Fast, scalable, Bayesian spike identification for multi-electrode arrays. - Test2 - elhamkhani - TriplyDB

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

http://www.wikidata.org/entity/Q33974843

about

Past, present and future of spike sorting techniques Transformation of stimulus correlations by the retina Spike sorting for polytrodes: a divide and conquer approach Physical principles for scalable neural recording.A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis Unified selective sorting approach to analyse multi-electrode extracellular data.Complexity optimization and high-throughput low-latency hardware implementation of a multi-electrode spike-sorting algorithm A model-based spike sorting algorithm for removing correlation artifacts in multi-neuron recordings.Will big data yield new mathematics? An evolving synergy with neuroscience.Consensus-Based Sorting of Neuronal Spike Waveforms Spike Detection for Large Neural Populations Using High Density Multielectrode Arrays.High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity Mapping a complete neural population in the retina An overview of Bayesian methods for neural spike train analysis.A real-time spike classification method based on dynamic time warping for extracellular enteric neural recording with large waveform variability Sorting Overlapping Spike Waveforms from Electrode and Tetrode Recordings.Model-based spike sorting with a mixture of drifting t-distributions.Recent progress in multi-electrode spike sorting methods.Robust spike sorting of retinal ganglion cells tuned to spot stimuli Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering.Spike sorting of synchronous spikes from local neuron ensembles.A unified framework and method for automatic neural spike identification.High-dimensional cluster analysis with the masked EM algorithm.Reconstruction of cell-electrode-adjacencies on multielectrode arrays.Cell type-specific changes in retinal ganglion cell function induced by rod death and cone reorganization in rats.Identification of Retinal Ganglion Cell Firing Patterns Using Clustering Analysis Supplied with Failure Diagnosis.

P2860

Q26999416-5320DF2D-72CA-471D-AC17-A4C9A8CDB9F8 Q27323776-CEEAEDFC-EC2E-4A22-A7A6-B35B0A8AC157 Q28659323-6ACCBBDD-D4A2-4F88-BF81-09F7ED127FE9 Q30447716-3C4FE5BF-9FCA-4713-AB95-CF6D8315641F Q31103807-73D7E979-8966-4480-B5C5-418CD94C963D Q31110383-E64E7399-FB9D-4AFF-BDFB-C3F010B6E583 Q33647621-9D643F49-BED9-4792-9962-60C74C24F508 Q34720487-ED942702-541E-4F4C-89FF-9BEF263B4F1D Q36102447-A6C2796A-58D5-45B6-903C-845FDFE735B4 Q36106720-9009DB16-9049-473E-9CA9-F75F91A6008E Q36381729-6F8974BC-CCFD-4D57-BD6A-DE639195A336 Q36479269-8A61DE39-9D80-4743-9CD2-10325D5E4B2C Q36875355-66BDB3FC-77FB-48F6-9C5B-CC09CFE73B42 Q37375141-07FF1605-6CAB-4394-972B-CC93C9C3EBEB Q38357187-17448E25-092A-4C1D-BEF5-F6997E748FE5 Q38598851-29A79414-9006-43BF-87B5-26D57DF088AF Q38708240-648A85EB-12A5-45D4-8088-C95189123224 Q38750073-FC8BAE32-49CD-4093-B9D7-AC3837C88A8C Q38924062-0705EDC7-C4DE-43E6-9DDF-2AF5804D6B94 Q40307986-F70F9303-B4CB-45D8-9A06-81D0B6C2A59B Q40626255-86199D63-0A6E-4FA7-B90C-DB4D816E6698 Q41478838-3625D5AB-0024-4991-AC75-37260A02F861 Q42056301-0C39718F-00B4-47C5-B918-8677EE1010A3 Q44550215-7CC0C5BF-AFAD-4236-BAFA-19F6C1AB422D Q46253503-F60F0AB7-BD3F-4D3E-AC8B-D94DFE851534 Q52598268-E3F6FC62-A4B4-4FAB-A5BC-699D1639A8EF

P2860

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

http://www.wikidata.org/entity/Q33974843

description

2011 nî lūn-bûn

@nan

2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

name

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

@ast

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

@en

type

label

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

@ast

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

@en

prefLabel

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

@ast

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

@en

P1433

Q33974843-853D7510-8E02-4EF7-A2BF-45C0099B0BD1

P1476

Q33974843-65032568-A428-4431-A4FE-CAD8E3A36F01

P2093

Q33974843-3EBFDE9B-5BD2-4F04-9B8D-6761C5CD1688

Q33974843-5A0A9FB9-61CD-494B-B15E-24F54B9CBA9E

Q33974843-9E67C884-C3CB-4B58-9033-D72CDCC79271

Q33974843-C5901DE1-F2A4-4E36-AFFF-E41D5719857F

Q33974843-D4AA6067-96E1-402B-8605-C42933DFB917

Q33974843-F5D89F5F-B93F-452C-B91B-49258AF8EC0E

P2860

Q33974843-01665F87-BB55-47B1-BCF1-1C9AE448D947

Q33974843-06CE7464-F3CE-469F-BD8F-304658CDA3DC

Q33974843-15F81538-682D-4A0F-BE2E-5FD11D6A5D54

Q33974843-1E67BAEF-9651-4491-A6D8-391E2127310B

Q33974843-2815B86A-5154-48BD-AA40-667E8468CD74

Q33974843-345B6464-8F33-405D-9784-8FCBD620D22F

Q33974843-404E8987-007E-45B6-B6A2-EE2942C1549C

Q33974843-40F1B27D-6B23-4EAF-98B1-01DD2271DC40

Q33974843-43292B27-512F-43C2-8811-8627FB09B048

Q33974843-6EE9A6F2-5E28-45B5-87AD-2CDD0409D37B

P304

Q33974843-E8B54802-155C-45A9-8DD1-9FC646666FE5

P31

Q33974843-76C26515-5079-4274-B0E3-59DC03E18F2B

P356

Q33974843-75969117-5B1C-4B4C-AAE4-F4AF890085B6

P407

Q33974843-1D684514-C8F6-4D42-8156-F1D0230FE9AE

P433

Q33974843-0D8F443D-42DE-4554-9840-4CA65EFB2823

P478

Q33974843-50E61E9F-0F95-4766-BE2B-398CB13A0900

P577

Q33974843-EE337AAB-1B74-4157-9F47-E6656A5545D9

P5875

Q33974843-DA61B65E-420A-4E0B-B169-61F0B6D20409

P698

Q33974843-499F1C15-2603-4BED-ADC0-C73DAA91D7D1

P818

Q33974843-85C07D3A-7DEA-41A8-833C-F817CBA5325E

P932

Q33974843-3FCA395E-F33D-4E93-876E-C2ACAE4B3EDC

P356

JOURNAL.PONE.0019884

P1433

P1476

Fast, scalable, Bayesian spike identification for multi-electrode arrays.

@en

P2093

Gašper Tkačik

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

Jan Homann

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

Jason S Prentice

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

Kristina D Simmons

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

Philip C Nelson

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

Vijay Balasubramanian

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

P2860

Large-scale recording of neuronal ensembles

Weak pairwise correlations imply strongly correlated network states in a neural population

Tetrodes markedly improve the reliability and yield of multiple single-unit isolation from multi-unit recordings in cat striate cortex

Matching pursuits with time-frequency dictionaries

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

Optimal population coding by noisy spiking neurons

Retina is structured to process an excess of darkness in natural scenes

Traditional waveform based spike sorting yields biased rate code estimates.

Spatio-temporal correlations and visual signalling in a complete neuronal population

Dendritic field size and morphology of midget and parasol ganglion cells of the human retina.

P304

e19884

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

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0019884

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

P407

P433

7

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

P478

6

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

P577

2011-07-20T00:00:00Z

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

P5875

51531129

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

P698

21799725

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

P818

1007.2787

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

P932

3140468

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