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Neural decoding
Local Field Potential Decoding of the Onset and Intensity of Acute Pain In
Improving Whole-Brain Neural Decoding of Fmri with Domain Adaptation
Deep Learning Approaches for Neural Decoding: from Cnns to Lstms and Spikes to Fmri
Neural Decoding of Collective Wisdom with Multi-Brain Computing
Provably Optimal Design of a Brain-Computer Interface Yin Zhang
Neural Networks for Efficient Bayesian Decoding of Natural Images From
Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: a Review
Decoding Dynamic Brain Patterns from Evoked Responses: a Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data
Neural Networks for Efficient Bayesian Decoding Of
Neural Decoding for Motor and Communication Prostheses 7
Decoding the Neural Correlates of Consciousness Rimona S
Visual Encoding and Decoding of the Human Brain Based on Shared Features
Neural Decoding of Cursor Motion Using a Kalman Filter
SHORT COURSE 2 Neuroscience 2016 Data Science and Data Skills for Neuroscientists Organizers: Konrad P
Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning
Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern 2 Analysis in Cognitive Neuroscience 3 J
Decoding the Charitable Brain: Empathy, Perspective Taking, and Attention Shifts Differentially Predict Altruistic Giving
BCI Decoder Performance Comparison of an LSTM Recurrent Neural Network and a Kalman Filter in Retrospective Simulation
Top View
Machine Learning for Neural Decoding
High-Performance Brain-To-Text Communication Via Imagined Handwriting 2 3 Francis R
Neural Decoding
Neural Decoding of Hand Motion Using a Linear State-Space Model with Hidden States Wei Wu, Jayant E
Tree-Structured Neural Decoding
Identification of Cytokine-Specific Sensory Neural Signals by Decoding
Using Population Decoding to Analyze Neural Data
Closed Loop Enhancement and Neural Decoding of Human Cognitive Control
Bayesian Decoding of Neural Spike Trains
1 Neural Decoding of Categorical Features in Naturalistic Social
Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging
NEURAL ENCODING Introduction There Are Approximately 1000 Billion Neurons in a Human Body, and Each One of Them Are Essential To
Rapid Neural Discrimination of Communicative Gestures
Adaptive Real-Time Decoding of Brain Signals for Long-Term Control of a Neuro-Prosthetic Device Tushar Ashok Dharampal Marquette University
Combining Decoding and Encoding in Brain-Computer Interfaces
A High-Performance Neural Prosthesis Enabled by Control Algorithm Design
Poster List for the 2021 BRAIN Initiative Investigators Meeting
Decoding Hidden Cognitive States from Behavior and Physiology Using a Bayesian Approach
Decoding of Conceptual Representations
Ihuman Neural Interfaces Report
Deep Learning Approaches for Neural Decoding Across Architectures and Recording Modalities∗
Real-Time Brain-Machine Interface Architectures: Neural Decoding
Neural Decoding with Kernel-Based Metric Learning
Neural Decoding and Brain-Computer Interfaces”
Neural Representation and the Limits of Multivariate Pattern Analysis In
Rational Thoughts in Neural Codes
A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields
Behavenet: Nonlinear Embedding and Bayesian Neural Decoding of Behavioral Videos
Machine Learning for Neural Decoding
An Introductory Tutorial on Brain–Computer Interfaces and Their Applications
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains
Neuroscience: Dream Stream Decoded
Machine Interfaces Robust to Future Neural Variability
Encoding and Decoding of Pain Relief in the Human Brain
Machine Learning for Neural Decoding
BOLD Decoding of Individual Pain Anticipation Biases During Uncertainty
Reconstructing Perceived Faces from Brain Activations with Deep Adversarial Neural Decoding
Neural Decoding of Movements: from Linear to Nonlinear Trajectory Models
Robustness of Neuroprosthetic Decoding Algorithms
Brain Decoding with Deep Neural Network Features