Courses: Neuroimaging Online Courses / Workshops
Date: March 28, 2024 1:31 PM
Table of Contents
Neuroscience Research Courses:
- OHBM - All Seminars
Courses (in playlists on youtube channel):
NeuroAI, Bayesian Decisions, Hidden Dynamics, Model Fitting, Modeling Practice, Model Types, Projects Datasets, Intro to Brain Science, Autoencoders Intro, Deep Learning, Network Causality, Dynamic Networks, Biological Neuron Models, Reinforcement Learning, Optimal Control, Hidden Dynamics, Decision Making, Linear Systems, Dimensionality Reduction, Model Fitting, Machine Learning: GLM
Course Collections & Study Tracks (INCF)
Introduction to FAIR Neuroscience
Introduction to Computational Neuroscience
Introduction to Neuroinformatics
Courses (INCF)
Selected recent courses below, there are hundreds of courses on the Training Space link! You can also filter courses by level (Beginner, Intermediate, Advanced) or keyword.
The Neuroinformatics of Neuroanatomy by: INCF
Cajal Course in Computational Neuroscience by: CAJAL Advanced Neuroscience Training
Fundamental Methods for Genomic Analysis by: Krembil Centre for Neuroinformatics
Ethics and Governance by: CONP Training
Computational Neuroscience: The Basics by: INCF
Deep Learning: Control by: NYU Center for Data Science
Introduction to Neurodata Without Borders (NWB) for MATLAB Users I by: NWB Core Development Team
Publishing by: CONP Training**
Tutorials (Technical and Process) (INCF)
Selected tutorials below. More available on INCF Website
Hypothes.is: A Web-Based Annotation Tool
Jupyter Notebooks by EuroPython Conference
OpenNeuro.org Tutorials by OpenNeuro.org
How to Use Allen Institute for Brain Science Resources
Allen Institute for Brain Science
Programming for Neuroimaging - Python, R, MATLAB
Notebooks - Jupyter Notebooks and others
MIT OpenCourseWare in Neuroscience
Hundreds of courses
Research Topics in Neuroscience
Developmental Cognitive Neuroscience
Introduction to Computational Neuroscience
Cognitive Neuroscience of Remembering: Creating and Controlling Memory
UMich Center for the Study of Complex Systems
MIT Center for Brains, Minds + Machines - Learning Hub
### Machine Learning for Neuroscience Courses
### Functional Processes in the Brain Courses
Face Recognition Object Recognition ** Other Visual Processes Language Memory & Sleep Spatial Navigation & Robotics Auditory Processing Attention & Search Consciousness ### Functional Organization in the Brain
Functional Organization of the Brain & Brain Dysfunction
### Neuroscience Methods Courses
fMRI Methods & Analysis Neuroscience Methods, Data Analysis & Innovations Psychophysical Methods & Data Analysis ### Intelligence & Artificial Intelligence Courses
Neural Reckoning: Imperial College London
Course: Neuroscience for Machine Learners
Recordings of SNUFA Workshops
All Seminars - Youtube @neuralreckoning
Stanford Center for Reproducible Neuroscience
Neuroscience and Neuroimaging Specialization: Computational Neuroscience by Johns Hopkins University
- National Academies
- Exploring the Bidirectional Relationship Between Artificial Intelligence and Neuroscience: A Workshop (Video streams of event) from March 25-26, 2024
- Explored the bidirectional relationship between neuroscience and AI, including the contributions neuroscience has made to the development of AI and the utilization of AI to further understanding of the brain.
- Discussed the utility and limitations of AI in basic, translation, and clinical neuroscience research.
- Examined the potential for autonomy and agency in AI systems, and the associated implications for the field of neuroscience.
- Discussed the key role of neuroscience in equipping regulators and the public with knowledge and resources for the responsible use of AI in research, clinical, and general applications.
- Considered research priorities and public education needs regarding the role of neuroscience in AI and AI in neuroscience research.
- Exploring the Bidirectional Relationship Between Artificial Intelligence and Neuroscience: A Workshop (Video streams of event) from March 25-26, 2024
Cognitive Computational Neuroscience (CCN) Conference
MeTrics Lab
Coding for Research/Analysis Courses
Intro to Machine Learning Full Course
Statistical Learning with Python
- The Good Research Code Handbook
- Marcus Hutter, Google DeepMind [Just slides, projects and readings]
Topic: Data Preparation
Topic: Data Science
Topic: Sci-Kit Learn (Python)
Topic Python for Machine Learning
Topic: Predictive Modeling in R
- Coding and Software Tutorials and Processes (INCF)
- MIT Open Courseware (https://ocw.mit.edu/)
Specific Neuro-software Courses:
Getting Started with BIDS: Tutorial Series
Jupyter Notebooks by EuroPython Conference
OpenNeuro.org Tutorials by OpenNeuro.org