Sciweavers

    52 search results - page 3 / 11
    » Experimental Study on Neuronal Spike Sorting Methods
    Sort
    View
    SYNASC
    2005
    IEEE
    97views Algorithms» more  SYNASC 2005»
    A Reinforcement Learning Algorithm for Spiking Neural Networks
    14 years 1 months ago
    A Reinforcement Learning Algorithm for Spiking Neural Networks
    Download  www.coneural.org
    The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
    Razvan V. Florian
    claim paper
    Read More »
    NIPS
    2007
    138views Information Technology» more  NIPS 2007»
    Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
    13 years 8 months ago
    Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
    Download  www.stanford.edu
    Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
    John P. Cunningham, Byron M. Yu, Krishna V. Shenoy...
    claim paper
    Read More »
    IJON
    2006
    78views more  IJON 2006»
    Inhibitory control of spike timing precision
    13 years 7 months ago
    Inhibitory control of spike timing precision
    Download  hal.inria.fr
    GABAergic inhibition via local interneurons may play a role in enhancing spike timing precision in principal cells, since it tends to eliminate the influence of initial conditions...
    Maxime Ambard, Dominique Martinez
    claim paper
    Read More »
    NIPS
    2007
    190views Information Technology» more  NIPS 2007»
    Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
    13 years 8 months ago
    Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
    Download  books.nips.cc
    Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
    Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
    claim paper
    Read More »
    SP
    2008
    IEEE
    159views Security Privacy» more  SP 2008»
    Inferring neuronal network connectivity from spike data: A temporal data mining approach
    13 years 7 months ago
    Inferring neuronal network connectivity from spike data: A temporal data mining approach
    Download  people.cs.vt.edu
    Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
    Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.