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Automatic online spike sorting with singular value decomposition and fuzzy C-mean clustering

Automatic online spike sorting with singular value decomposition and fuzzy C-mean clustering

http://www.wikidata.org/entity/Q30462243

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A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis Spike detection based on normalized correlation with automatic template generation.An Efficient VLSI Architecture for Multi-Channel Spike Sorting Using a Generalized Hebbian Algorithm.Efficient architecture for spike sorting in reconfigurable hardware.A Low Cost VLSI Architecture for Spike Sorting Based on Feature Extraction with Peak Search.An Unsupervised Online Spike-Sorting Framework.Chronic interfacing with the autonomic nervous system using carbon nanotube (CNT) yarn electrodes.An Efficient Hardware Circuit for Spike Sorting Based on Competitive Learning Networks.Superlinear Summation of Information in Premotor Neuron Pairs.

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Automatic online spike sorting with singular value decomposition and fuzzy C-mean clustering

http://www.wikidata.org/entity/Q30462243

description

2012 nî lūn-bûn

@nan

2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

name

Automatic online spike sorting ...... on and fuzzy C-mean clustering

@ast

Automatic online spike sorting ...... on and fuzzy C-mean clustering

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type

label

Automatic online spike sorting ...... on and fuzzy C-mean clustering

@ast

Automatic online spike sorting ...... on and fuzzy C-mean clustering

@en

prefLabel

Automatic online spike sorting ...... on and fuzzy C-mean clustering

@ast

Automatic online spike sorting ...... on and fuzzy C-mean clustering

@en

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1471-2202-13-96

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BMC Neuroscience

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Automatic online spike sorting ...... on and fuzzy C-mean clustering

@en

P2093

Andriy Oliynyk

http://www.w3.org/2001/XMLSchema#string

Fernando Montani

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P2860

Large-scale recording of neuronal ensembles

Multiple neural spike train data analysis: state-of-the-art and future challenges

Spectral representation--analyzing single-unit activity in extracellularly recorded neuronal data without spike sorting.

Python for large-scale electrophysiology.

OpenElectrophy: An Electrophysiological Data- and Analysis-Sharing Framework.

A review of methods for spike sorting: the detection and classification of neural action potentials.

A clustering technique for summarizing multivariate data.

Extracting information from neuronal populations: information theory and decoding approaches.

Spike detection, characterization, and discrimination using feature analysis software written in LabVIEW.

Efficient Implementation of the Fuzzy c-Means Clustering Algorithms.

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1471-2202-13-96

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96

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scholarly article

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10.1186/1471-2202-13-96

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13

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Claudio Bonifazzi

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2012-08-08T00:00:00Z

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230631697

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