Multisensory Predictive Learning 
(4541.676 Artificial Neural Networks, 132.531 Modeling of Cognitive Processes,
3391.506 Computational Neuroscience, 2011)

 
  • School of Computer Science and Engineering, Seoul National University
  • Instructor: Prof. Byoung-Tak Zhang
  • TA: Byoung-Hee Kim  (Office : 302-314-1, Tel : 02-880-1847)
  • Classroom: 302-209
  • Time: Tue 11:00-12:15 and Thu 11:00-12:15
  • Texts:
    [1] Sensory Cue Integration, (Eds.) Trommershaeuser, J., Koerding, K., and Landy, M. S.,
         Oxford University Press, 2011. [SCI]
    [2] Predictions in the Brain: Using Our Past to Generate a Future, (Ed.) Bar, M.,
         Oxford University Press, 2011. [PIB]
    [3] Dynamic Coordination in the Brain: From Neurons to Mind, (Eds.) Von der Malsburg, C.,
         Phillips, W.A., and Singer, W., MIT Press, 2010. [DCB]
  • Evaluation:

  • Lecture Schedule
  • Week

    Topics

    Slides

    Week 1
    (9/1)

    • Dynamic Coordination in Brain and Mind, DCB Ch. 1
    • Coordination: What it is and why we need it, DCB Ch. 10
    • Homework: one-page summary * 2 chapters (due:9/8)

    Lecture 1

    Week2
    (9/6, 9/8)

    SCI_Ch1

    SCI_Ch2

    Week3
    (9/15)

    • Generative Probabilistic Modeling: Understanding Causal Sensorimotor Integration, SCI Ch. 4

    SCI_Ch4

    Week4
    (9/20, 9/22)

    • Priors and Learning in Cue Integration, SCI Ch. 9
    • Multisensory Integration and Calibration in Adults and Children, SCI Ch. 10

    SCI_Ch9, suppl video, SCI_Ch10

    Week5
    (9/27, 9/29)

    • Multisensory Perception: From Integration to Remapping, SCI Ch. 12
    • Humaní»s Multisensory Perception, from Integration to Segregation, Follows Bayesian Inference, SCI Ch. 13

    SCI Ch12-part1, part2

    SCI_Ch13

    Week6
    (10/4, 10/6)

    • Dynamic Cue Combination in Distributional Population Code Networks, SCI Ch. 20

    SCI Ch 20- part1, part2

    Week7
    (10/11, 10/13)

    • A Neural Implementation of Optimal Cue Integration, SCI Ch. 21

    SCI Ch 21- part1, part2

    Week8
    (10/18, 10/20)

    • Review (10/18)
    • Exam (10/20)

     

    Week9
    (10/15, 10/27)

    • Kalman Filters

    note, suppl

    Week10
    (11/1, 11/3)

    • Particle Filters
    • Deep Belif Networks

    PFnote
    DeepNetwork

    Week11
    (11/8, 11/10)

    • Deep Belif Networks / Project #2
    • Re-Exam (11/10)

    DeepNetwork

    Week12
    (11/15, 11/17)

    • Predictive Coding: A Free-Energy Formulation, PIB, Ch. 17
    • Sequence Memory for Prediction, Inference, and Behavior, PIB Ch. 18

    PIB Ch 17

    PIB Ch 18

    Week13
    (11/22, 11/24)

    • The Proactive Brain, PIB Ch. 2

    • Simulation, Situated Conceptualization, and Prediction, PIB Ch. 3

    PIB Ch 2  PIB Ch 3

    Week14
    (11/29, 12/1)

    • Review (11/29)

    • Exam 2 (12/1)

    Week15
    (12/6, 12/8)

    • Imagining Predictions: Mental Imagery as Mental Emulation, PIB Ch. 8
    • A Look around Subcortical Predictive Dynamics and Learning during Perception, Cognition, Emotion, and Action, PIB Ch. 15

    PIB Ch 8

    PIB Ch 15

    Week16
    (12/13)

    • The Neurobiology of Memory-Based Prediction, PIB Ch. 20

     


    This page is maintained by Byoung-Hee Kim 
    Last update: Dec. 6, 2011.