analysis:course
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analysis:course [2013/11/14 10:06] mvdm [List of Topics] |
analysis:course [2018/07/07 10:19] |
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| - | ~~DISCUSSION~~ | ||
| - | === List of Topics === | ||
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| - | - [[analysis:course:week1|Good habits for data analysis (paths, backups, versioning, annotation)]] | ||
| - | - [[analysis:course:week2|Visualizing neural data in MATLAB]] | ||
| - | - [[analysis:course:week3|Anatomy of neural data: time series, sampling, aliasing]] | ||
| - | - [[analysis:course:week4|Fourier series, transforms, power spectra]] | ||
| - | - [[analysis:course:week5|Filtering: filter design, use, caveats]] | ||
| - | - [[analysis:course:week6|Time-frequency analysis: spectrograms]] | ||
| - | - [[analysis:course:week7|Time-frequency analysis II: cross-frequency coupling]] | ||
| - | - [[analysis:course:week8|Interactions between multiple signals: coherence and other connectivity measures]] | ||
| - | - [[analysis:course:week9|Spike train analysis: firing rate, interspike interval distributions, autocorrelation, spike spectrum]] | ||
| - | - [[analysis:course:week10|Spike train analysis II: tuning curves, encoding, decoding]] | ||
| - | - Spike-field relationships: phase locking, phase precession, cell assemblies | ||
| - | - Basic parametric hypothesis testing | ||
| - | - Bootstrapping and nonparametric tests | ||
| - | - Regression models | ||
| - | - Principal component analysis, classification | ||
| - | - Spike sorting | ||
| - | === Resources === | ||
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| - | * Textbook: {{:analysis:leis_dspusingmatlab.pdf|Leis, Digital Signal Processing using MATLAB for Students and Researchers}} | ||
| - | * Textbook: {{:analysis:wallisch_matlabforneuro.pdf|Wallisch, MATLAB for Neuroscientists}} | ||
| - | * Textbook: {{:analysis:johnstonwu.pdf|Johnston and Wu, Foundations of Cellular Neurophysiology}} (for reference) | ||
| - | * Textbook: {{:analysis:dayanabbott_theoneuro.pdf|Dayan & Abbott, Theoretical Neuroscience}} (for reference) | ||
| - | |||
| - | === What this course is === | ||
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| - | A hands-on introduction to basic management, visualization, and analysis of vandermeerlab data (spike trains and LFPs from behaving rats) using MATLAB. We will make contact with a few concepts from computer science, signal processing, and statistics. However, the focus is on making initial steps that work and getting pointers to more complete treatment, rather than a thorough theoretical grounding. | ||
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| - | The general format is that you work through the materials presented here on the wiki, you upload your work, I look at it, and we all discuss together at the following class meeting. So for the Week 2 meeting, work through the material under (1) above. | ||
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| - | Class meetings are initially set for 1.30-3.00pm in PAS 2464, but this might change -- changes will be announced by e-mail. There is no course website other than this one. | ||
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| - | === What this course is not === | ||
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| - | Formal, thorough, complete. | ||
| - | |||
| - | === Assessment (only relevant if you are taking this course for credit) === | ||
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| - | Most weeks have you accomplish a series of tasks for which it will be obvious if you have succeeded or not. If you do only these and no more, you will receive a mark of 70%, but there are many ways to do better. | ||
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| - | For instance, most weeks additionally will have more open-ended problems, for which a range of solutions and accompanying interpretations are possible, some of which will be better than others. | ||
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| - | Contributions to the course wiki (elaborations, clarifications, useful resources, etc.) are also valued. | ||
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| - | Collaboration on all aspects of the course is encouraged! As always, work you submit should reflect your own understanding; copying code is not allowed. Recall the [[http://subjectguides.uwaterloo.ca/content.php?pid=490675&sid=4038961|uWaterloo guidelines]] on this. | ||
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| - | === OS X users === | ||
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| - | The lab codebase is set up for machines running 64-bit Windows 7. I have seen everything done on a Mac, but I don't own one and cannot tell you much about how to make it work. Neuralynx has OS X versions of their MATLAB data loaders. | ||
| - | |||
| - | === Preliminaries === | ||
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| - | If you are using a lab computer, make sure you have read the [[computing:labcomputers|General]] info. Note that one of the steps is to send me confirmation that you understand and agree with certain things. Do this before going any further. | ||
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| - | Next, add your name and e-mail address to the [[analysis:course:participants|course participants]] page. | ||
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| - | Each wiki page has a ''Subscribe'' option, so you can get updates by e-mail when the page is changed; please do this, the subscription link is on the right of the page. | ||
analysis/course.txt ยท Last modified: 2018/07/07 10:19 (external edit)
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