Add to ORKGMassively parallel (connectionist) computational models are playing an increasingly important role in cognitive science. Establishing the behavioral correctness of a connectionist model is exceedingly difficult, as it is with any complex system. For a restricted class of models, one can define an analog to the energy function of physics and this can be used to help prove properties of a network. This paper explores energy and other techniques for establishing that a network meets its specifications. The treatment is elementary, computational, and focuses on specific examples. No free lunch is offered
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
constitute learned, internal representations that mediate between inputs and outputs. In this way, t...
Connectionist techniques are increasingly being used to model cognitive function with a view to prov...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
Although connectionism is advocated by its proponents as an alternative to the classical computation...
The inference capabilities of humans suggest that they might be using algorithms with high degrees o...
Connectionist modeis, commonly referred to as neural networks, are computing models in which large n...
Computational models are useful tools for exploring the nature of human cognitive processes. In part...
Contains fulltext : 72913.pdf (publisher's version ) (Closed access)Leech, Maresch...
The employment of a particular class of computer programs known as "connectionist networks" to model...
Connectionism is the theory that sees brain in terms of neural or parallel distributed processing ne...
Models of psychological and cognitive phenomena that are based on connectionist processing have rece...
This paper explores the question of whether connectionist models of cognition should be considered t...
Connectionist representations are mappings between elements in the problem domain and vectors of act...
The cerebral cortex is a rich and diverse structure that is the basis of intelligent behavior. One o...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
constitute learned, internal representations that mediate between inputs and outputs. In this way, t...
Connectionist techniques are increasingly being used to model cognitive function with a view to prov...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
Although connectionism is advocated by its proponents as an alternative to the classical computation...
The inference capabilities of humans suggest that they might be using algorithms with high degrees o...
Connectionist modeis, commonly referred to as neural networks, are computing models in which large n...
Computational models are useful tools for exploring the nature of human cognitive processes. In part...
Contains fulltext : 72913.pdf (publisher's version ) (Closed access)Leech, Maresch...
The employment of a particular class of computer programs known as "connectionist networks" to model...
Connectionism is the theory that sees brain in terms of neural or parallel distributed processing ne...
Models of psychological and cognitive phenomena that are based on connectionist processing have rece...
This paper explores the question of whether connectionist models of cognition should be considered t...
Connectionist representations are mappings between elements in the problem domain and vectors of act...
The cerebral cortex is a rich and diverse structure that is the basis of intelligent behavior. One o...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
constitute learned, internal representations that mediate between inputs and outputs. In this way, t...
Connectionist techniques are increasingly being used to model cognitive function with a view to prov...