analysis:nsb2014
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| - | ~~DISCUSSION~~ | ||
| - | === List of Topics === | ||
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| - | * [[analysis:nsb2014:week0|Introduction: Principles of careful data analysis]] | ||
| - | * [[analysis:nsb2014:week1|Module 1: Good habits and tools (paths, backups, versioning, annotation)]] | ||
| - | * [[analysis:nsb2014:week2|Module 2: Introduction to Neuralynx data formats and preprocessing]] | ||
| - | * [[analysis:nsb2014:week3|Module 3: Anatomy of neural data: time series, sampling, aliasing]] | ||
| - | * [[analysis:nsb2014:week4|Module 4: Spike sorting]] | ||
| - | * [[analysis:nsb2014:week5|Module 5: Visualizing neural data in MATLAB]] | ||
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| - | - [[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, auto- and crosscorrelations]] | ||
| - | - [[analysis:course:week10|Spike train analysis II: tuning curves, encoding, decoding]] | ||
| - | - [[analysis:course:week11|Spike-field relationships: spike-triggered average, phase locking, phase precession]] | ||
| - | - [[analysis:course:week12|Basic hypothesis testing: parametric, nonparametric, bootstrapping]] | ||
| - | - [[analysis:course:week13|Basic model fitting: regression, general linear models]] | ||
| - | - [[analysis:course:week14|Dimensionality reduction methods, classification]] | ||
| - | - [[analysis:course:week15|Spike sorting]] | ||
| - | === Prerequisites === | ||
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| - | Basic familiarity with MATLAB. Depending on your background and programming experience you might find the following resources helpful: | ||
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| - | * Textbook: {{:analysis:wallisch_matlabforneuro.pdf|Wallisch, MATLAB for Neuroscientists}} | ||
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| - | If you can solve these exercises you are ready for this course. | ||
| - | |||
| - | === Resources === | ||
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| - | This course is "standalone", but the following textbooks provide more in-depth treatment of some of the topics. | ||
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| - | * Textbook: {{:analysis:leis_dspusingmatlab.pdf|Leis, Digital Signal Processing using MATLAB for Students and Researchers}} | ||
| - | * Textbook: {{:analysis:johnstonwu.pdf|Johnston and Wu, Foundations of Cellular Neurophysiology}} | ||
| - | * Textbook: {{:analysis:dayanabbott_theoneuro.pdf|Dayan & Abbott, Theoretical Neuroscience}} | ||
| - | |||
| - | === What this course is === | ||
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| - | A hands-on introduction to basic management, visualization, and analysis of neurophysiology data (spike trains and LFPs from behaving rodents) 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. | ||
| - | |||
| - | === What this course is not === | ||
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| - | This course will provide a brief introduction to a number of concepts which are themselves the subject of multiple courses and thick textbooks. These include signal processing topics such as Fourier analysis and filter design, computer science concepts such as object-oriented programming and binary data formats, and a number of statistical ideas and tools. Be aware that if any of these are particularly important to your research, you should consider taking more in-depth coursework and/or working through relevant textbooks on your own. | ||
| - | |||
| - | === Note for Linux and OS X users === | ||
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| - | The lab codebase is set up for machines running 64-bit Windows 7. To make the low-level loading functions work on OSX or Linux, you'll need to download them yourself from the Neuralynx website. Some more specific instructions are provided in subsequent modules when loading is introduced. | ||
| - | |||
| - | === Preliminaries === | ||
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| - | If you are using a vandermeerlab 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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| - | 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/nsb2014.txt ยท Last modified: 2018/07/07 10:19 (external edit)
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