智能提出一个替代框架.
  • 为了弥合计算神经科学中的理论差距.

主要方法:

  • 合成智能系统的历史方法.
  • 集成动态系统理论和感知控制理论.
  • 将细胞组件重新构想为重新进入的动态流.

主要成果:

  • 在认知论和脑为计算机理论中发现了局限性.
  • 提出的细胞组合作为最小的超神经元组织水平.
  • 突出了体现和情境嵌入在神经计算中的作用.

结论:

  • 对人工智能和神经科学来说,转向体内认知和动态系统是必要的.
关键词:
人工智能的人工智能是人工智能.计算神经科学是一种计算神经科学.动态系统是动态系统.嵌入式认知 嵌入式认知感知控制理论是感知控制理论.机器人技术 机器人技术 机器人技术

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Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
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  • 回流动的动态流 (细胞组件) 为计算提供了一个神经动力学基础层.
  • 这种综合方法可以克服人工智能研究中的神经象征性局.