'Spike train' diaporamas de présentation

NeuroComputing CENG569, Fall 2012-2013 1 st Lecture

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Entropy and Information

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Movable Electrodes & Feature-Based Decoding

Movable Electrodes & Feature-Based Decoding. S. Cao , Z. Nenadic, D. Meeker, R. Andersen E. Branchaud, J. Cham, J. Burdick Engineering & Applied Science Biology. Reach. Feature Based Spike Decoding. Prosthetic Control Signal.

584 views • 44 slides

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.

479 views • 34 slides

374 views • 27 slides

Some Characteristics of Spiking Neural P Systems with Anti-Spikes

Some Characteristics of Spiking Neural P Systems with Anti-Spikes. Kamala Krithivasan Department of Computer Science and Engineering Indian Institute of Technology, India kamala@iitm.ac.in. Co-authors Padmavati Metta Deepak Garg. Outline. Spiking Neural P (or SN P) system

452 views • 25 slides

Auditory Nerve Laboratory: What was the Stimulus?

270 views • 8 slides