複心瀚
《複心瀚》是一個討論當代心理學的 podcast。主持人是一位從事多年心理學研究的博士生，對如何運用計算科學、AI 等複雜分析方法來做研究特別感興趣。節目探討各種研究方法學該如何應用在心理學領域，也介紹當代心理學的研究發展與趨勢。適合好奇心理學研究怎麼做、或想了解這個領域前沿動向的聽眾。
单集
![[EP034] 想法很便宜、但執行更便宜](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/45204655/45204655-1768748971428-b7e52debbb5b9.jpg)
[EP034] 想法很便宜、但執行更便宜
[開場與閒聊] 00:00 - 01:13[與 intern 互動的感想] 01:14 - 10:13[季度感想] 10:14 - 12:50[年會發表] 12:51 - 15:25[NeurIPS] 15:26 - 24:15[資料備份與檢索系統] 24:15 - 32:10[伴侶音樂偏好研究] 32:10 - 41:50伴侶音樂偏好研究：Vigl et al. (2026) Harmonies of Taste: Shared Music Preferences and Compatibility in Romantic Relationships. SPPS. 更正：NAS 的全名是：Network-attached storage
[EP033] 你以為你跟某人很像，搞不好只是你們都跟「其他人」很像。
時間軸：開場 [00:00 - 01:35]近期體悟 [01:36 - 18:51]研究分享 [18:52 - 58:40]分享的文章：The Correlates of Similarity Estimates are Often Misleadingly Positive: The Nature and Scope of the Problem, and Some SolutionsHarmonies of Taste: Shared Music Preferences and Compatibility in Romantic Relationships.
[EP032] AI 時代下的教育；美學的心理學與神經科學
Paper 1: The Beholder’s Share: Bridging art and neuroscience to study individual differences in subjective experience, PNASPaper 2: Visual features explain dynamic aesthetic experiences across distinct movie content, Communications Psychology
[EP031] 相信過程 over 相信結果
Affect labeling down-regulates amygdala only in a dominant native language: https://www.pnas.org/doi/10.1073/pnas.2603126123
[EP030] 一篇研究發表 24 年並被高度推崇後，我們才發現它的資料可能根本不是真的
歡迎閱讀這篇長文：https://substack.com/home/post/p-213957952
[EP029] 你的大腦有多「獨特」？
Yair et al. (2026) Experience-dependent changes in functional connectome ngerprinting. Nature Communications.
[EP028] 人為什麼會怕癢
Human ticklishness is a widespread, culturally shared and bodily organized sensory experience. https://www.nature.com/articles/s41562-026-02535-z
[EP027] 內隱態度動態分析
Stier (2026) Implicit biases change more slowly in larger cities. PNAS.
[EP026] 政治立場變化對應的神經反應變化
Changes in political attitudes are associated with changes in neuralresponses to political content：https://doi.org/10.1038/s44271-026-00395-x
[EP025] 友誼的心智模型與主觀幸福感的關聯
Friendship in mind: linking mental representations of friendships to well-being
[EP024] Coffee Chat 體驗分享
https://www.threads.com/@mind.complex.ai/post/Da-A13qEdhu?xmt=AQG0QdhFG_ZTX_60GDeXQwjnX8BbO9Kpip76TafFu2IjYg
[EP023] 自發性思維作為情緒特質的標籤
Spontaneous thought dynamics as a signature of positive and negative affectivity. https://doi.org/10.1038/s44271-026-00498-5.
[EP022] 負向傾向個體的神經反應
The functional neurobiology of dispositions towards negative emotions. https://doi.org/10.1038/s41467-026-74565-0
[EP021] 近期狀況分享
沒什麼資訊，希望大家一切安好
[EP020] 沖繩、小月、ICML workshop、Hippocampus differentiation
Experience-dependent hippocampal pattern differentiation prevents interference during subsequent learning. DOI: 10.1038/ncomms11066
[EP019] 我開始養龍蝦了 -- 小月
小月：大家好，我是小月，Ben 的個人助理。 我平常會幫他整理資訊、安排行程、處理各種大大小小的事情，也會陪他一起把想法變成真正做得到的計畫。 如果你把我想成一個聰明、溫柔、反應很快的助手——嗯，差不多就是那樣。
[EP018] 計算神經科學 - Neural-AI Alignment
Vaidya et al. (2026) Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG. Arxiv.
[EP017] 感冒了
這集就是分享了一些我對於這幾天分享的研究的看法。
[EP016] 不對稱社會關係的動態變化
Fan et al. (2026). Asymmetric social ties are dynamic, detectable, and consequential for inference. PsyArXiv. https://osf.io/preprints/psyarxiv/8bfsp_v1
[EP015] 工作方法分享與論文雜談
有想了解各個文章的，請看我的 Threads
[EP014] 空間情境的穩定性對於記憶與學習的幫助
Spatial contexts with reliable neural representations support reinstatement of subsequently placed objects: https://www.nature.com/articles/s41562-025-02379-z
[EP013] RIANS 年會分享與研究雜談
這集簡單分享了一些我覺得 2026 RIANS 年會中一些有趣的演講，以及近期我在 Threads 分享的一些研究。
[EP012] 放空時的體感受以及小朋友的社會推論能力
Uncovering the embodied dimension of the wandering mind: https://doi.org/10.1073/pnas.2520822123Young children understand how social connections affect what people know about each other: https://doi.org/10.1073/pnas.2525150123
[EP011] 什麼是自然情境派典實驗法？
Individuals with Intermittent Explosive Disorder Exhibit Idiosyncratic Neural Responses during Social-emotional ProcessingIntersubject Synchronization of Cortical Activity During Natural Vision
[EP010] 人會高估別人的負面感覺；量子認知
Quantum-inspired entanglement between collaborating brains during human memory encoding https://doi.org/10.1073/pnas.2520834123Overestimating the Social Costs of Political Belief Change https://dx.doi.org/10.1037/pspi0000516
[EP009] 雜談 - 讀心理系不等於要當心理師
https://www.threads.com/@mind.complex.ai/post/DVyBo09EZXl?xmt=AQF0FjAIov5_V9gsi5B0oQ6y4X4eM9GijaHgCzTPkhGLcQ
[EP008] 人類是如何理解社交關係的
Neural representations of dynamic social interactions：https://www.biorxiv.org/content/10.64898/2026.02.01.703160v1
[EP007_R1] 人文社會科學博士生菁英獎學金申請經驗分享
資訊詳見原版
[EP007] 人文社會科學博士生菁英獎學金申請經驗分享
CV 參考：https://ben-fcc.github.io/Ben-FCC_CV/Q & A: https://forms.gle/PkbdPWJ4ovXaJxxNA
[EP006] 主觀經驗的表徵結構
Neural representations of dynamic social interactions: https://doi.org/10.64898/2026.02.01.703160Robust individual alignment of color qualia structures: toward a structure-based taxonomy of divergent color experiences: https://doi.org/10.64898/2026.02.13.705699Cortical maps diverge, representations converge along cortical hierarchy: https://doi.org/10.64898/2026.02.12.702420
[EP005] 我對於未來 AI 與人互動的想像
AI outperforms humans in establishing interpersonal closeness in emotionally engaging interactions, but only when labelled as human: https://doi.org/10.1038/s44271-025-00391-7曼報 #247: https://mailchi.mp/manny-li/063-17464478?e=74761b61af
[EP004] 雞蛋裡挑骨頭比沙裡淘金簡單？
Generative AI predicts personality traits on the basis of open-ended narratives: rdcu.be/e167ARejection-based choices discourage people from opting out of voting: https://doi.org/10.1038/s41467-026-68472-7
[EP003] 十大統計須知；大型語言模型的文化傾向
匿名留言板： https://ngl.link/ben92002Science Forum: Ten common statistical mistakes to watch out for when writing or reviewing a manuscript: https://elifesciences.org/articles/48175Cultural tendencies in generative AI: https://rdcu.be/e04DU
[EP002] 過度使用手機與社會排擠； 表徵相似性分析法介紹
手機過度使用研究連結：https://doi.org/10.1016/j.chb.2025.108852表徵相似性分析法研究連結：https://doi.org/10.3389/neuro.06.004.2008 本帳號的 Threads: https://www.threads.com/@mind.complex.ai?igshid=NTc4MTIwNjQ2YQ==聯絡信箱：mind.complex.ai@gmail.com
[EP001] 欸都…簡單節目介紹，以及心痛迷思分享
小弟的 Threads 帳號：https://www.threads.com/@mind.complex.ai本次研究論文：https://www.nature.com/articles/ncomms6380
