Media Summary: 2020.06.17 Presenter: Ronald van den Berg Part 1 reviewed frequentist hypothesis testing (based on p values) and contrasted ... 2020.06.24 Presenter: Gianni Galbiati Part 2 covered Presented at Cognitive Computational Neuroscience (CCN) 2017 ( held September 6-8, 2017.

Wei Ji Ma Tutorial Bayesian - Detailed Analysis & Overview

2020.06.17 Presenter: Ronald van den Berg Part 1 reviewed frequentist hypothesis testing (based on p values) and contrasted ... 2020.06.24 Presenter: Gianni Galbiati Part 2 covered Presented at Cognitive Computational Neuroscience (CCN) 2017 ( held September 6-8, 2017. Fanuel Muindi conducts an in-person interview in New York City with Dr. 2020.07.06 Edgar Walker gave an online research talk about his paper A neural code for probabilistic computation in visual cortex ... NOTE I was having some sound issues in the beginning. I hope to get better at navitaging that moving forward. Follow along with ...

I don't know if you noticed, but I have a fondness for any topic related to decision-making under uncertainty — when it's studied ...

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Wei Ji Ma - Tutorial: Bayesian modeling of behavior (Cosyne 2019)
Tutorial in Bayesian Statistics Part 1: Basics and Bayes factors
Tutorial in Bayesian Statistics Part 2: Parameter estimation and practice
Wei Ji Ma - Modeling of behavior
Ma Lab research talk: Confidence reports in decision-making with multiple alternatives
Decoding NYU’s Growing up in Science (GUIS) Series with Dr. Wei Ji Ma
Behind the CV: Wei Ji Ma
Ma Lab research talk: A neural code for probabilistic computation in visual cortex.
Ma Lab research talk: A neural network walks into a lab
LEARN ABOUT THE LABS: Wei Ji Ma
LIVE: Learning Bayesian Cognitive Modeling | day 1
Introduction to Bayesian Statistics - A Beginner's Guide
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Wei Ji Ma - Tutorial: Bayesian modeling of behavior (Cosyne 2019)

Wei Ji Ma - Tutorial: Bayesian modeling of behavior (Cosyne 2019)

Cosyne 2019 -

Tutorial in Bayesian Statistics Part 1: Basics and Bayes factors

Tutorial in Bayesian Statistics Part 1: Basics and Bayes factors

2020.06.17 Presenter: Ronald van den Berg Part 1 reviewed frequentist hypothesis testing (based on p values) and contrasted ...

Tutorial in Bayesian Statistics Part 2: Parameter estimation and practice

Tutorial in Bayesian Statistics Part 2: Parameter estimation and practice

2020.06.24 Presenter: Gianni Galbiati Part 2 covered

Wei Ji Ma - Modeling of behavior

Wei Ji Ma - Modeling of behavior

Presented at Cognitive Computational Neuroscience (CCN) 2017 (http://www.ccneuro.org) held September 6-8, 2017.

Ma Lab research talk: Confidence reports in decision-making with multiple alternatives

Ma Lab research talk: Confidence reports in decision-making with multiple alternatives

2020.05.04 Hsin-Hung Li and

Decoding NYU’s Growing up in Science (GUIS) Series with Dr. Wei Ji Ma

Decoding NYU’s Growing up in Science (GUIS) Series with Dr. Wei Ji Ma

Fanuel Muindi conducts an in-person interview in New York City with Dr.

Behind the CV: Wei Ji Ma

Behind the CV: Wei Ji Ma

MindCORE spotlights the life of

Ma Lab research talk: A neural code for probabilistic computation in visual cortex.

Ma Lab research talk: A neural code for probabilistic computation in visual cortex.

2020.07.06 Edgar Walker gave an online research talk about his paper A neural code for probabilistic computation in visual cortex ...

Ma Lab research talk: A neural network walks into a lab

Ma Lab research talk: A neural network walks into a lab

2020.06.01 Benjamin Peters and

LEARN ABOUT THE LABS: Wei Ji Ma

LEARN ABOUT THE LABS: Wei Ji Ma

Dr.

LIVE: Learning Bayesian Cognitive Modeling | day 1

LIVE: Learning Bayesian Cognitive Modeling | day 1

NOTE I was having some sound issues in the beginning. I hope to get better at navitaging that moving forward. Follow along with ...

Introduction to Bayesian Statistics - A Beginner's Guide

Introduction to Bayesian Statistics - A Beginner's Guide

Bayesian

#31 Bayesian Cognitive Modeling & Decision-Making, with Michael Lee

#31 Bayesian Cognitive Modeling & Decision-Making, with Michael Lee

I don't know if you noticed, but I have a fondness for any topic related to decision-making under uncertainty — when it's studied ...