Brain x Machine Intelligence Lab

Brain x Machine Intelligence Lab @ KAIST

Laboratory for brain and machine intelligence, KAIST

Survival guide for brain-AI newbies

Emulating great minds

  • Kinds of Minds (Daniel Dennett): Skinner, Popper, Gregorian intention

  • Thinking, Fast and Slow (Daniel Kahneman): System 1 and System 2 decision making

  • Noise: A Flaw in Human Judgment (Daniel Kahneman, Olivier Sibony, Cass R. Sunstein): Uncertainty in decision making

Exercising analytical minds

  • The Alignment Problem (Brian Christian): Value alignment

  • The Spike (Mark Humphries): Biological neurons

  • The Book of Why (Judea Pearl): Causal reasoning

  • How Not to Be Wrong (Jordan Ellenberg): Projective plane, correlation fallacy

Being tech-savvy

  • ML week1. Code review (CNN)

  • ML week2. Code review (Boltzmann machines, Autoencoder, GAN)

  • ML week3. Code review (LSTM, Self-attention)

  • ML week4. RL (model-based/model-free/SR)

  • Brain week1. Model fitting on clusters / Bayesian model comparison

  • Brain week2. Model-based neural analysis (SPM manual + UCL SPM lecture slide, preprocessing, SPM 1st/2nd level analysis)

  • Brain week3. Model-based neural analysis (Bayesian model selection on neural data, PPI, DCM)

  • Brain week4. Model-based neural analysis (PSC, MVPA)

  • Simulation week1. Conference simulation (Read all of our Cosyne abstracts)

  • Simulation week2. Paper writing simulation (Read a few paper from our lab, cover letter, revision docs)

  • Wrap-up

Research activities

  • Lab meeting: talking about your idea (weekly event)

  • Lab journal club: talking about others’ idea from your perspective (bi-weekly; the below list shows where you begin)
    - Research articles: Science, Nature, Cell, Nature Neurosci., Neuron, Nature Human Beh., Nature Comm., Science Advances, PLoS Biol., Cell reports, eLife, PLoS Comp. Biol.
    - Review articles: Nature Rev. Neurosci., Trends in Cog. Sci.
    - ML conference proceeding papers are also welcome.

  • Lab vision workshop: talking about where we are heading (annual event)

Summer course (for PhD students)

Conferences