Keywords: مرتب کردن با عنکبوت; Spike sorting; Feature extraction; Dimensionality reduction; Discriminant analysis;
مقالات ISI مرتب کردن با عنکبوت (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: مرتب کردن با عنکبوت; Massively parallel signal processing; Neural signal processing; Spike detection; Spike sorting;
Keywords: مرتب کردن با عنکبوت; Spike sorting; Temporally synchronous spikes; Neural activity analysis;
Keywords: مرتب کردن با عنکبوت; Spike sorting; Mutual information; Clustering; Single neuron recording; Signal detection;
Keywords: مرتب کردن با عنکبوت; Electrophysiology; Signal processing; Spike sorting; Template matching; Multi-electrode array; Microelectrode array;
Keywords: مرتب کردن با عنکبوت; Neuronal network; Microelectrode array; Burst detection; Spike waveform; Spike sorting; Electrophysiological signal analysis;
Keywords: مرتب کردن با عنکبوت; Validation; Automatic; Spike sorting; Algorithms; Stability;
Keywords: مرتب کردن با عنکبوت; Spike sorting; Extracellular recording; Microelectrode array; MEA; Convolutive independent component analysis; Unsupervised learning;
Keywords: مرتب کردن با عنکبوت; Velocity selective recording; VSR; Spike sorting; ENG; Velocity spectral density;
Keywords: مرتب کردن با عنکبوت; Feature extraction; Dimensionality reduction; Spike detection; Spike sorting;
Keywords: مرتب کردن با عنکبوت; Tetrode; Insect; Hearing; Brain; Spike sorting; Spike collisions;
Keywords: مرتب کردن با عنکبوت; Spike sorting; Extracellular recordings; Modeling; On-chip applications; Multielectrode recordings;
Keywords: مرتب کردن با عنکبوت; Spike sorting; Diffusion maps; Silhouette statistics; Gap statistics; k-Means clustering; Mean shift clustering
Keywords: مرتب کردن با عنکبوت; Spike sorting; Bayesian classification; Non-parametric; Non-stationarity; Kernel density estimation;
Keywords: مرتب کردن با عنکبوت; Spike sorting; Action potential; Neural spike identification; Clustering; Spike detection; Multi-electrode;
Keywords: مرتب کردن با عنکبوت; Spike sorting; Feature extraction; Locality preserving projection; Landmark-based spectral clustering; Gap statistics; Wavelet transformation; Superparamagnetic clustering;
Keywords: مرتب کردن با عنکبوت; Spike sorting; Extracellular recordings; Real-time; On-line; On-chip; BMIs; Template matching
Keywords: مرتب کردن با عنکبوت; Granger causality index; Spike sorting; Vector autoregressive model;
Clinical NeuroscienceReprint of “Non-causal spike filtering improves decoding of movement intention for intracortical BCIs”
Keywords: مرتب کردن با عنکبوت; Spike sorting; Neural decoding; Threshold crossing; Non-causal filter; Brain-computer interface; Microelectrode array;
Wavelet methodology to improve single unit isolation in primary motor cortex cells
Keywords: مرتب کردن با عنکبوت; Wavelet transform; Statistical thresholding; Spike sorting; Single units; Principal component analysis; Neuronal cell isolation
ViSAPy: A Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms
Keywords: مرتب کردن با عنکبوت; Spike sorting; Methods validation; Benchmark data; Extracellular potential; Multicompartment model; Open-source software;
Clinical NeuroscienceNon-causal spike filtering improves decoding of movement intention for intracortical BCIs
Keywords: مرتب کردن با عنکبوت; Spike sorting; Neural decoding; Threshold crossing; Non-causal filter; Brain-computer interface; Microelectrode array;
Hierarchical Adaptive Means (HAM) clustering for hardware-efficient, unsupervised and real-time spike sorting
Keywords: مرتب کردن با عنکبوت; Clustering; Spike sorting; Realtime; Hardware implementable; Streaming; Brain machine interface;
Computational NeuroscienceFeature extraction using first and second derivative extrema (FSDE) for real-time and hardware-efficient spike sorting
Keywords: مرتب کردن با عنکبوت; Feature extraction; Spike sorting; Derivatives; Hardware implementable;
An FPGA-based platform for accelerated offline spike sorting
Keywords: مرتب کردن با عنکبوت; Spike sorting; Hardware acceleration; FPGA;
Efficient sequential Bayesian inference method for real-time detection and sorting of overlapped neural spikes
Keywords: مرتب کردن با عنکبوت; Spike sorting; Multi-unit recording; Real-time processing; Sequential Bayesian inference; Template matching; Neural signal processing
Decoding acupuncture electrical signals in spinal dorsal root ganglion
Keywords: مرتب کردن با عنکبوت; Acupuncture; Zusanli; Spike sorting; Encoding; Decoding
Unsupervised feature selection by kernel density estimation in wavelet-based spike sorting
Keywords: مرتب کردن با عنکبوت; Spike sorting; Wavelet transform; Unsupervised feature selection; Kernel density estimation
Performance comparison of extracellular spike sorting algorithms for single-channel recordings
Keywords: مرتب کردن با عنکبوت; Spike sorting; Action potential; WaveClus; OSort; MClust; KlustaKwik; Mutual information; Micro-recording; Neuronal activity
Computational NeuroscienceA novel automated spike sorting algorithm with adaptable feature extraction
Keywords: مرتب کردن با عنکبوت; Spike sorting; Microelectrode array; Neuron; Action potential; Biosensor;
Basic NeuroscienceRecording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection
Keywords: مرتب کردن با عنکبوت; Extracellular recording; Microelectrode arrays; CMOS; Retina; Spike sorting; Light stimulation;
Computational NeuroscienceComputationally efficient simulation of extracellular recordings with multielectrode arrays
Keywords: مرتب کردن با عنکبوت; Extracellular recordings; Multielectrode arrays; Electrode movements simulation; NEURON; Spike sorting; Spike detection;
NeuroQuest: A comprehensive analysis tool for extracellular neural ensemble recordings
Keywords: مرتب کردن با عنکبوت; Neural data analysis; Neural signal processing; Spike train analysis; Spike detection; Spike sorting
Spike sorting based on radial basis function network with overlap decomposition
Keywords: مرتب کردن با عنکبوت; Spike sorting; Overlapping spikes; Overlap decomposition; Radial basis function (RBF)
Fuzzy logic-based spike sorting system
Keywords: مرتب کردن با عنکبوت; Fuzzy logic; Real-time spike processing; Shift invariance; Spike sorting
Kalman filter mixture model for spike sorting of non-stationary data
Keywords: مرتب کردن با عنکبوت; Spike sorting; Non-stationarity; Kalman filter; Hidden Markov model; Mixture model; EM algorithm;
Neural spike sorting using mathematical morphology, multiwavelets transform and hierarchical clustering
Keywords: مرتب کردن با عنکبوت; Spike sorting; Mathematical morphology; Multiwavelets transform; Hierarchical clustering; Outlier removal process
NASS: An empirical approach to spike sorting with overlap resolution based on a hybrid noise-assisted methodology
Keywords: مرتب کردن با عنکبوت; Spike sorting; ISOMAP; Extreme Learning Machine; Semi-supervised data learning;
What is the real shape of extracellular spikes?
Keywords: مرتب کردن با عنکبوت; Spikes; Spike detection; Spike sorting; Filtering; Single cell recordings
Realistic simulation of extracellular recordings
Keywords: مرتب کردن با عنکبوت; Simulations; Spike detection; Spike sorting; Extracellular recordings;
Neural signal classification using a simplified feature set with nonparametric clustering
Keywords: مرتب کردن با عنکبوت; Spike sorting; Spike feature extraction; Clustering; Action potential
A new action potential classifier using 3-Gaussian model fitting
Keywords: مرتب کردن با عنکبوت; Spike sorting; Action potential classification; 3-Gaussian model
Wavelet filtering before spike detection preserves waveform shape and enhances single-unit discrimination
Keywords: مرتب کردن با عنکبوت; Wavelets; Filtering; Spike detection; Spike sorting; Clustering; Extracellular recording
On the use of wavelet denoising and spike sorting techniques to process electroneurographic signals recorded using intraneural electrodes
Keywords: مرتب کردن با عنکبوت; ENG signals; Spike sorting; Neuroprostheses; Intraneural interfaces; Bionics; Bio-robotics; Neuro-robotics; Cybernetic prostheses;
A nonparametric Bayesian alternative to spike sorting
Keywords: مرتب کردن با عنکبوت; Spike sorting; Nonparametric Bayesian methods; Dirichlet process mixture models
Performance evaluation of PCA-based spike sorting algorithms
Keywords: مرتب کردن با عنکبوت; Spike sorting; PCA; Clustering; Noise; Single-electrode extracellular recordings
A simple method for efficient spike detection in multiunit recordings
Keywords: مرتب کردن با عنکبوت; Extracellular recordings; Multiunit recordings; Multichannel recordings; Brain machine interface; Prosthetic devices; Spike detection; Spike sorting
A tool for synthesizing spike trains with realistic interference
Keywords: مرتب کردن با عنکبوت; Spike detection; Spike sorting; Synthetic data
Automated optimal detection and classification of neural action potentials in extra-cellular recordings
Keywords: مرتب کردن با عنکبوت; Spike sorting; Template matching; Multi-unit recording; Neurophysiology;
Quantifying the isolation quality of extracellularly recorded action potentials
Keywords: مرتب کردن با عنکبوت; Spike sorting; Multi-unit recording; Signal detection;