Using multi-neuron population recordings for neural prosthetics.
about
Large-scale recording of neuronal ensemblesA 4-dimensional representation of antennal lobe output based on an ensemble of characterized projection neurons.Subspace projection approaches to classification and visualization of neural network-level encoding patternsElectronic bypass of spinal lesions: activation of lower motor neurons directly driven by cortical neural signalsStatistical analysis of large-scale neuronal recording data.The Neurobiological Basis of Cognition: Identification by Multi-Input, Multioutput Nonlinear Dynamic Modeling: A method is proposed for measuring and modeling human long-term memory formation by mathematical analysis and computer simulation of nerveNeuroengineering tools/applications for bidirectional interfaces, brain-computer interfaces, and neuroprosthetic implants - a review of recent progress.Prediction of rat behavior outcomes in memory tasks using functional connections among neuronsSingle units in the medial prefrontal cortex with anxiety-related firing patterns are preferentially influenced by ventral hippocampal activity.Ultra-sensitive Magnetic Microscopy with an Optically Pumped Magnetometer.Closing the loop for memory prosthesis: detecting the role of hippocampal neural ensembles using nonlinear models.A nonlinear model for hippocampal cognitive prosthesis: memory facilitation by hippocampal ensemble stimulation.Reprogramming movements: extraction of motor intentions from cortical ensemble activity when movement goals change.Techniques for extracting single-trial activity patterns from large-scale neural recordingsWhat we think before a voluntary movement.Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activityIdentification of a self-paced hitting task in freely moving rats based on adaptive spike detection from multi-unit M1 cortical signals.Classification of BMI control commands from rat's neural signals using extreme learning machine.Methods for estimating neural firing rates, and their application to brain-machine interfaces.Bayesian decoding using unsorted spikes in the rat hippocampus.Neural circuit flexibility in a small sensorimotor system.How to read neuron-dropping curves?Polymerization of the conducting polymer poly(3,4-ethylenedioxythiophene) (PEDOT) around living neural cells.How many neurons can we see with current spike sorting algorithms?Minimum requirements for accurate and efficient real-time on-chip spike sorting.Bridging multiple levels of exploration: towards a neuroengineering-based approach to physiological and pathological problems in neuroscienceNeural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegiaRecasting brain-machine interface design from a physical control system perspectiveA cognitive prosthesis for memory facilitation by closed-loop functional ensemble stimulation of hippocampal neurons in primate brain.Network plasticity in cortical assemblies.Hybrid Brains – Biology, Technology MergerImplantable Computing
P2860
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P2860
Using multi-neuron population recordings for neural prosthetics.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Using multi-neuron population recordings for neural prosthetics.
@ast
Using multi-neuron population recordings for neural prosthetics.
@en
type
label
Using multi-neuron population recordings for neural prosthetics.
@ast
Using multi-neuron population recordings for neural prosthetics.
@en
prefLabel
Using multi-neuron population recordings for neural prosthetics.
@ast
Using multi-neuron population recordings for neural prosthetics.
@en
P2860
P356
P1433
P1476
Using multi-neuron population recordings for neural prosthetics.
@en
P2093
John K Chapin
P2860
P2888
P304
P356
10.1038/NN1234
P407
P577
2004-05-01T00:00:00Z
P5875
P6179
1028993054