Mixture of trajectory models for neural decoding of goal-directed movements. - Wikidata - awgldk - TriplyDB

Mixture of trajectory models for neural decoding of goal-directed movements.

Mixture of trajectory models for neural decoding of goal-directed movements.

http://www.wikidata.org/entity/Q48411861

about

Spiking and LFP activity in PRR during symbolically instructed reaches.Motor cortical control of movement speed with implications for brain-machine interface control.A new look at state-space models for neural data.Real-time decision fusion for multimodal neural prosthetic devices.Prior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding.Coding of stimulus sequences by population responses in visual cortex High Precision Neural Decoding of Complex Movement Trajectories using Recursive Bayesian Estimation with Dynamic Movement Primitives.A study on decoding models for the reconstruction of hand trajectories from the human magnetoencephalography.Intention estimation in brain-machine interfaces.Neuronal spike train analysis in likelihood space.Bayesian models: the structure of the world, uncertainty, behavior, and the brain.Decoding with limited neural data: a mixture of time-warped trajectory models for directional reaches.Primary motor cortical discharge during force field adaptation reflects muscle-like dynamics Efficient decoding with steady-state Kalman filter in neural interface systems.A real-time brain-machine interface combining motor target and trajectory intent using an optimal feedback control design.Motor cortical prediction of EMG: evidence that a kinetic brain-machine interface may be robust across altered movement dynamics.Brain-controlled muscle stimulation for the restoration of motor function.Real-time decoding of nonstationary neural activity in motor cortex Point-and-click cursor control with an intracortical neural interface system by humans with tetraplegia.A state space approach for piecewise-linear recurrent neural networks for identifying computational dynamics from neural measurements.Techniques for extracting single-trial activity patterns from large-scale neural recordings Analysis of between-trial and within-trial neural spiking dynamics.A high-performance neural prosthesis enabled by control algorithm design A dynamical systems view of motor preparation: implications for neural prosthetic system design Detecting neural-state transitions using hidden Markov models for motor cortical prostheses.Toward optimal target placement for neural prosthetic devices.Factor-analysis methods for higher-performance neural prostheses.Decoding trajectories from posterior parietal cortex ensembles Methods for estimating neural firing rates, and their application to brain-machine interfaces.A Sliced Inverse Regression (SIR) Decoding the Forelimb Movement from Neuronal Spikes in the Rat Motor Cortex.Real-time implementation of biofidelic SA1 model for tactile feedback.Challenges and opportunities for next-generation intracortically based neural prostheses Velocity neurons improve performance more than goal or position neurons do in a simulated closed-loop BCI arm-reaching task.Coupling Time Decoding and Trajectory Decoding using a Target-Included Model in the Motor Cortex.Neural decoding of hand motion using a linear state-space model with hidden states.A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces.Dealing with target uncertainty in a reaching control interface.Population decoding of motor cortical activity using a generalized linear model with hidden states.Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia Brain-computer interface control along instructed paths.

P2860

Q30409232-95A5BE10-F101-4153-AB42-199F637EEA53 Q30581092-11A96ABB-ED8C-47CA-A16E-4F569B2E4B81 Q33489684-7D446EF9-6435-4559-9FE6-EE43862D1445 Q33538075-60125DB3-7A63-4339-B5C2-15CAFDEFBD57 Q33608073-E71C3FF5-96C6-4EEF-836D-F51170DB8C02 Q33761375-A13AD3B2-1F6B-4417-9FD0-DAC2E0B08CD9 Q33806336-8EE5E959-9D60-429A-A71B-F7B561BEE222 Q33876574-481A0056-0634-470B-8A5E-67AFC744CCEE Q33926316-D42C66A0-349B-485F-9B2A-227FD3654587 Q33954750-31711674-FCFD-43BB-B865-F094B2845610 Q34177725-2DF51793-986D-458A-99CA-7FB2B4CD554C Q34226191-050A4298-05AE-4003-ADFB-589E7BEC46B7 Q34343636-C69EBAC2-19D1-4E0E-9AA7-54EF1A5B6BBF Q34604189-0A1477EB-2CD2-4BD4-ADAF-3941EFAA308C Q34672341-B57448D5-8D15-49DA-B14F-DE3185823C6B Q35160468-21CEC768-80F8-4479-97A0-9F99C73DB656 Q35547402-9A22392B-3E44-4249-9321-42D3FB98A589 Q35794847-F3E9BC54-9E46-4721-80DB-CD36C7D91E4E Q35804115-A8ABF3B9-90BA-4CE0-A640-347E8DB2506D Q36390761-C083EB03-35DD-4B0D-808E-3742564955EC Q36453626-EFAF0097-F81C-426B-AACE-8900A80043F0 Q36726015-AAED39C5-6129-42F7-AD62-AFEE7F070D9E Q36800293-B6CF5DAF-F8A6-4ECC-AD93-CE16ED84CDED Q36880800-F399DDC1-F900-4463-B756-42A1E5D08021 Q36957007-7820EA9C-AE55-48EE-A093-78A50628430A Q37018575-4BC83499-9A05-4AFF-B3D1-930F19721B8B Q37298734-C2206FAF-DB5E-4735-8F8B-45A4408791AF Q37308289-A079B8E4-23F8-4C48-9435-EA9FC7335929 Q37435159-2AE02150-AED2-48BE-AA7C-BFC52B11116E Q37486679-0A9DF112-2660-4B44-ADD7-1EE513E14D7B Q37656519-424AD503-075A-4ABC-9579-C33CC0A83DA9 Q37831709-317550BC-F8F0-495D-AC92-A5EDE632BEDC Q38978357-170C2B6D-07DB-4438-B037-60432CEEEB59 Q41546523-39A32647-1BCD-41A9-935E-1CBAAA3690CD Q41633090-A22F2CBC-DCB1-431F-9662-5CE8F8A119EB Q41769935-2E3BF544-10D8-4F37-AF50-94E0F398518F Q41896625-2EF16DE3-FBF6-4937-AE2A-AC7F57B07D03 Q42103568-3D698B8A-6170-4B8D-A111-1B14616DDFEE Q42174533-B8CF548B-2A57-45C3-9E6D-F72078B4E122 Q42556168-03A45488-64EE-470F-96E4-D69608EBAB12

P2860

Mixture of trajectory models for neural decoding of goal-directed movements.

http://www.wikidata.org/entity/Q48411861

description

2007 nî lūn-bûn

@nan

2007年の論文

@ja

2007年学术文章

@wuu

2007年学术文章

@zh

2007年学术文章

@zh-cn

2007年学术文章

@zh-hans

2007年学术文章

@zh-my

2007年学术文章

@zh-sg

2007年學術文章

@yue

2007年學術文章

@zh-hant

name

Mixture of trajectory models for neural decoding of goal-directed movements.

@en

Mixture of trajectory models for neural decoding of goal-directed movements.

@nl

type

label

Mixture of trajectory models for neural decoding of goal-directed movements.

@en

Mixture of trajectory models for neural decoding of goal-directed movements.

@nl

prefLabel

Mixture of trajectory models for neural decoding of goal-directed movements.

@en

Mixture of trajectory models for neural decoding of goal-directed movements.

@nl

P1433

Q48411861-C50043DF-9DB7-486D-9DE0-A2ED72DA008F

P1476

Q48411861-511247A8-CA2D-46EB-B395-2D8CFC7D5E34

P2093

Q48411861-0CB28A8D-BFC2-46B4-AC1F-3199981F495F

Q48411861-43E5FBBA-6F42-434E-A2DE-F4DBF07B454D

Q48411861-74B1E9F9-5641-4AC1-B2A4-272528CD2DD1

Q48411861-8E65C50C-3FCC-47FD-8A55-DF955D40C539

Q48411861-A4B2BB8A-0697-4946-9090-97D510B3F996

Q48411861-B733EBFC-F6EB-491B-91C8-D7F8158D1A1D

Q48411861-CA057078-FD01-42B0-85B3-EA213DF067E8

Q48411861-E024C8AD-4F41-49AC-B553-E6F389F7DD08

P2860

Q48411861-001B1972-6B61-492C-B0E9-634F53126B36

Q48411861-0C9C0EDC-5A34-4BE1-9D08-9BB3FE5F3676

Q48411861-0ECDF3B0-5538-4D95-84CD-B3DF560C6B86

Q48411861-0F32D94C-B934-4C14-BB66-16883A64F423

Q48411861-121260EF-5C97-4B2A-8985-A5CDB2921449

Q48411861-1414083C-D261-4A60-8376-08302DD43F2A

Q48411861-1B1D87A0-3B5B-4BA5-877C-62D109FDD2A5

Q48411861-21B3FEC7-04B9-42D9-89ED-8C4A47692373

Q48411861-27D47602-3769-4C38-A4B9-875C4FB73F6D

Q48411861-289F495C-2DE0-4E97-BB18-48CDE6E787A0

P304

Q48411861-2F0AF9A3-CEC0-44A9-9553-38611A3464B4

P31

Q48411861-25FE9089-A566-482E-9A64-0881C7ACD4F3

P356

Q48411861-755C407E-3692-4831-89DF-1A90DE357308

P407

Q48411861-41466DD0-D4A2-44EA-8AD3-BE1D4D26B1F2

P433

Q48411861-22F31975-4330-45B3-9E92-6749B310C276

P478

Q48411861-7D1FA48A-561B-4887-BF68-10B6C9614FF7

P577

Q48411861-DBCA6143-683E-44C7-99C3-26475028C80B

P5875

Q48411861-7FC4C48B-02FD-4F48-B120-2F226B8E630E

P698

Q48411861-5FF03E52-12EA-4757-A7BB-F421367EC594

P356

P1433

Journal of Neurophysiology

P1476

Mixture of trajectory models for neural decoding of goal-directed movements.

@en

P2093

Afsheen Afshar

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

Byron M Yu

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

Caleb Kemere

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

Gopal Santhanam

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

Krishna V Shenoy

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

Maneesh Sahani

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

Stephen I Ryu

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

Teresa H Meng

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

P2860

Learning to control a brain-machine interface for reaching and grasping by primates

Restoration of neural output from a paralyzed patient by a direct brain connection

Neuronal ensemble control of prosthetic devices by a human with tetraplegia

Motor cortical representation of speed and direction during reaching.

Instant neural control of a movement signal.

Direct cortical control of 3D neuroprosthetic devices.

Cognitive control signals for neural prosthetics.

Neuronal population coding of movement direction.

Relation of pyramidal tract activity to force exerted during voluntary movement.

Optimal feedback control and the neural basis of volitional motor control.

P304

3763-3780

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

P31

scholarly article

P356

10.1152/JN.00482.2006

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

P407

P433

5

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

P478

97

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

P577

2007-02-28T00:00:00Z

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

P5875

6476250

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

P698

17329627

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