Add to ORKGThe high level abstraction is developed layer after layer. This abstraction and generalization are important in language evolution and the study of mental processes. This chapter presents a self-organizing neural network based on cascading a series of layered perceptrons that resemble the development of the deep layers of the brain. This neural network is name
This paper presents a novel self-organising neural network. It has been developed for use as a simpl...
This paper demonstrates how associative neural networks as standard models for Hebbian cell assembli...
Nowadays we are living in the age of computers, and we are systematically making our ...
We present a framework for the self-organized formation of high level learning by a statistical prep...
An important phenomenon seen in many areas of biological brains and recently in deep learning archit...
Artificial intelligence and learning is a growing field. There are many ways of making a computer pr...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
We present a framework for the self-organized formation of high level learning by a statistical prep...
The Artificial Grammar Learning (AGL) paradigm provides a means to study the nature of syntactic pro...
This paper presents a novel self-organising neural network. It has been developed for use as a simpl...
Hammer B, Micheli a., Sperduti A. A general framework for self-organizing structure processing neura...
Artificial neural networks have increased in popularity in the recent few years especially with its ...
In the processes of continues functional differentiation the contemporary society increasingly displ...
This paper argues that if phonological and phonetic phenomena found in language data and in experime...
The multimodal self-organizing network (MMSON), an artificial neural network architecture carrying o...
This paper presents a novel self-organising neural network. It has been developed for use as a simpl...
This paper demonstrates how associative neural networks as standard models for Hebbian cell assembli...
Nowadays we are living in the age of computers, and we are systematically making our ...
We present a framework for the self-organized formation of high level learning by a statistical prep...
An important phenomenon seen in many areas of biological brains and recently in deep learning archit...
Artificial intelligence and learning is a growing field. There are many ways of making a computer pr...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
We present a framework for the self-organized formation of high level learning by a statistical prep...
The Artificial Grammar Learning (AGL) paradigm provides a means to study the nature of syntactic pro...
This paper presents a novel self-organising neural network. It has been developed for use as a simpl...
Hammer B, Micheli a., Sperduti A. A general framework for self-organizing structure processing neura...
Artificial neural networks have increased in popularity in the recent few years especially with its ...
In the processes of continues functional differentiation the contemporary society increasingly displ...
This paper argues that if phonological and phonetic phenomena found in language data and in experime...
The multimodal self-organizing network (MMSON), an artificial neural network architecture carrying o...
This paper presents a novel self-organising neural network. It has been developed for use as a simpl...
This paper demonstrates how associative neural networks as standard models for Hebbian cell assembli...
Nowadays we are living in the age of computers, and we are systematically making our ...