E-Books durchsuchen

4th Neural Computation and Psychology Workshop, London, 9–11 April 1997 [1998]

1
Some Advantages of Localist over Distributed Representations
2
Distributed Representations in Radial Basis Function Networks
3
A unified framework for connectionist models
5
A Generative Learning Algorithm that uses Structural Knowledge of the Input Domain yields a better Multi-layer Perceptron
6
Improving Learning and Generalization in Neural Networks through the Acquisition of Multiple Related Functions
7
Objective Functions for Topography: A Comparison of Optimal Maps
8
Testing Principal Component Representations for Faces
9
Selection for Object Identification: Modelling Emergent Attentional Processes in Normality and Pathology
10
Extracting Features from the Short-term Time Structure of Cochlear Filtered Sound
11
Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments
12
Models of Coupled Anterior Working Memories for Frontal Tasks
13
A Neurobiologically Inspired Model of Working Memory Based on Neuronal Synchrony and Rythmicity
14
Neural Networks and the Emergence of Consciousness
15
Selective memory loss in aphasics: An insight from pseudo-recurrent connectionist networks
16
Extracting Semantic Representations from Large Text Corpora
17
Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionist Network
18
Semantic Representation and Priming in a Self-organizing Lexicon
19
Distributed representations and the bilingual lexicon: One store or two?
20
Recognising Embedded Words in Connected Speech: Context and Competition
21
Dynamic Representation of Structural Constraints in Models of Serial Behaviour
22
Representations of Serial Order
23
To Repeat or Not to Repeat: The Time Course of Response Suppression in Sequential Behaviour
24
A Localist Implementation of the Primacy Model of Immediate Serial Recall
25
Connectionist Symbol Processing with Causal Representations
40
Separability is a Learner’s Best Friend
Feedback