have an interactive transcript feature enabled, which appears below the video when playing. Viewers can search for keywords in the video or click on any word in the transcript to jump to that point in the video. When searching, a dark bar with white vertical lines appears below the video frame. Each white line is an occurrence of the searched term and can be clicked on to jump to that spot in the video.
Recorded:
Apr 19, 2018
Uploaded:
May 9, 2018
Part of
Computational Tutorials
CBMM Speaker(s):
Emily Mackevicius
Speaker(s):
Andrew Bahle
The ability to identify interpretable, low-dimensional features that capture the dynamics of large-scale neural recordings is a major challenge in neuroscience. Dynamics that include repeated temporal patterns (which we call sequences), are not...
![Embedded thumbnail for Dimensionality Reduction for Matrix- and Tensor-Coded Data [Part 2] (46:05)](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/O-YTsSuEFiM.jpg?itok=TkAdikP7)
Recorded:
Sep 5, 2017
Uploaded:
September 11, 2017
Part of
Computational Tutorials
Speaker(s):
Alex Williams
Taught by: Alex Williams, Stanford University
In many scientific domains, data is coded in large tables or higher-dimensional arrays. Compressing these data into smaller, more manageable representations is often critical for extracting scientific...
![Embedded thumbnail for Dimensionality Reduction for Matrix- and Tensor-Coded Data [Part 1] (53:36)](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/hmmnRF66hOA.jpg?itok=qfX6mqaC)
Recorded:
Sep 5, 2017
Uploaded:
September 11, 2017
Part of
Computational Tutorials
Speaker(s):
Alex Williams
Taught by: Alex Williams, Stanford University
In many scientific domains, data is coded in large tables or higher-dimensional arrays. Compressing these data into smaller, more manageable representations is often critical for extracting scientific...
Recorded:
Jul 12, 2017
Uploaded:
July 17, 2017
Part of
Computational Tutorials
Speaker(s):
Pengcheng Zhou
[recording cut short due to technical issues]
In vivo calcium imaging through microendoscopic lenses enables imaging of previously inaccessible neuronal populations deep in the brains of freely moving animals. It is computationally challenging to...
Recorded:
Jun 16, 2017
Uploaded:
June 29, 2017
Part of
Computational Tutorials
CBMM Speaker(s):
Samuel Gershman
This tutorial introduces the basic concepts of reinforcement learning and how they have been applied in psychology and neuroscience. Hands-on exercises explore how simple algorithms can explain aspects of animal learning and the firing of...
Recorded:
May 10, 2017
Uploaded:
May 12, 2017
Part of
Computational Tutorials
Speaker(s):
Eric Denovellis
This tutorial focuses on best coding practices to develop code that is reusable, sharable, and bug free. It highlights issues such as documentation, version control, and unit testing, through hands-on computer exercises.
Taught by: Eric Denovellis,...
Recorded:
Apr 26, 2017
Uploaded:
April 28, 2017
Part of
Computational Tutorials
Speaker(s):
Harini Suresh, Nicholas Locascio
Long Short Term Memory networks (LSTMs) are a type of recurrent neural network that can capture long term dependencies, which are frequently used for natural language modeling and speech recognition. This tutorial covers the conceptual basics of...
Recorded:
Mar 22, 2017
Uploaded:
March 23, 2017
Part of
Computational Tutorials
Speaker(s):
Jai Bhagat, Caroline Moore-Kochlacs
In in-vivo animal models, neuroscience experiments in electrophysiology are commonly performed with the use of extracellular electrodes implanted in the cell layer of specific brain regions of interest. These electrodes record voltage traces and...
Recorded:
Feb 16, 2017
Uploaded:
February 16, 2017
Part of
Computational Tutorials
Speaker(s):
Evan Remington
Evan Remington, MIT
An introduction to the OpenMind computing resources, and best practices when using it.
More information can be found here - https://stellar.mit.edu/S/project/bcs-comp-tut/index.html
Recorded:
Feb 16, 2017
Uploaded:
February 16, 2017
Part of
Computational Tutorials
Speaker(s):
Satrajit Ghosh
Satrajit Ghosh, MIT
The tutorial will focus on singularity, an HPC container service, and how to incorporate it into your openmind workflow.
More information can be found here - https://stellar.mit.edu/S/project/bcs-comp-tut/index.html
Update from...