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Neural backpropagation

Known as: Action Potential Backpropagation 
Neural backpropagation is the phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon (normal… 
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Related topics

Related topics

7 relations
Action potentialArtificial neural networkBackpropagationElectroencephalography

Broader (1)

Computational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Neural Backpropagation System for the Study of Obesity in Childhood
This paper presents the development of a nutritional system using Backpropagation neural network, that is able to provide a clear… 
2015
2015
CA1 Pyramidal Neuron Dendrites Dichotomy of Action-Potential Backpropagation in
2013
2013
PREDICTION OF MARTENSITE FRACTION OF MICROALLOYED STEEL BY ARTIFICIAL NEURAL NETWORKS
The final microstructure and resulting mechanical properties in the linepipe steels are predominantly determined by austenite… 
2013
2013
Applying Artificial Neural Network to Predict Semiconductor Machine Outliers
Advanced semiconductor processes are produced by very sophisticated and complex machines. The demand of higher precision for the… 
2012
2012
EKSTRAKSI CIRI DAN KLASIFIKASI ISYARAT ECG BERBASIS TRANSFORMASI WAVELET DAN JARINGAN NEURAL BACKPROPAGATION
Electrocardiogram (ECG) is a recorded bio-elektrik activity of the heart that goes around the body and can be detected at some… 
2002
2002
Erratum: Dichotomy of action-potential backpropagation in CA1 pyramidal neuron dendrites (Journal of Neurophysiology (December 2001) 86 (2998-3010))
2000
2000
Cholinergic neuromodulation of an anatomically reconstructed hippocampal CA3 pyramidal cell
1998
1998
Nonlinear inverse scattering methods for thermal-wave slice tomography: a wavelet domain approach
A wavelet domain, nonlinear inverse scattering approach is presented for imaging subsurface defects in a material sample, given… 
1995
1995
Classification of human cognitive processes by the use of an improved neural backpropagation network
The analysis of human cognitive processes constitutes a great challenge for scientists of all research fields. Better methods in… 
Highly Cited
1989
Highly Cited
1989
An Approach to Combining Explanation-based and Neural Learning Algorithms
Abstract Machine learning is an area where both symbolic and neural approaches to artificial intelligence have been heavily… 
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