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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.
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… 
2016
2016
Effective Connectivity-Based Neural Decoding: A Causal Interaction-Driven Approach
We propose a geometric model-free causality measurebased on multivariate delay embedding that can efficiently detect linear and… 
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… 
2014
2014
EEG analysis of gait movement preparation in the normal state and in the abnormal state of Parkinsonʼs disease with freezing of gait
The cortical control of gait is an important aspect of locomotive function in healthy and diseased states. Here we used… 
2014
2014
Neural Decoding
Sensory Stimuli Neural Responses neural system Decoding: given a neural response, what was the stimulus conditional probability! 
2014
2014
Brain state dependency in the auditory thalamocortical system: mutual information and Bayesian decoding
2010
2010
Nonsmooth Formulation of the Support Vector Machine for a Neural Decoding Problem
This paper formulates a generalized classification algorithm with an application to classifying (or `decoding') neural activity… 
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… 
2005
2005
Bayesian Decoding for Improved Random Access in Compressed Video Streams
A channel change in digital television is usually conducted at a reference frame, which are sent at certain intervals. A higher… 
2000
2000
NONLINEAR SPECTRAL ASSOCIATIVE MEMORIES: NEURAL ENCODERS AND DECODERS FOR DIGITAL COMMUNICATIONS
Nonlinear spectral associative memories (SAMs) are quantized frequency domain formulations of recurrent associative memories in… 
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