[图片来源：Getty Images] 以下七种方法可以助你加速学习并巩固记忆。 1. 自我测试。 《公共利益心理科学》刊载的一项经典研究表明，自我测试是加速学习进程的极佳方式。 部分原因在于它能创造额外记忆情境。当你自测答错后，不仅更容易记住查证后的正确答案，还会牢记自己曾遗忘的事实。 因此，别只是练习推销话术，而要测试自己能否流畅展开开场白后的内容。测试能否列出四大核心论点。测试是否能准确回忆成本节约数据、价格清单，或 应对常见客户质疑的策略。 神译局是36氪旗下编译团队，关注科技、商业、职场、生活等领域，重点介绍国外的新技术、新观点、新风向。 编者按：想更快掌握知识并牢记所学内容？神经科学表明，增强记忆力其实相对简单。本文来自编译，希望对您有所启发。 你不仅会因掌握的知识而信心倍增，更能快速发现尚未掌握的知识点。 2. 在同一时间段学习两到三个知识点。 这种方法称为交错学习：并行学习相关概念或技能。学习时不必专注于单一主题、任务或技能，而可以有意识地连续学习或练习多个科目或技能。 研究表明，交错学习能更高效地训练大脑和运动技能。但这是为什么呢？ 《教育心理学评论》刊载的一项研究提出一种理论：交错学习能增 ...

Group 1 - The relationship between philosophy and science has evolved, with modern science emerging from philosophical inquiry as technology advances and observational capabilities expand [1][2] - The exploration of the mind in the 21st century is drawing on both scientific advancements and philosophical questions, particularly in neuroscience [2] Group 2 - The concept of free will is challenged by determinism, as illustrated by Laplace's idea of a universe governed by natural laws, suggesting that human actions may be predetermined by physical processes [3][4] - Neuroscientific findings support the argument against free will, indicating that behaviors are outputs of prior conditions influenced by genetics and environment [3][4] Group 3 - The legal and ethical frameworks operate on a sliding scale of agency, distinguishing between premeditated actions and those influenced by mental states [4][5] - Compatibilism suggests that determinism and free will can coexist, with freedom arising from acting according to one's motivations, although the origins of those motivations remain a point of contention [5] Group 4 - The brain's functioning is complex and non-linear, with decision-making processes influenced by a multitude of factors, including emotional and environmental cues [6][7] - The brain operates within a probabilistic framework, where past experiences shape but do not control present actions, allowing for a form of agency [6][8] Group 5 - Existentialism emerged from the collapse of theological certainty, leading to a focus on individual choice and the search for meaning in a seemingly indifferent universe [9][10] - The evolution of existential thought has led to the concept of neuroexistentialism, which examines how subjective meaning arises from a purely material brain [11][12] Group 6 - Research indicates that engaging in time simulation can enhance the sense of meaning in life, suggesting that meaning is a dialogical process that emerges from self-awareness and experience [12][13] - The construction of meaning is inherently tied to the brain's ability to process sensory data and create coherence from experiences [12][13] Group 7 - The self is a dynamic construct, influenced by various philosophical perspectives that emphasize its relationship with the world and the body [14][15] - The default mode network in the brain plays a crucial role in self-referential thought and autobiographical memory, with disruptions in this network affecting the perception of self [16][17] Group 8 - The brain's primary function is to ensure survival, with perception and action being adaptations for maintaining bodily integrity [20][21] - The understanding of self and consciousness is rooted in the brain's role as a predictive system that integrates sensory inputs to form a coherent narrative of existence [20][21]

本次会议为期三天，设置十余个分会场，涵盖神经外科、神经内科、脊髓脊柱外科、重症与创伤、麻醉 与疼痛、神经护理等多个亚专业领域，聚焦"神经肿瘤多学科协作诊疗""脑血管病介入治疗新进展""癫 痫外科治疗策略优化""脑机接口临床转化"等前沿议题。 会上，和泽启元（北京）科技有限公司还与首都医科大学三博脑科医院举行了战略合作签约仪式。三博 脑科董事长张阳表示，未来，三博脑科将会成立脑机接口与脑科学相关的投资平台、科研平台和临床验 证平台。 校对 赵琳 新京报讯（记者张兆慧）12月19日至21日，王忠诚院士百年诞辰学术会议暨第十八届三博神经科学学术 会议在北京召开。本次大会由王忠诚医学基金会、北京市神经外科研究所、首都医科大学附属北京天坛 医院、首都医科大学三博脑科医院联合主办，以"传承，创新，使命，共赢"为主题，汇聚国内神经科学 领域专家学者，通过学术研讨、成果交流等形式，缅怀医学前辈，共谋学科发展。 作为我国神经外科事业的开拓者和奠基人，王忠诚院士的一生是忠于医学、追求卓越的一生。他从抗美 援朝战场投身生命事业，开创中国脑血管造影技术，攻克脑干肿瘤等手术禁区，创办北京天坛医院与北 京市神经外科研究所，将毕生心血倾注 ...

Core Insights - The article highlights the integration of AI tools, particularly large models, into the core work of eight leading neuroscientists, showcasing their applications in various research scenarios such as cell mapping, literature analysis, data processing, experimental guidance, code generation, and meeting documentation [5][6]. Group 1: AI Applications in Neuroscience - AI has become an indispensable "collaborative partner" in scientific research, focusing on six main applications: generating unbiased brain cell maps (e.g., CellTransformer model), assisting non-native English researchers in improving text and coding efficiency, predicting neuroscience research outcomes and reproducibility (e.g., BrainGPT project), developing visualization tools for neural data exploration, guiding experiments related to disease mechanisms, and quickly extracting structured information from literature (e.g., MetaBeeAI) [5][6]. - AI primarily handles large-scale data processing, repetitive tasks, and preliminary analysis, while human researchers are responsible for result validation, error correction, in-depth interpretation, and key decision-making, ensuring accuracy and transparency in research through an "expert-in-the-loop" design [5][6]. Group 2: Breakthroughs and Limitations - AI can transcend human cognitive limitations by discovering uncataloged brain regions, connecting overlooked research findings, and rapidly processing vast amounts of literature and data, thus providing a scalable platform for cross-species and cross-disease research, accelerating scientific discovery [5][6]. - However, AI still faces challenges such as hallucinations (fabricated literature/data), statistical traps, and understanding biases. Researchers mitigate these risks by limiting the tools' operational boundaries, manually reviewing outputs, constructing domain benchmark datasets, and continuously fine-tuning prompts [5][6]. Group 3: Bidirectional Empowerment - A new trend of bidirectional empowerment is emerging, where AI not only aids neuroscience research but also leverages neuroscience findings to analyze AI models (e.g., exploring large model language processing mechanisms). This reciprocal exchange fosters a synergistic effect, promoting progress in both fields [6].

Investment Rating - The report maintains an investment rating of "Outperform" for the brain-computer interface (BCI) industry [1] Core Insights - Continuous policy support is evident, with the Ministry of Industry and Information Technology and six other departments releasing implementation opinions to promote BCI innovation [2] - Significant technological and clinical breakthroughs have been achieved, including China's first invasive clinical trial for BCI technology [2] - The global BCI market is projected to exceed $10 billion, with a compound annual growth rate (CAGR) of over 13% from 2019 to 2023 [2] Summary by Sections What is Brain-Computer Interface? - BCI is defined as a communication system that establishes a direct connection between the brain and external devices, enabling interaction through brain wave recognition [7][10] - The technology is expected to revolutionize medical rehabilitation, assistive communication, and intelligent control [7] Why is BCI at a Critical Turning Point for Industrialization? - Policy support has intensified, with a clear roadmap for BCI standardization and development outlined by various government bodies [35][41] - The industry is expected to see significant advancements in technology and clinical applications, with a focus on creating a robust ecosystem by 2030 [35][46] Investment Recommendations - Companies to watch include Sanbo Brain Science, Zhongke Information, Entropy Technology, and Yanshan Technology, which are involved in clinical applications or product development [2]

Group 1 - The competition in sportswear has evolved from fabric and design to human science and materials engineering, with the China International Import Expo (CIIE) serving as a platform for brands to showcase their R&D capabilities [2] - Nike launched its neuroscience-based footwear product, Nike Mind, which utilizes 22 independent foam balls in the sole to activate foot sensory receptors, enhancing athletes' focus and presence [2] - Research conducted by Nike's neuroscience team showed that wearing Nike Mind before competitions significantly increased alpha brain wave activity related to focus and relaxation, with the product expected to launch in January 2026 [2] Group 2 - The winter coat market faces challenges with down jackets being warm but ineffective in humid conditions, while traditional cotton jackets are lightweight but lose insulation quickly [3] - Uniqlo introduced a new air cotton jacket that uses hollow fibers to create stable air pockets, providing warmth comparable to down jackets while maintaining performance in 80% humidity and being machine washable [3] - Adidas showcased the 2026 World Cup jerseys for Germany, Argentina, Spain, and Italy, featuring CLIMACOOL technology for optimized breathability and comfort in varying climates [3] Group 3 - The luxury brand Kering set up an immersive experience at its booth with Apple Vision Pro headsets, allowing viewers to experience fashion shows they could not attend, featuring the first ready-to-wear collection designed by Pierpaolo Piccioli since his appointment [3]

Core Viewpoint - The eighth China International Import Expo (CIIE) showcased significant advancements in neuroscience, particularly highlighting the global Phase III clinical study of the innovative therapy bexicaserin for developmental epileptic encephalopathy (DEE) by the pharmaceutical company Lingbei, emphasizing the importance of the expo as a platform for global collaboration in healthcare [1][2][4]. Group 1: Company Developments - Lingbei has established itself as a key player in the treatment of rare neurological diseases in China, having launched six products since its establishment in 2007 and serving 74 million patients [2][8]. - The company is initiating three international multicenter Phase III clinical studies for bexicaserin in collaboration with several leading Chinese medical institutions, aiming to address the urgent need for effective treatments for DEE [3][4]. - Bexicaserin has received breakthrough therapy designation from both the FDA and China's National Medical Products Administration, highlighting its potential to significantly improve treatment options for DEE patients [4][6]. Group 2: Product Innovations - The new drug bexicaserin is a novel oral 5-HT2C receptor agonist designed to reduce drug-resistant seizures in DEE patients, showing promising efficacy and safety in preliminary clinical trials [3][4]. - Lingbei's migraine treatment, eptinezumab, has demonstrated significant efficacy in reducing the frequency of migraine attacks in Asian populations, addressing the unmet need for preventive treatment among the 130 million migraine sufferers in China [5][6]. Group 3: Strategic Initiatives - Lingbei invests 20% of its annual revenue (approximately 4 billion Danish kroner) into research and development, focusing 90% of its pipeline on rare neurological diseases and specialized neurological fields [7]. - The company has been actively involved in enhancing public awareness of neurological diseases and patient education, collaborating with various stakeholders to build a comprehensive brain health ecosystem in China [8][9]. - Lingbei aims to contribute to the "Healthy China 2030" initiative by developing transformative treatment solutions for neurological diseases through sustained R&D investment and local partnerships [9].

Core Viewpoint - The eighth China International Import Expo (CIIE) will be held from November 5 to 10, 2025, in Shanghai, where the global pharmaceutical company Lundbeck will showcase its innovative therapies for developmental epileptic encephalopathy (DEE) and share advancements in migraine preventive treatment, emphasizing its commitment to making innovative therapies accessible to more patients in China [1][3]. Group 1: Company Initiatives - Lundbeck's General Manager for China, Zhang Yifan, highlighted the CIIE as a significant platform for deepening local cooperation and promoting advancements in neuroscience, aiming to raise awareness of the urgent needs of rare disease patients and the importance of migraine preventive treatment [3][4]. - The company has invested 20% of its annual revenue (approximately 4 billion Danish Kroner) into research and development, with 90% of its R&D pipeline focused on rare neurological diseases and specialized neurological treatments [4][5]. - Lundbeck has served over 74 million patients with brain diseases in China over the past 15 years, significantly accelerating clinical research across 19 provinces in the last five years [5][6]. Group 2: Clinical Research and Innovations - Lundbeck's investigational drug, bexicaserin, for treating DEE has initiated global Phase III clinical trials in China, addressing a critical unmet clinical need in this rare group of neurodevelopmental diseases [6][7]. - Bexicaserin has shown broad and lasting anti-seizure effects and has received breakthrough therapy designation from both the FDA and China's CDE, marking it as a potential "best-in-class" treatment for DEE [7][8]. - The company aims to improve migraine treatment in China, where approximately 130 million people are affected, and has made significant progress with its targeted CGRP monoclonal antibody, eptinezumab, which has shown efficacy in recent Phase III trials [7][8].

Core Insights - The article discusses the views of Matthew Cobb, a professor of zoology and neuroscience, on the differences between AI and the human brain, emphasizing that AI lacks true creativity and understanding [4][13]. Group 1: AI vs Human Brain - Cobb highlights that AI and the human brain are fundamentally different systems, with the former being a product of human engineering and the latter being a result of billions of years of evolution [5][7]. - The initial design of computers was inspired by the brain's neural connections, but it was soon realized that the brain does not operate like a digital system [6][7]. Group 2: AI's Role in Neuroscience - AI is expected to change how neuroscientists process vast amounts of data, helping to identify patterns that are not visible to the human eye [8][9]. - Despite its utility in data analysis, Cobb asserts that AI cannot serve as a model for understanding the complexities of the brain [9][10]. Group 3: Creativity and AI - Cobb argues that no AI system has produced anything genuinely creative, as they only generate outputs based on existing data and patterns [13][14]. - He emphasizes that while AI can enhance efficiency in certain tasks, it does not possess true understanding or the ability to create novel concepts [14][15]. Group 4: Human Connection in Caregiving - Cobb expresses a preference for human caregivers over machines, highlighting the importance of emotional connections in caregiving roles [16][17]. - He points out that many essential jobs, particularly in caregiving, cannot be replaced by machines, and stresses the need for better support and recognition for human caregivers [17][18].

Core Insights - The conversation with Matthew Cobb highlights the ongoing mystery surrounding the human brain and the limitations of current scientific understanding [3][6][8] - Cobb emphasizes the evolution of metaphors used to understand the brain, reflecting changes in technology and societal views [4][5] - The discussion also critiques the notion of artificial intelligence (AI) mimicking human consciousness, asserting that AI is a powerful tool but not a reflection of human thought [9][10] Group 1: Understanding the Brain - Cobb argues that humanity fundamentally does not understand how the brain operates, which is a central theme of his book "The Idea of the Brain" [6][7] - He recounts the historical metaphors used to describe the brain, from hydraulic systems to computers, illustrating the evolving nature of scientific understanding [4][5] - The complexity of the brain is highlighted, with Cobb noting that even simple organisms like fruit flies have neural mechanisms that remain poorly understood [8] Group 2: Artificial Intelligence Perspectives - Cobb identifies himself as part of the "AI skeptics," believing that while AI can perform specific tasks effectively, it does not possess consciousness [9][10] - He critiques the belief that increasing the scale of AI models will lead to human-like intelligence, arguing that this notion is fundamentally flawed [9] - The potential dangers of over-reliance on AI are discussed, particularly in contexts where AI-generated content is accepted without verification, leading to significant risks [10][12]