Programmable execution of multi-layered networks for automatic speech recognition
Communications of the ACM
Multilayer feedforward networks are universal approximators
Neural Networks
Using backpropagation with temporal windows to learn the dynamics of the CMU direct-drive arm II
Advances in neural information processing systems 1
Analysis of neural excitability and oscillations
Methods in neuronal modeling
Recursive distributed representations
Artificial Intelligence - On connectionist symbol processing
Approximation capabilities of multilayer feedforward networks
Neural Networks
The Tempo 2 algorithm: adjusting time-delays by supervised learning
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks
Machine Learning - Connectionist approaches to language learning
Distributed Representations, Simple Recurrent Networks, And Grammatical Structure
Machine Learning - Connectionist approaches to language learning
Learning the dynamic nature of speech with back-propagation for sequences
Pattern Recognition Letters - Special issue on artificial neural networks
Local feedback multilayered networks
Neural Computation
Binding hierarchies: a basis for dynamic perceptual grouping
Neural Computation
Original Contribution: Hamiltonian dynamics of neural networks
Neural Networks
Neural Networks
ACM SIGART Bulletin
A temporal connectionist approach to natural language
ACM SIGART Bulletin
The time dimension of neural network models
ACM SIGART Bulletin
On the computational power of neural nets
Journal of Computer and System Sciences
Constructing deterministic finite-state automata in recurrent neural networks
Journal of the ACM (JACM)
Networks of spiking neurons: the third generation of neural network models
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
RST: a connectionist architecture to deal with spatiotemporal relationships
Neural Computation
Connectionist Speech Recognition: A Hybrid Approach
Connectionist Speech Recognition: A Hybrid Approach
Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks
IEEE Transactions on Knowledge and Data Engineering
Neuro-Biological Bases for Spatio-Temporal Data Coding in Artificial Neural Networks
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Recurrent Neural Network Architectures: An Overview
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
Neural Networks for Processing Data Structures
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
An Introduction to Learning Structured Information
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
Neural Computation
Parallel activation of memories in an oscillatory neural network
Neural Computation
Finite state automata and simple recurrent networks
Neural Computation
A learning algorithm for continually running fully recurrent neural networks
Neural Computation
Lower bounds for the computational power of networks of spiking neurons
Neural Computation
δ-NARMA neural networks: a new approach to signal prediction
IEEE Transactions on Signal Processing
A general framework for adaptive processing of data structures
IEEE Transactions on Neural Networks
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