Spike sorting algorithms aim at decomposing complex extracellular signals to independent events from single neurons in the electrode’s vicinity. The decision about the actual number of active neurons is still an open issue, with sparsely firing neurons and background activity the most influencing factors. Read the rest of this entry…
SAN 2011 abstract in Neuroscience Letters 2011, vol. 500(Suppl.), e32-33. Read the rest of this entry…
An overview of the spike sorting problem and challenges in IEEE Signal Processing Magazine.
A review and comparative analysis paper of contemporary algorithms in the spike sorting domain, published in Journal of Neuroscience Methods.
| 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