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Neural decoding

Neural decoding is a neuroscience-related field concerned with the reconstruction of sensory and other stimuli from information that has already been… 
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Related topics

Related topics

19 relations
Action potentialAgent-based modelEfficient coding hypothesisFeedforward neural network

Broader (2)

Computational neuroscienceNeural coding

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
The AFRL WMT19 Systems: Old Favorites and New Tricks
This paper describes the Air Force Research Laboratory (AFRL) machine translation systems and the improvements that were… 
2017
2017
Deep adversarial neural decoding
Here, we present a novel approach to solve the problem of reconstructing perceived stimuli from brain responses by combining… 
2015
2015
Analysis of fMRI data based on sparsity of source components in signal dictionary
2015
2015
EEG-based neural decoding of Intelligence Questions
Decoding mental processes in single trials is one of the prerequisites for tailoring learning paradigms, which aim at improving… 
2014
2014
Neural decoding using a nonlinear generative model for brain-computer interface
Kalman filters have been used to decode neural signals and estimate hand kinematics in many studies. However, most prior work… 
2010
2010
Continuous Neural Decoding Method Based on General Regression Neural Network
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication… 
2010
2010
Improved FPGA implementation of Probabilistic Neural Network for neural decoding
Probabilistic Neural Network has been considered as providing superior performance for neural decoding. However, the huge… 
2010
2010
Cluster-Based Algorithm for ROI Analysis and Cognitive State Decoding Using Single-Trial Source MEG Data
We present a cluster-based decoding algorithm for discovering regions of interest (ROIs) from EEG/MEG data in source space (or… 
Review
2010
Review
2010
Stochastic Models for Multivariate Neural Point Processes: Collective Dynamics and Neural Decoding
This chapter reviews a stochastic point process framework for the modeling, analysis and decoding of neuronal ensembles. The… 
2008
2008
Neuronal Spike Sorting Based on 2-Stage RBF Networks
In this paper, 2-stage Radial Basis Function (RBF) network method is used for neural spike sorting. Firstly, raw signals are… 
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