Skip to search formSkip to main contentSkip to account menu

Synaptic weight

In neuroscience and computer science, synaptic weight refers to the strength or amplitude of a connection between two nodes, corresponding in biology… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
The mean first passage time (MFPT) for a Brownian particle to reach a small target in cellular microdomains is a key parameter… 
2011
2011
A floor pen trial was conducted to determine the effect of high peroxide value fats on th e performance of broilers in an immune… 
2008
2008
The aim of this thesis was to study the effects of restricted and free suckling in comparison with non-suckling on production and… 
2008
2008
In this paper, the mosaic patterns of the two-dimensional cellular neural network (CNN) with symmetric feedback template are… 
2008
2008
A novel method of rule extraction from artificial neural network with optimized activation function is proposed. Weight-decay… 
1999
1999
Age determination of fish, from a population having a considerable variation in size at age, has been investigated using the… 
1998
1998
Determining the optimum amount of regularization to obtain the best generalization performance in feedforward neural networks is… 
1996
1996
Back Propagation and its variations are widely used as methods for training artificial neural networks. One such variation… 
1996
1996
The nutritional value of full-fat soyabean (FFSB) boiled for three time periods (30, 60, 90 min) was studied in a balanced…