![[S4SN2021] short talk: Using reinforcement learning models in social neuroscience](/vi/vsVx1qwtT0Q/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLC-5DkUOh8IpZtiqfu-Wtqir4jCPg)
Lei Zhang
[S4SN2021] short talk: Using reinforcement learning models in social neuroscience
5:59
![[BayesCog] SoSe 2021 Lecture 13 - Model comparison](/vi/BIUYcfaPOUo/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDYv8GOyiyhEFZHzJUb1dIWPnGFBw)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 13 - Model comparison
1:07:25
Lei Zhang
ESCAN2021 Symposium talk: Neurocomputational mechanism of social influence in goal-directed learning
11:28
![[BayesCog] SoSe 2021 Lecture 12 - Hierarchical modeling](/vi/t-vtU3vrwZI/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLA2BhOt7Vj64iyh_Az8nF3vQzQ2Ew)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 12 - Hierarchical modeling
1:05:59
![[BayesCog] SoSe 2021 Lecture 11 - Implementing Rescorla-Wagner in Stan](/vi/FF0ar5sUzJI/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4TgAKgC4oCDAgAEAEYEyBMKH8wDw==&rs=AOn4CLAtKrHZCwsuW0IS_7y77Ijh1XtRJA)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 11 - Implementing Rescorla-Wagner in Stan
1:15:31
![[BayesCog] SoSe 2021 Lecture 10 - understanding parameters in the Rescorla-Wagner model](/vi/6rmewPCMDc8/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4AdQGgALgA4oCDAgAEAEYPSBTKGUwDw==&rs=AOn4CLB7w0ZrJr6Myhc47crtdAPYqHr7cg)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 10 - understanding parameters in the Rescorla-Wagner model
1:23:24
![[BayesCog] SoSe 2021 Lecture 09 - Cognitive modeling + Intro 2 Rescorla-Wagner model](/vi/DmiGQEwvjrI/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCSzwymz8IuHyKyClZftcgdFdPyOA)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 09 - Cognitive modeling + Intro 2 Rescorla-Wagner model
1:32:44
Lei Zhang
Cracking BAYESIAN Computational Modeling with STAN (KU Leuven, BE, online)
1:53:58
![[BayesCog] SoSe 2021 Lecture 07 - Binomial model in Stan](/vi/zd45fSZiiq0/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4FgALgA4oCDAgAEAEYEyBMKH8wDw==&rs=AOn4CLCzrrNO0KSTNW_rTGPEFZIQv-JCJA)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 07 - Binomial model in Stan
1:13:26
![[BayesCog] SoSe 2021 Lecture 06 - Linking model and data](/vi/xEmDDwCF9-Y/hqdefault.jpg?sqp=-oaymwE9CNACELwBSFryq4qpAy8IARUAAAAAGAElAADIQj0AgKJDeAHwAQH4Af4TgAKgC4oCDAgAEAEYEyBNKH8wDw==&rs=AOn4CLDLPfOKWJo4IIefvZj8FRHc38JMog)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 06 - Linking model and data
1:31:45
![[Decision Neuroscience], SoSe 2021, Lecture 03 - Research methods](/vi/zF4evCjZfak/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLApA3_zw3NUnVaVDgDeuTBYF-xsUQ)
Lei Zhang
[Decision Neuroscience], SoSe 2021, Lecture 03 - Research methods
1:17:02
![[Decision Neuroscience], SoSe 2021, Lecture 04 - research methods (cont.)](/vi/qg_ZkUTTkk8/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCWZ4NGpxyx1c_Tsv5ryGb5pr97JQ)
Lei Zhang
[Decision Neuroscience], SoSe 2021, Lecture 04 - research methods (cont.)
1:17:12
![[BayesCog] SoSe 2021 Lecture 04 - Linking model and data](/vi/424gYDybTB8/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCPQOPSEwXlZTh5aOSgJ8UTj3aPEg)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 04 - Linking model and data
1:24:44
![[BayesCog] SoSe 2021 Lecture 03 - Probability](/vi/yyGYQ1cCZ-I/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBcHNAaUGKQ-fg46_4YfGrUi82Qdw)
Lei Zhang
[BayesCog] SoSe 2021 Lecture 03 - Probability
1:31:41
Lei Zhang
What we talk about when we talk about computational psychiatry | 当我们谈论计算精神病学时我们在谈论什么 | in Chinese
1:25:57
Lei Zhang
CAPBS欧洲心理学与脑科学年会 - 欧洲主流科研基金申请分享
48:17
![[TEWA 1] 2020 WS Lecture 13 - Reproducible workflow + Computational Psychiatry](/vi/LrGXPVwEid8/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCMaFVa8cbeCq5WthQ_2r-oevKBPQ)
Lei Zhang
[TEWA 1] 2020 WS Lecture 13 - Reproducible workflow + Computational Psychiatry
1:28:32
![[TEWA 1] 2020 WS Lecture 10 - Hierarchical modeling (i.e., multi-level modeling, mixed modeling)](/vi/n0FFUs3rlzY/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDwn_FKVlF-RZczgrpaCN8vaJQSdQ)
Lei Zhang
[TEWA 1] 2020 WS Lecture 10 - Hierarchical modeling (i.e., multi-level modeling, mixed modeling)
1:30:52
![[TEWA 1] 2020 WS Lecture 04 - Linking data and parameter/model](/vi/I17uLoYbn1w/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAMBAu5NFxv6Fom5CJ9iL7NF6WWQQ)
Lei Zhang
[TEWA 1] 2020 WS Lecture 04 - Linking data and parameter/model
1:41:03
![[TEWA 1] 2020 WS Lecture 02 - Programming languages](/vi/YERXH-X9BBg/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAcmuR4wn_Zkt3qH8a6zF2BV32_-w)
Lei Zhang
[TEWA 1] 2020 WS Lecture 02 - Programming languages
1:35:56
Lei Zhang
Teaser video: A brain network supporting social influences in human decision-making
1:25
Lei Zhang
Talk: Multiple facets of social influence in goal-directed learning (ENG starts from 03:35)
1:06:46
Lei Zhang
Flash-talk, ESCAN: Using reinforcement learning models in social neuroscience (03/07/2020)
2:02
Lei Zhang
BayesCog Summer 2020 Lecture 13 - Debugging in Stan
1:32:27
Lei Zhang
BayesCog Summer 2020 Lecture 12 - Model comparison
1:33:07
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 11 - Game theory-inspired decision-making paradigms
21:40
Lei Zhang
BayesCog Summer 2020 Lecture 11 - Hierarchical Bayesian modeling + Optimizing Stan code
1:32:16
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 10 - Introduction to Reinforcement learning
30:29
Lei Zhang
BayesCog Summer 2020 Lecture 10 - Implementing Rescorla-Wagner in Stan
1:30:00
Lei Zhang
Decision Neuroscience Winter 2020 - Instruction for the group project
16:40
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 09 - Open Science (Guest Lecture)
1:19:55
Lei Zhang
BayesCog Summer 2020 Lecture 09 - Intro to cognitive modeling & Rescorla-Wagner model
1:46:08
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 08 - Consumer neuroscience
24:09
Lei Zhang
BayesCog Summer 2020 Lecture 08 - Intro to Stan (P2) and regression models
1:34:04
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 07 - Social Decision-making
25:00
Lei Zhang
BayesCog Summer 2020 Lecture 07 - Intro to Stan (P1) and implementing Binomial model in Stan
1:32:11
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 06 - Emotion & Motivation in Decision-making
18:01
Lei Zhang
Cracking computational modelling with Stan II: A principled Bayesian workflow (in Chinese)
2:05:50
Lei Zhang
BayesCog Summer 2020 Lecture 06 - Grid approximation of Binomial model & intro to MCMC
1:33:46
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 05 - Risky preference & Intertemporal choices
16:16
Lei Zhang
BayesCog Summer 2020 Lecture 05 - Linking data and parameter
1:09:09
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 04 - Value-based decision-making
49:18
Lei Zhang
BayesCog Summer 2020 Lecture 04 - Probability and Bayes' theorem
1:47:58
Lei Zhang
Cracking computational modelling with Stan: Using Rescorla-Wagner model as an example (in Chinese)
1:27:33
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 03 - Research methods in decision neuroscience
1:25:19
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 02 - Experimental design & statistical inference
1:35:35
Lei Zhang
BayesCog Summer 2020 Lecture 03 - Intro to R/RStudio (Part 2)
1:24:02
Lei Zhang
BayesCog Summer 2020 Lecture 02 - Intro to R/RStudio (Part 1)
1:45:30
Lei Zhang
Decision Neuroscience Winter 2020 Lecture 01 - Introduction
1:37:25
Lei Zhang
BayesCog Summer 2020 Lecture 01 - Introduction
1:34:08
Lei Zhang
Imagine: Busker in San Sebastian, Sep.8, 2012
1:29