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Correlations Without Synchrony

Correlations Without Synchrony

Correlations Without Synchrony. Carlos D. Brody. Presented by: Oded Ashkenazi. Overview. Neurological Background Introduction Notations Latency, Excitability Covariograms 3 Rules of Thumb Conclusion. Neurological Background. The Human Brain: A Complex Organism.

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542 views • 44 slides
Voice Recognition by a Realistic Model of Biological Neural Networks

Voice Recognition by a Realistic Model of Biological Neural Networks

Voice Recognition by a Realistic Model of Biological Neural Networks. by Efrat Barak Supervised by Karina Odinaev Igal Raichelgauz. Structure . Project Objective The Model The Classification Process Results & Analysis Conclusion. Project Objective.

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566 views • 36 slides
A Geodesic Method for Spike Train Distances

A Geodesic Method for Spike Train Distances

A Geodesic Method for Spike Train Distances. Neko Fisher Nathan VanderKraats. Neuron: The Device. Input: dendrites Output: axon Dendrite/axon connection = synapse. http://training.seer.cancer.gov/module_bbt/unit02_sec04_b_cells.html. Synapse Dendrites (Input) Cell Body Axon (Output).

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449 views • 36 slides
Impact of Correlated inputs on Spiking Neural Models

Impact of Correlated inputs on Spiking Neural Models

Impact of Correlated inputs on Spiking Neural Models. Baktash Babadi School of Cognitive Sciences PM, Tehran, Iran. Background. The neuroscientists are mostly concerned with how the world is represented in the nervous system.

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478 views • 34 slides
Introduction to STAToolkit

Introduction to STAToolkit

and data interchange with Chronux. Introduction to STAToolkit. Adapted from MBL Course in Neuro-Informatics. August 2008 and updated as of January 2010. Jonathan D. Victor. Department of Neurology and Neuroscience Weill Cornell Medical College. Credits.

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351 views • 22 slides
Ergodicity talk 2

Ergodicity talk 2

Spike trains in the auditory pathway. Ergodicity talk 2. Petr Marsalek Department of Pathological Physiology, First Medical Faculty, Charles University in Prague, Czech Republic Max Planck Institute for the Physics of Complex Systems, Dresden, Germany

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210 views • 20 slides
Extracellular spike detection using Cepstrum of Bispectrum Shahjahan Shahid and Leslie S. Smith

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.

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147 views • 1 slides

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