Induction of finite-state languages using second-order recurrent networks

Constructing deterministic finite-state automata in recurrent neural networks

Journal of the ACM (JACM)

Analysis of dynamical recognizers

Neural Computation

Rule Revision With Recurrent Neural Networks

IEEE Transactions on Knowledge and Data Engineering

Natural Language Grammatical Inference with Recurrent Neural Networks

IEEE Transactions on Knowledge and Data Engineering

Spiking neurons and the induction of finite state machines

Theoretical Computer Science - Natural computing

Finite-state computation in analog neural networks: steps towards biologically plausible models?

Emergent neural computational architectures based on neuroscience

Connectionist neuroimaging

Emergent neural computational architectures based on neuroscience

Automatic Adaptation of a Natural Language Interface to a Robotic System

IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence

Connectionist Neuroimaging

Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing

Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?

Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing

On the complexity of computing and learning with multiplicative neural networks

Neural Computation

Architectural bias in recurrent neural networks: fractal analysis

Neural Computation

A machine learning method for extracting symbolic knowledge from recurrent neural networks

Neural Computation

Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks)

Neural Computation

Spatiotemporal Connectionist Networks: A Taxonomy and Review

Neural Computation

Stable Encoding of Finite-State Machines in Discrete-Time Recurrent Neural Nets with Sigmoid Units

Neural Computation

Long Short-Term Memory

Neural Computation

The dynamics of discrete-time computation, with application to recurrent neural networks and finite state machine extraction

Neural Computation

Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants

Neural Computation

First-order recurrent neural networks and deterministic finite state automata

Neural Computation

Extracting symbolic knowledge from recurrent neural networks---A fuzzy logic approach

Fuzzy Sets and Systems

Evolving deterministic finite automata using cellular encoding

GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation

A Novel Connectionist Network for Solving Long Time-Lag Prediction Tasks

AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence

Encoding subcomponents in cooperative co-evolutionary recurrent neural networks

Neurocomputing