cover of episode Dr. Terry Sejnowski: How to Improve at Learning Using Neuroscience & AI

Dr. Terry Sejnowski: How to Improve at Learning Using Neuroscience & AI

2024/11/18
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Terry Sejnowski
世界著名的计算神经科学家,专注于理解大脑与行为之间的原理,并开发工具来提高学习能力。
安德鲁·休伯曼
Topics
休伯曼博士介绍了本期节目的主题和嘉宾Terry Sejnowski博士的研究方向,并简要概括了Sejnowski博士的研究成果,包括大脑的动机行为由一个简单的算法或等式控制,这与多巴胺有关;以及如何利用AI工具来获取新信息、生成想法、预测未来以及辅助分析健康数据和做出与健康相关的决策。 Sejnowski博士详细解释了大脑如何学习,以及如何利用神经科学和AI的原理来改进学习方法。他介绍了基底神经节在学习中的作用,以及价值函数在学习过程中的重要性。他还解释了程序性学习和认知学习的区别,以及如何结合这两种学习方式来提高学习效率。此外,他还介绍了睡眠纺锤波在记忆巩固中的作用,以及如何通过药物或运动来增加睡眠纺锤波的数量。 Sejnowski博士还讨论了AI在学习和创造力方面的应用,以及如何利用AI工具来分析研究、预测结果和辅助医疗诊断。他还探讨了年龄、技术和社交媒体对学习的影响,以及如何通过运动来改善线粒体功能和认知能力。最后,他还探讨了意识和自由意志等哲学问题,以及AI的未来发展方向。 Sejnowski博士详细阐述了其在神经科学和人工智能领域的开创性研究,并分享了其在学习方法、大脑功能和疾病治疗方面的实用工具。他强调了算法在理解大脑功能中的重要性,并以基底神经节学习动作序列为例,解释了大脑如何通过预测奖励和惩罚来学习和改进行为。他还深入探讨了程序性学习和认知学习的区别,以及如何通过结合这两种学习方式来提高学习效率。 Sejnowski博士还介绍了其开发的免费在线课程“学习如何学习”,该课程帮助学生和各行各业的人们改进学习方法。他解释了睡眠纺锤波在记忆巩固中的作用,以及如何通过运动和药物来提高睡眠质量和记忆力。此外,他还讨论了AI在学习、创造力和医疗领域的应用,以及如何利用AI工具来分析研究、预测结果和辅助医疗诊断。 Sejnowski博士还探讨了年龄、技术和社交媒体对学习的影响,以及如何通过运动来改善线粒体功能和认知能力。他还分享了自己通过特定类型的运动来增强认知能力的经验。最后,他还探讨了意识和自由意志等哲学问题,以及AI的未来发展方向,包括其在预测未来和辅助科学研究方面的潜力。

Deep Dive

Key Insights

Why is understanding the algorithmic level of brain function important?

The algorithmic level is crucial because it bridges the gap between the implementation details of neural circuits and the overall behavior of the brain. Algorithms, like recipes, provide a step-by-step understanding of how neural circuits function, which is essential for understanding complex cognitive behaviors.

How does the basal ganglia contribute to learning and behavior?

The basal ganglia are involved in learning sequences of actions to achieve goals. It uses a simple algorithm to predict the next reward based on actions, updating synaptic plasticity to improve future actions and building a value function that guides behavior.

What role does dopamine play in motivation and learning?

Dopamine is a neuromodulator that drives motivation and learning by signaling the value of actions and outcomes. It updates the value function in the brain, which helps in making better decisions for future rewards.

How does procedural learning differ from cognitive learning?

Procedural learning is automatic and efficient, involving subcortical structures like the basal ganglia, and is essential for tasks that require quick execution. Cognitive learning is slower and involves conscious thought, relying on cortical areas for problem-solving and decision-making.

What is the significance of sleep spindles in memory consolidation?

Sleep spindles are waves that travel through the cortex during non-REM sleep and are crucial for consolidating experiences into long-term memory. They help integrate new experiences with existing knowledge without overwriting it.

How can AI be used to improve learning and knowledge acquisition?

AI can be used to forage for new information, generate ideas, predict future outcomes, and assist in analyzing health data. It can also help in understanding complex cognitive behaviors by providing insights that are difficult to obtain through traditional methods.

What are the potential benefits and drawbacks of using drugs like Ambien for learning?

Ambien can increase sleep spindles, enhancing memory consolidation and recall. However, it can also cause temporary amnesia and dissociative effects, making it a double-edged tool for learning.

How does exercise impact cognitive function and mitochondrial health?

Exercise is the best drug for improving cognitive function and mitochondrial health. It rejuvenates the brain, enhances immune function, and benefits every organ system. Regular exercise can also help maintain vigor and cognitive velocity as we age.

What is the relationship between ketamine and schizophrenia?

Ketamine induces symptoms similar to schizophrenia, such as psychosis and auditory hallucinations, by binding to NMDA receptors and causing overexcitation. This similarity suggests that schizophrenia may involve an imbalance between excitatory and inhibitory systems in the brain.

How can AI be leveraged to predict future outcomes in complex systems?

AI can analyze vast amounts of data and simulate different scenarios to predict future outcomes. For example, it can predict hurricane landfall locations more accurately than traditional methods by learning from historical data and simulations.

Chapters
Dr. Sejnowski discusses the different levels of brain function, from molecular to the entire central nervous system. He emphasizes the importance of understanding the algorithmic level, which lies between the implementation level and the behavioral level.
  • Motivation is governed by a simple algorithm related to dopamine and reward prediction.
  • The basal ganglia plays a crucial role in learning sequences of actions and thoughts, contributing to skill development and expertise.
  • Learning involves updating a "value function" that guides behavior based on past experiences.

Shownotes Transcript

In this episode, my guest is Dr. Terry Sejnowski, Ph.D.), professor of computational neurobiology at the Salk Institute for Biological Studies. He is world-renowned for exploring how our brain processes and stores information and, with that understanding, for developing tools that enable us to markedly improve our ability to learn all types of information and skills.

We discuss how to learn most effectively in order to truly master a subject or skill. Dr. Sejnowski explains how to use AI tools to forage for new information, generate ideas, predict the future, and assist in analyzing health data and making health-related decisions.

We also explore non-AI strategies to enhance learning and creativity, including how specific types of exercise can improve mitochondrial function and cognitive performance. Listeners will gain insights into how computational methods and AI are transforming our understanding of brain function, learning, and memory, as well as the emerging roles of these tools in addressing personal health and treating brain diseases such as Alzheimer’s and Parkinson’s.

Access the full show notes for this episode at hubermanlab.com).

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Timestamps

00:00:00 Dr. Terry Sejnowski  

00:02:32 Sponsors: BetterHelp & Helix Sleep  

00:05:19 Brain Structure & Function, Algorithmic Level  

00:11:49 Basal Ganglia; Learning & Value Function  

00:15:23 Value Function, Reward & Punishment  

00:19:14 Cognitive vs. Procedural Learning, Active Learning, AI  

00:25:56 Learning & Brain Storage  

00:30:08 Traveling Waves, Sleep Spindles, Memory  

00:32:08 Sponsors: AG1 & David  

00:34:57 Tool: Increase Sleep Spindles; Memory, Ambien; Prescription Drugs  

00:42:02 Psilocybin, Brain Connectivity  

00:45:58 Tool: ‘Learning How to Learn’ Course  

00:49:36 Learning, Generational Differences, Technology, Social Media  

00:58:37 Sponsors: LMNT & Joovv  

01:01:06 Draining Experiences, AI & Social Media  

01:06:52 Vigor & Aging, Continued Learning, Tool: Exercise & Mitochondrial Function  

01:12:17 Tool: Cognitive Velocity; Quick Stressors, Mitochondria  

01:16:58 AI, Imagined Futures, Possibilities  

01:27:14 AI & Mapping Potential Options, Schizophrenia  

01:30:56 Schizophrenia, Ketamine, Depression  

01:36:15 AI, “Idea Pump,” Analyzing Research  

01:42:11 AI, Medicine & Diagnostic Tool; Predicting Outcomes  

01:50:04 Parkinson’s Disease; Cognitive Velocity & Variables; Amphetamines  

01:59:49 Free Will; Large Language Model (LLM), Personalities & Learning  

02:12:40 Tool: Idea Generation, Mind Wandering, Learning  

02:18:18 Dreams, Unconscious, Types of Dreams  

02:22:56 Future Projects, Brain & Self-Attention  

02:31:39 Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter  

Disclaimer & Disclosures)