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cover of episode Your Brain Doesn’t Work the Way You Think

Your Brain Doesn’t Work the Way You Think

2024/12/23
logo of podcast Freakonomics Radio

Freakonomics Radio

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David Eagleman
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Steve Levitt
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Steve Levitt: 人脑的可塑性及其应用是本期节目的核心议题。David Eagleman教授的研究成果彻底改变了我对人脑及其潜力的理解。他提出的"活线"概念,强调了人脑不断变化和适应的能力,这与传统的"可塑性"概念相比,更能体现人脑的动态特性。 David Eagleman的研究涵盖了多个方面,包括回声定位、梦境、感官替代技术以及人工智能等。他通过对这些现象的研究,深入探讨了人脑的运作机制,以及人脑在面对信息输入和环境变化时的适应能力。 David Eagleman: 我将人脑的这种特性称为"活线",因为它更能准确地描述人脑神经元连接的动态变化过程。人脑并非预先编程的机器,而是在后天经验中不断塑造的。我们的大脑在出生时并不完整,而是在与世界的互动中不断学习和发展。 大脑皮层具有高度的可塑性,可以适应各种输入信息,并重新分配其功能。即使缺失一半大脑,人脑也能正常运作,这体现了人脑的惊人恢复能力。 盲人可以通过回声定位来"看见"世界,这是大脑可塑性的一个典型例子。通过短暂的训练,人们就能学会回声定位,并利用视觉皮层处理回声信息。 快速眼动睡眠(REM睡眠)期间,大脑会向视觉皮层发送随机活动,从而产生梦境。梦境是视觉系统在夜间自我保护的一种机制,以防止其他感官系统对其功能的侵占。REM睡眠的时长与物种的可塑性程度正相关。 Neosensory公司开发的触觉设备可以将声音转化为触觉信息,帮助聋人"听到"声音。该设备不需要大量的训练,使用者可以通过自然地与世界互动来学习使用该设备。使用一段时间后,聋人可以将触觉信息感知为声音,而非仅仅是腕带上的震动。 Neosensory的腕带设备还可以帮助缓解耳鸣症状。通过腕带设备产生的触觉反馈,大脑可以区分真实声音和耳鸣,从而减轻耳鸣症状。 目前市面上已经有一些感官替代技术产品,例如脑端口和vOICe应用。 Neuralink公司正在尝试通过植入电极来读取和写入大脑信号。未来脑科学研究的关键在于获取更多的大脑数据,而纳米机器人技术可能成为实现这一目标的关键。 大型语言模型虽然强大,但其本质上是统计学上的鹦鹉,缺乏对世界的理解和建模能力。未来一百年,神经科学领域将会有一个理论框架的整合,从而简化对大脑的理解。行为经济学的研究方法对神经科学研究具有借鉴意义,可以帮助我们更好地理解人类行为背后的神经机制。人类的决策过程是一个复杂的系统,其中多个神经网络相互竞争,最终的结果是这些网络相互作用的结果。大脑的运作机制虽然复杂,但其基本原理应该相对简单,因为其在数十亿个个体中都能有效运作。

Deep Dive

Key Insights

Why does David Eagleman prefer the term 'live-wired' over 'plasticity' to describe the brain's adaptability?

Eagleman argues that 'plasticity' underreports the brain's constant reconfiguration and adaptability. The term 'live-wired' better captures the brain's dynamic nature, where neurons are continuously changing, strengthening, and reconfiguring connections.

How does the brain reorganize itself when a person loses a sense, such as vision?

When a person loses vision, the brain's visual cortex can be repurposed for other senses like hearing or touch. The neurons in the visual cortex adapt to process new types of input, demonstrating the brain's flexibility.

What is the significance of REM sleep according to David Eagleman?

REM sleep, during which dreaming occurs, serves to protect the visual system from being overtaken by other senses during the night. The brain generates random activity in the visual cortex to keep it active and prevent other senses from encroaching.

How does Neosensory's wristband technology help deaf individuals?

The wristband captures sound, breaks it into high and low frequencies, and translates it into vibrations on the wrist. This allows deaf individuals to 'hear' through touch, similar to how the inner ear processes sound.

What is the theory behind how the Neosensory wristband helps with tinnitus?

The wristband plays tones that correlate with vibrations on the skin, helping the brain distinguish between real sounds and the phantom ringing of tinnitus. This reduces the perception of tinnitus by teaching the brain that the ringing lacks external confirmation.

What is synesthesia, and how common is it?

Synesthesia is a condition where one sense triggers another, such as seeing colors when hearing music. It affects about 3% of the population and is caused by slight crosstalk between neighboring brain regions.

Why does David Eagleman believe traditional classroom teaching methods are outdated?

Eagleman argues that traditional teaching, which focuses on 'just-in-case' information, is less effective than modern methods that leverage curiosity and 'just-in-time' learning. Students today can instantly access information, making learning more efficient and engaging.

What is Eagleman's view on the future of neuroscience in 100 years?

Eagleman predicts that neuroscience will simplify its current data-heavy approach into a more theoretical framework. Instead of a 900-page textbook, he envisions a 90-page summary of fundamental principles that explain the brain's complexity.

What does Eagleman mean by 'possibilianism'?

Possibilianism is a philosophy that embraces the unknown and encourages exploration of the vast possibility space beyond strict atheism or religion. It advocates for an active search for answers rather than committing to fixed beliefs.

What is the main limitation of current large language models like ChatGPT?

Large language models lack a theory of mind and a physical model of the world. They operate as statistical parrots, predicting the next word based on patterns, but they don't understand the world in the way humans do.

Shownotes Transcript

David Eagleman upends myths and describes the vast possibilities of a brainscape that even neuroscientists are only beginning to understand. Steve Levitt interviews him in this special episode of People I (Mostly) Admire.