Computer modeling of feelings and emotions: a quantitative neural network model of the feeling-of-knowing

06/03/2002
by   Petro M. Gopych, et al.
0

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 neural network human memory model which admits distinct description of conscious and unconscious mental processes in a time dependent manner. As an example, proposed model is applied to quantitative description of the feeling of knowing.

READ FULL TEXT
research
04/04/2002

The tip-of-the-tongue phenomenon: Irrelevant neural network localization or disruption of its interneuron links ?

On the base of recently proposed three-stage quantitative neural network...
research
06/28/2021

PhysiNet: A Combination of Physics-based Model and Neural Network Model for Digital Twins

As the real-time digital counterpart of a physical system or process, di...
research
03/19/2003

A Neural Network Assembly Memory Model with Maximum-Likelihood Recall and Recognition Properties

It has been shown that a neural network model recently proposed to descr...
research
07/12/2023

Dynamic Prediction using Time-Dependent Cox Survival Neural Network

The target of dynamic prediction is to provide individualized risk predi...
research
06/25/2014

A Quantitative Neural Coding Model of Sensory Memory

The coding mechanism of sensory memory on the neuron scale is one of the...
research
09/21/2003

A Neural Network Assembly Memory Model Based on an Optimal Binary Signal Detection Theory

A ternary/binary data coding algorithm and conditions under which Hopfie...
research
12/22/2000

Creativity and Delusions: A Neurocomputational Approach

Thinking is one of the most interesting mental processes. Its complexity...

Please sign up or login with your details

Forgot password? Click here to reset