'Spike detection' presentation slideshows

Zoran Nenadic Division of Engineering and Applied Science California Institute of Technology

Optimization of Extracellular Recordings: Control Algorithm and Unsupervised Signal Processing. Zoran Nenadic Division of Engineering and Applied Science California Institute of Technology. Department of Biomedical Engineering University of California Irvine May 3, 2004.

581 views • 57 slides

IEEE CDC Workshop, Dec. 8, 2008

IEEE CDC Workshop, Dec. 8, 2008. Modeling Neuronal Multi-Unit Activity and Neural Dynamics. Zhe (Sage) Chen zhechen@mit.edu Neuroscience Statistics Research Laboratory MGH/HMS/MIT. Acknowledgment. Emery N. Brown (MIT/Harvard/MGH) Matt A. Wilson (MIT) Sujith Vijayan (Harvard/BU)

564 views • 42 slides

The CARMEN Neuroinformatics Server

The CARMEN Neuroinformatics Server Paul Watson 1 , Tom Jackson 2 , Georgios Pitsilis 1 , Frank Gibson 1 , Jim Austin 2 , Martyn Fletcher 2 , Bojian Liang 2 , Phillip Lord 1 1 School of Computing Science, Newcastle University 2 Department of Computer Science, University of York.

383 views • 24 slides

Synchronization in Epilepsy and Schizophrenia

335 views • 20 slides

Unsupervised spike sorting with wavelets and super-paramagnetic clustering

Unsupervised spike sorting with wavelets and super-paramagnetic clustering. Rodrigo Quian Quiroga Div. of Biology Caltech. Problem: detect and separate spikes corresponding to different neurons. Outline of the method:. I - Spike detection: amplitude threshold.

424 views • 9 slides

Extracellular spike detection using Cepstrum of Bispectrum Shahjahan Shahid and Leslie S. Smith

Assumed: minimum inter spike interval and detection accuracy = 1.0ms. Fig. 3 cob Technique applied to intracellular signal recorded from dendrites. Fig 4. cob Technique applied to extracellular signal recorded simultaneously from inside and outside of the neuron.

151 views • 1 slides