8 /17 Meta-Learning
Q. Can machines adapt to new tasks like us?
Q. Are people Bayesian?
9 /14 Value Coding and Prediction
Q. How do the brain & AI represent the current and future value?
Q. Why it matters?: Systematic thinking to understand 'How the mind works'
10/12 Deep Learning w/o weight transport
Q. How can we model a biologically plausible algorithm for AI?
10/19 Special Session
11/ 9 Backpropagation and Brain
Q. What is probable learning algorithm for brain and AI?
11/23 Noise in Brain and Machine
Q. Do noises have potential benefits both to brain and machine?
12/ 7 Next Analog to Digital BCI
Q. How to build the brain into computer?
12/21 Review Session
#1 Meta Learning
8/17/2020 | Moderator: Soyeon Kim
Can Machines adopt new tasks like us?
#4 Theoretical Framework
9/28/2020 | Moderator: JungJoon Park
Systematic thinking to understand 'how the mind works'
#2 Bayesian Brain
8/31/2020 | Moderator : Hyewon Jeong
Are People Bayesian?
#5 Deeplearning w/o WT
10/12/2020 | Moderator: Hyeong-Gwon Hong
How can we model a biologically plausible algorithm for AI?
#3 Value in Brain & AI
9/14/2020 | Moderator : Jineun Kim
How do Brain & AI represent current value and predict the future?
#6 Backpropagation & Brain
11/9/2020 | Moderator: Jea Kwon
What is probable learning algorithm for Brain and AI?