This section provides an introduction to the analysis of data obtained from using small extracellular electrodes to record neural activity.
There’s a great deal of interesting stuff to be learned from analyzing simultaneously recorded spike trains. Probably the most popular analysis involves the construction of the crosscorrelograms and JPSTHs.
MULAB, University of Pennsylvania provides an excellent tutorial on these issues.
A Matlab Data Analysis Tutorial for use on Computational Neuroscience methods.
The purpose of this tutorial is to present several advanced statistics techniques using Matlab Statistics toolbox.
The purpose of this tutorial is to present several statistics techniques using Matlab Statistics toolbox.
| M | T | W | T | F | S | S |
|---|---|---|---|---|---|---|
| « Jan | ||||||
| 1 | 2 | 3 | ||||
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 | 16 | 17 |
| 18 | 19 | 20 | 21 | 22 | 23 | 24 |
| 25 | 26 | 27 | 28 | 29 | 30 | |
Exoskeleton Retinal prosthesis human to human interface Connectomics Graph Theory neuroethics tCS CPG Biometrics Plasticity Trajectories systems-neuroscience music recommendation music neuroscience Deep Learning Interpretability Learnable Filters network neuroscience multiplexing Conferences music perception brain networks modularity community detection brain to brain interface transcranial direct current stimulation music Sparse neurons Noise Deep Brain Stimulation LFP Neural coding TMS Computational Neuroscience Brain-inspired Computing Neuroimaging Wavelets Neuro-inspired Computing neuroprosthetics Bionics Machine Learning neural recordings EEG Information Theory Dimensionality Reduction Modelling Neural Networks Clustering Statistical Analysis Neurophysiology Spike Sorting Brain Research Brain Interfaces
WP Cumulus Flash tag cloud by Roy Tanck requires Flash Player 9 or better.
IEEE Spectrum Biomedical
Neurobot via RSS