7 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
A Neural Network Assembly Memory Model Based on an Optimal Binary Signal Detection Theory
Petro M. Gopych
A ternary/binary data coding algorithm and conditions under which Hopfield networks implement optimal convolutional or Hamming decoding algorithms has been described. Using the cod…
ROC Curves Within the Framework of Neural Network Assembly Memory Model: Some Analytic Results
Petro M. Gopych
On the basis of convolutional (Hamming) version of recent Neural Network Assembly Memory Model (NNAMM) for intact two-layer autoassociative Hopfield network optimal receiver operat…
A Neural Network Assembly Memory Model with Maximum-Likelihood Recall and Recognition Properties
Petro M. Gopych
It has been shown that a neural network model recently proposed to describe basic memory performance is based on a ternary/binary coding/decoding algorithm which leads to a new neu…
Computer modeling of feelings and emotions: a quantitative neural network model of the feeling-of-knowing
Petro M. Gopych
The first quantitative neural network model of feelings and emotions is proposed on the base of available data on their neuroscience and evolutionary biology nature, and on a neura…