Neural networks are models of the brain and have been used within Artificial Intelligence to provide alternative explanations to the symbolic explanations of cognition in which one assumes that an intelligent system has certain explicit representations of some aspect of the world and uses these in intelligent behavior. Obviously, if neural networks are indeed good models of the brain, and give a satisfactory account of cognition, then they could be a valuable tool to neuroscientists. This article gives a brief overview of the various neural network models, and critically reviews their status as models of the brain and of cognition
Artificial neural networks are 'biologically' inspired networks.They have the ability to learn from ...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Neural networks are models of the brain and have been used within Artificial Intelligence to provide...
In this chapter we give a brief overview of the biological and technical background of artificial ne...
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, ...
The aim of this book is to describe the types of computation that can be performed by biologically p...
Present knowledge of brain mechanisms is mainly based on anatomical and physiological studies. Such ...
This thesis is concerned with the computational modelling and simulation of physiological structures...
DAL SITO DELL'EDITORE: How can we make better sense of animal behavior by using what we know abou...
DAL SITO DELL'EDITORE: How can we make better sense of animal behavior by using what we know abou...
DAL SITO DELL'EDITORE: How can we make better sense of animal behavior by using what we know about ...
A neural network is a general term for machine learning tools that emulate how neurons work in our b...
This thesis explores the use of artificial neural networks for modelling cognitive processes. It pre...
Artificial neural networks (ANNs) were originally conceived of as an approach to model mental or beh...
Artificial neural networks are 'biologically' inspired networks.They have the ability to learn from ...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Neural networks are models of the brain and have been used within Artificial Intelligence to provide...
In this chapter we give a brief overview of the biological and technical background of artificial ne...
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, ...
The aim of this book is to describe the types of computation that can be performed by biologically p...
Present knowledge of brain mechanisms is mainly based on anatomical and physiological studies. Such ...
This thesis is concerned with the computational modelling and simulation of physiological structures...
DAL SITO DELL'EDITORE: How can we make better sense of animal behavior by using what we know abou...
DAL SITO DELL'EDITORE: How can we make better sense of animal behavior by using what we know abou...
DAL SITO DELL'EDITORE: How can we make better sense of animal behavior by using what we know about ...
A neural network is a general term for machine learning tools that emulate how neurons work in our b...
This thesis explores the use of artificial neural networks for modelling cognitive processes. It pre...
Artificial neural networks (ANNs) were originally conceived of as an approach to model mental or beh...
Artificial neural networks are 'biologically' inspired networks.They have the ability to learn from ...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...