scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1007413889 |
P356 | DOI | 10.1186/2193-1801-2-662 |
P932 | PMC publication ID | 3866377 |
P698 | PubMed publication ID | 24353979 |
P5875 | ResearchGate publication ID | 259388563 |
P2093 | author name string | Kavous Salehzadeh Niksirat | |
Mitra Taghizadeh-Sarabi | |||
Sohrab Khanmohammadi | |||
Mohammadali Nazari | |||
P2860 | cites work | Creating a nonparametric brain-computer interface with neural time-series prediction preprocessing. | Q51898183 |
Support vector channel selection in BCI. | Q51940214 | ||
Automatic differentiation of multichannel EEG signals. | Q52086671 | ||
Image restoration using a modified Hopfield network. | Q52427765 | ||
Frequency component selection for an EEG-based brain to computer interface. | Q53920149 | ||
Changes in EEG alpha power during simulated driving: a demonstration | Q73835507 | ||
New insights into name category-related effects: is the Age of Acquisition a possible factor? | Q21203811 | ||
Comparison of linear, nonlinear, and feature selection methods for EEG signal classification | Q30482518 | ||
The emergence of semantic categorization in early visual processing: ERP indices of animal vs. artifact recognition. | Q30499063 | ||
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis | Q31088225 | ||
Feature extraction and recognition of epileptiform activity in EEG by combining PCA with ApEn | Q34054470 | ||
A semi-supervised support vector machine approach for parameter setting in motor imagery-based brain computer interfaces | Q34054516 | ||
Single tap identification for fast BCI control | Q34608764 | ||
Brain-computer interfaces for communication and control | Q34669759 | ||
Selecting EEG components using time series analysis in brain death diagnosis | Q35355394 | ||
Neurons with graded response have collective computational properties like those of two-state neurons | Q36261068 | ||
Functional representation of living and nonliving domains across the cerebral hemispheres: a combined event-related potential/transcranial magnetic stimulation study | Q38389962 | ||
Conceptual flexibility in the human brain: dynamic recruitment of semantic maps from visual, motor, and motion-related areas | Q38391443 | ||
Electrophysiological evidence for a natural/artifactual dissociation | Q38410358 | ||
Perceptual and semantic sources of category-specific effects: event-related potentials during picture and word categorization | Q38441172 | ||
Nouns and verbs in the intact brain: evidence from event-related potentials and high-frequency cortical responses | Q38448483 | ||
Indicators of sleepiness in an ambulatory EEG study of night driving. | Q40162403 | ||
Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring. | Q45964996 | ||
Probabilistic methods in BCI research | Q47714653 | ||
EEG-based assessment of driver cognitive responses in a dynamic virtual-reality driving environment | Q48119153 | ||
Monitoring driver's alertness based on the driving performance estimation and the EEG power spectrum analysis | Q48283267 | ||
EEG and HRV markers of sleepiness and loss of control during car driving | Q48411951 | ||
A new brain-computer interface design using fuzzy ARTMAP. | Q48418813 | ||
A time-series prediction approach for feature extraction in a brain-computer interface | Q48680768 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P304 | page(s) | 662 | |
P577 | publication date | 2013-12-10 | |
P1433 | published in | SpringerPlus | Q24055190 |
P1476 | title | EEG-based analysis of human driving performance in turning left and right using Hopfield neural network | |
P478 | volume | 2 |
Q92699699 | Driving Style Recognition Based on Electroencephalography Data From a Simulated Driving Experiment | cites work | P2860 |
Search more.