Канал: Kendrick Kay

GLMsingle figure walkthrough

GLMsingle figure walkthrough

Overview of NSD data files

Overview of NSD data files

L1 OVERVIEW OF THE WORKSHOP AND LOGISTICS

L1 OVERVIEW OF THE WORKSHOP AND LOGISTICS

L2 INTRO TO NSD

L2 INTRO TO NSD

L3 FMRI BASICS

L3 FMRI BASICS

L4 ANALYSIS APPROACHES PART 1

L4 ANALYSIS APPROACHES PART 1

L5 ANALYSIS APPROACHES PART 2

L5 ANALYSIS APPROACHES PART 2

L6 ANALYSIS APPROACHES PART 3

L6 ANALYSIS APPROACHES PART 3

L7 STATISTICAL AND ANALYSIS ISSUES

L7 STATISTICAL AND ANALYSIS ISSUES

L8 BIG DATA ISSUES

L8 BIG DATA ISSUES

L9 CODING ISSUES

L9 CODING ISSUES

TDM videowalkthrough example1

TDM videowalkthrough example1

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

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

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

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

Blake Richards - Deep learning with segregated dendrites

Blake Richards - Deep learning with segregated dendrites

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

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

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

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

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

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

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

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

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

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

Ruben Coen-Cagli - Tutorial on Computational Neuroscience

Ruben Coen-Cagli - Tutorial on Computational Neuroscience

Wei Ji Ma - Modeling of behavior

Wei Ji Ma - Modeling of behavior

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

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

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

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

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

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

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

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

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

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

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

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

Niko Kriegeskorte - Closing Remarks (CCN 2017)

Niko Kriegeskorte - Closing Remarks (CCN 2017)

Opening panel discussion (CCN 2017)

Opening panel discussion (CCN 2017)

Closing Panel Discussion (CCN 2017)

Closing Panel Discussion (CCN 2017)

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

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

Tom Griffiths - Bridging the computational and algorithmic levels (CCN 2017)

Tom Griffiths - Bridging the computational and algorithmic levels (CCN 2017)

Yoshua Bengio - Deep learning and Backprop in the Brain (CCN 2017)

Yoshua Bengio - Deep learning and Backprop in the Brain (CCN 2017)

Josh Tenenbaum - The cognitive science perspective: Reverse-engineering the mind (CCN 2017)

Josh Tenenbaum - The cognitive science perspective: Reverse-engineering the mind (CCN 2017)

Chris Cueva - Emergence of grid-like representations by training recurrent ... (CCN 2017)

Chris Cueva - Emergence of grid-like representations by training recurrent ... (CCN 2017)

Kevin T. Feigelis - Modular Task Learning in an Embodied ... (CCN 2017)

Kevin T. Feigelis - Modular Task Learning in an Embodied ... (CCN 2017)

Laurence Hunt - Distributed mechanisms supporting information search and ... (CCN 2017)

Laurence Hunt - Distributed mechanisms supporting information search and ... (CCN 2017)

Fitz Sturgill - Surprise, surprise: Cholinergic and dopaminergic neurons encode ... (CCN 2017)

Fitz Sturgill - Surprise, surprise: Cholinergic and dopaminergic neurons encode ... (CCN 2017)

Daniel Wolpert - Probabilistic models of sensorimotor control (CCN 2017)

Daniel Wolpert - Probabilistic models of sensorimotor control (CCN 2017)

Ian Ballard - Hippocampal Pattern Separation Supports Reinforcement Learning

Ian Ballard - Hippocampal Pattern Separation Supports Reinforcement Learning

Ida Momennejad - Offline Replay Supports Planning: fMRI evidence from reward Revaluation (CCN 2017)

Ida Momennejad - Offline Replay Supports Planning: fMRI evidence from reward Revaluation (CCN 2017)

Vincent Costa - Amygdala Drives Value and Exploration Signals ... (CCN 2017)

Vincent Costa - Amygdala Drives Value and Exploration Signals ... (CCN 2017)

Mingyu Song - History effect in a minimalistic explore-exploit task (CCN 2017)

Mingyu Song - History effect in a minimalistic explore-exploit task (CCN 2017)

Kendrick Kay, Software tools motivated by fMRI, BrainHack Global Bloomington 2017

Kendrick Kay, Software tools motivated by fMRI, BrainHack Global Bloomington 2017

Kendrick Kay, Modeling fMRI data, Neurohackweek 2016

Kendrick Kay, Modeling fMRI data, Neurohackweek 2016

Kendrick Kay, VSS 2016 talk, "What are deep neural networks and what are they good for?"

Kendrick Kay, VSS 2016 talk, "What are deep neural networks and what are they good for?"

Phase data for GE-EPI (0.8-mm isotropic, 2.2-s TR, multiband 2, iPAT 3) at 7T

Phase data for GE-EPI (0.8-mm isotropic, 2.2-s TR, multiband 2, iPAT 3) at 7T

GE-EPI (0.8-mm isotropic, 2.2-s TR, multiband 2, iPAT 3) at 7T

GE-EPI (0.8-mm isotropic, 2.2-s TR, multiband 2, iPAT 3) at 7T

T1 anatomy and FreeSurfer surfaces

T1 anatomy and FreeSurfer surfaces

High-res EPI vs. T2

High-res EPI vs. T2

Thomas Naselaris - VSS 2014 Symposium

Thomas Naselaris - VSS 2014 Symposium

Marcel Van Gerven - VSS 2014 Symposium

Marcel Van Gerven - VSS 2014 Symposium

Kendrick Kay - VSS 2014 Symposium

Kendrick Kay - VSS 2014 Symposium

Jeremy Freeman - VSS 2014 Symposium

Jeremy Freeman - VSS 2014 Symposium

Jim DiCarlo - VSS 2014 Symposium

Jim DiCarlo - VSS 2014 Symposium

Nikolaus Kriegeskorte - VSS 2014 Symposium

Nikolaus Kriegeskorte - VSS 2014 Symposium

MATLAB Examples 4

MATLAB Examples 4

Statistics Lecture 7 (Classification)

Statistics Lecture 7 (Classification)

MATLAB Examples 3

MATLAB Examples 3

Statistics Lecture 6 (Model reliability)

Statistics Lecture 6 (Model reliability)

Statistics Lecture 5 (Model accuracy)

Statistics Lecture 5 (Model accuracy)

MATLAB Examples 2

MATLAB Examples 2

Statistics Lecture 4 (Model fitting)

Statistics Lecture 4 (Model fitting)

Statistics Lecture 3 (Model specification)

Statistics Lecture 3 (Model specification)

Statistics Lecture 2 (Hypothesis testing and correlation)

Statistics Lecture 2 (Hypothesis testing and correlation)

Statistics Lecture 1 (Probability distributions and error bars)

Statistics Lecture 1 (Probability distributions and error bars)

MATLAB Examples 1

MATLAB Examples 1

MATLAB Basics II

MATLAB Basics II

MATLAB Basics I

MATLAB Basics I