Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by David Servan-Schreiber
Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks
Machine Learning
Artificial Intelligence
Software
Related publications
Adaptive State Representation and Estimation Using Recurrent Connectionist Networks
Temporal-Kernel Recurrent Neural Networks
Neural Networks
Artificial Intelligence
Cognitive Neuroscience
Deep Recurrent Neural Network Based Monaural Speech Separation Using Recurrent Temporal Restricted Boltzmann Machines
State-Dependent Computation Using Coupled Recurrent Networks
Neural Computation
Arts
Cognitive Neuroscience
Humanities
Identities of Graded Simple Algebras
Linear and Multilinear Algebra
Number Theory
Algebra
Recurrent Spatio-Temporal Modeling of Check-Ins in Location-Based Social Networks
PLoS ONE
Multidisciplinary
Constructive Learning of Recurrent Neural Networks: Limitations of Recurrent Cascade Correlation and a Simple Solution
IEEE Transactions on Neural Networks
Equivalence in Knowledge Representation: Automata, Recurrent Neural Networks, and Dynamical Fuzzy Systems
Proceedings of the IEEE
Electronic Engineering
Electrical
Computer Science
The Contingencies of State Formation in Eastern Inner Asia
Asian Perspectives
Evolution
Ecology
Archeology
Systematics
Anthropology
Behavior
History