Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
The final microstructure and resulting mechanical properties in the linepipe steels are predominantly determined by austenite… Expand
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
2013
2013
Advanced semiconductor processes are produced by very sophisticated and complex machines. The demand of higher precision for the… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
2012
2012
Electrocardiogram (ECG) is a recorded bio-elektrik activity of the heart that goes around the body and can be detected at some… Expand
Is this relevant?
2011
2011
The parameters of neuronal compartment models must be determined carefully in order to match experimental data. Optimization… Expand
Is this relevant?
2000
2000
Abstract We investigate the effects of cellular-level cholinergic neuromodulation on the physiological properties of a realistic… Expand
  • table 1
  • figure 1
  • figure 2
Is this relevant?
1998
1998
A wavelet domain, nonlinear inverse scattering approach is presented for imaging subsurface defects in a material sample, given… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
1995
1995
The analysis of human cognitive processes constitutes a great challenge for scientists of all research fields. Better methods in… Expand
  • figure 1
  • figure 5
  • table 1
  • table 2
  • table 3
Is this relevant?
Highly Cited
1989
Highly Cited
1989
Abstract Machine learning is an area where both symbolic and neural approaches to artificial intelligence have been heavily… Expand
Is this relevant?