GLMsingle figure walkthrough

Overview of NSD data files

L1 OVERVIEW OF THE WORKSHOP AND LOGISTICS

L2 INTRO TO NSD

L3 FMRI BASICS

L4 ANALYSIS APPROACHES PART 1

L5 ANALYSIS APPROACHES PART 2

L6 ANALYSIS APPROACHES PART 3

L7 STATISTICAL AND ANALYSIS ISSUES

L8 BIG DATA ISSUES

L9 CODING ISSUES

TDM videowalkthrough example1

Kendrick Kay, Bottom-up and top-down computations..., OSA Fall Vision Meeting 2017

Michael N. Shadlen - I have not decided yet (CCN 2017)

Blake Richards - Deep learning with segregated dendrites

Emin Orhan - When do neural networks learn ... (CCN 2017)

Rebecca Saxe - How we understand others’ emotions (CCN 2017)

Rufin VanRullen - Predictive coding & neural communication delays produce alpha-band ... (CCN 2017)

Alona Fyshe - Artificial Intelligence with connections to neuroimaging (CCN 2017)

Yalda Mohsenzadeh - Unconscious perception of scenes reveals a perceptual ... (CCN 2017)

Hsin-Hung Li - Computation of human confidence reports in decision-making with ... (CCN 2017)

Matthew Ricci & Junkyung Kim - A Dichotomy of Visual Relations or ... (CCN 2017)

Wei Ji Ma - Modeling of behavior

Ruben Coen-Cagli - Tutorial on Computational Neuroscience

Grace Lindsay - Understanding Biological Visual Attention Using Convolutional ... (CCN 2017)

Richard Murray - A reverse correlation test of computational models ... (CCN 2017)

Niko Kriegeskorte - Closing Remarks (CCN 2017)

Thomas Naselaris - Welcome: Why Are We Meeting? (CCN 2017)

Eleanor Batty - Neural Networks for Efficient Bayesian Decoding ... (CCN 2017)

Yann LeCun - How does the brain learn so much so quickly? (CCN 2017)