NeurIPS(NIPS) 1988 论文列表Neural Information Processing Systems, Denver, Colorado, USA, 1987. |
A Method for the Design of Stable Lateral Inhibition Networks that is Robust in the Presence of Circuit Parasitics.
Strategies for Teaching Layered Networks Classification Tasks.
Learning in Networks of Nondeterministic Adaptive Logic Elements.
Invariant Object Recognition Using a Distributed Associative Memory.
Synchronization in Neural Nets.
Neuromorphic Networks Based on Sparse Optical Orthogonal Codes.
Introduction to a System for Implementing Neural Net Connections on SIMD Architectures.
A 'Neural' Network that Learns to Play Backgammon.
Using Neural Networks to Improve Cochlear Implant Speech Perception.
A Neural-Network Solution to the Concentrator Assignment Problem.
Self-Organization of Associative Database and Its Applications.
A Novel Net that Learns Sequential Decision Process.
A Dynamical Approach to Temporal Pattern Processing.
Spatial Organization of Neural Networks: A Probabilistic Modeling Approach.
Analysis of Distributed Representation of Constituent Structure in Connectionist Systems.
A Computer Simulation of Cerebral Neocortex: Computational Capabilities of Nonlinear Neural Networks.
Time-Sequential Self-Organization of Hierarchical Neural Networks.
Discovering Structure from Motion in Monkey, Man and Machine.
Teaching Artificial Neural Systems to Drive: Manual Training Techniques for Autonomous Systems.
A Mean Field Theory of Layer IV of Visual Cortex and Its Application to Artificial Neural Networks.
Pattern Class Degeneracy in an Unrestricted Storage Density Memory.
An Adaptive and Heterodyne Filtering Procedure for the Imaging of Moving Objects.
Scaling Properties of Coarse-Coded Symbol Memories.
Learning by State Recurrence Detection.
Static and Dynamic Error Propagation Networks with Application to Speech Coding.
Learning a Color Algorithm from Examples.
Constrained Differential Optimization.
Generalization of Back propagation to Recurrent and Higher Order Neural Networks.
A Trellis-Structured Neural Network.
Phasor Neural Networks.
Bit-Serial Neural Networks.
Programmable Synaptic Chip for Electronic Neural Networks.
Stability Results for Neural Networks.
MURPHY: A Robot that Learns by Doing.
The Performance of Convex Set Projection Based Neural Networks.
Basins of Attraction for Electronic Neural Networks.
Microelectronic Implementations of Connectionist Neural Networks.
Connecting to the Past.
Reflexive Associative Memories.
Towards an Organizing Principle for a Layered Perceptual Network.
Optimization with Artificial Neural Network Systems: A Mapping Principle and a Comparison to Gradient Based Methods.
Spontaneous and Information-Triggered Segments of Series of Human Brain Electric Field Maps.
Distributed Neural Information Processing in the Vestibulo-Ocular System.
How Neural Nets Work.
Performance Measures for Associative Memories that Learn and Forget.
Computing Motion Using Resistive Networks.
Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models.
How the Catfish Tracks Its Prey: An Interactive 'Pipelined' Processing System May Direct Foraging via Reticulospinal Neurons.
An Optimization Network for Matrix Inversion.
Neural Net and Traditional Classifiers.
Experimental Demonstrations of Optical Neural Computers.
Schema for Motor Control Utilizing a Network Model of the Cerebellum.
Learning Representations by Recirculation.
Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals.
The Connectivity Analysis of Simple Association.
Partitioning of Sensory Data by a Cortical Network.
Probabilistic Characterization of Neural Model Computations.
Encoding Geometric Invariances in Higher-Order Neural Networks.
Temporal Patterns of Activity in Neural Networks.
Cycles: A Simulation Tool for Studying Cyclic Neural Networks.
The Hopfield Model with Multi-Level Neurons.
Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons.
On Tropistic Processing and Its Applications.
Hierarchical Learning Control - An Approach with Neuron-Like Associative Memories.
The Sigmoid Nonlinearity in Prepyriform Cortex.
High Order Neural Networks for Efficient Associative Memory Design.
'Ensemble' Boltzmann Units have Collective Computational Properties like those of Hopfield and Tank Neurons.
Network Generality, Training Required, and Precision Required.
High Density Associative Memories.
New Hardware for Massive Neural Networks.
Phase Transitions in Neural Networks.
The Capacity of the Kanerva Associative Memory is Exponential.
A Neural Network Classifier Based on Coding Theory.
Mathematical Analysis of Learning Behavior of Neuronal Models.
Presynaptic Neural Information Processing.
Speech Recognition Experiments with Perceptrons.
On the Power of Neural Networks for Solving Hard Problems.
Neural Network Implementation Approaches for the Connection Machine.
A Computer Simulation of Olfactory Cortex with Functional Implications for Storage and Retrieval of Olfactory Information.
Neural Networks for Template Matching: Application to Real-Time Classification of the Action Potentials of Real Neurons.
Optimal Neural Spike Classification.
Simulations Suggest Information Processing Roles for the Diverse Currents in Hippocampal Neurons.
Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems.
Centric Models of the Orientation Map in Primary Visual Cortex.
Supervised Learning of Probability Distributions by Neural Networks.
On Properties of Networks of Neuron-Like Elements.
An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification.
Learning on a General Network.
Stochastic Learning Networks and their Electronic Implementation.
Connectivity Versus Entropy.