R. Erichsen

发表

Physica a Model Architecture for Associative Memory in a Neural Network of Spiking Neurons

Leonardo Gregory Brunnet, Everton J. Agnes, R. Erichsen, 2022 .

Strategies to associate memories by unsupervised learning in neural networks

Beatriz E. P. Mizusaki, Leonardo Gregory Brunnet, Everton J. Agnes, 2013 .

A layered neural network with three-state neurons optimizing the mutual information

R. Erichsen, Jr., D. Bolle, 2003, cond-mat/0305587.

Spike timing analysis in neural networks with unsupervised synaptic plasticity

Beatriz E. P. Mizusaki, Leonardo Gregory Brunnet, Everton J. Agnes, 2013 .

Design criteria for automated data acquisition systems in the marine environment

R. Erichsen, 1985, OCEANS '85 - Ocean Engineering and the Environment.

Synchronization regimes in a map-based model neural network

Everton J. Agnes, R. Erichsen, Leonardo Gregory Brunnet, 2010 .

LEARNING and RETRIEVAL in ATTRACTOR Neural Networks with Noise above Saturation

R. Erichsen, W. K. Theumann, 1994 .

The three-state layered neural network with finite dilution

R. Erichsen, W. K. Theumann, 2004 .

OPTIMALLY ADAPTED MULTISTATE NEURAL NETWORKS TRAINED WITH NOISE

R. Erichsen, W. K. Theumann, 1999 .

Mixture States and Storage with Correlated Patterns in Hopfield'S Model

R. Erichsen, W. K. Theumann, 1991, Int. J. Neural Syst..

Learning and retrieval behavior in recurrent neural networks with pre-synaptic dependent homeostatic plasticity

Beatriz E. P. Mizusaki, Leonardo Gregory Brunnet, Everton J. Agnes, 2017 .

Time evolution of coherent structures in networks of Hindmarch–Rose neurons

R. Erichsen, Leonardo Gregory Brunnet, R. Erichsen, 2005 .

Structured information in sparse-code metric neural networks

Eduardo Serrano, Francisco B. Rodriguez, R. Erichsen, 2012 .