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Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Related publications (62)

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Molecular associative memory: An associative memory framework with exponential storage capacity for DNA computing

Mohammad Amin Shokrollahi, Krishna Kumar, Amir Hesam Salavati

Associative memory problem: Find the closest stored vector (in Hamming distance) to a given query vector. There are different ways to implement an associative memory, including the neural networks and DNA strands. Using neural networks, connection weights ...

2011

A role for glucocorticoids in the long-term establishment of a social hierarchy

Maria del Carmen Sandi Perez, Marjan Timmer

Stress can affect the establishment and maintenance of social hierarchies. In the present study, we investigated the role of increasing corticosterone levels before or just after a first social encounter between two rats of a dyad in the establishment and ...

Elsevier2010

Energy transfer in nonlinear network models of proteins

Francesco Piazza

We investigate how nonlinearity and topological disorder affect the energy relaxation of local kicks in coarse-grained network models of proteins. We find that nonlinearity promotes long-range, coherent transfer of substantial energy to specific functional ...

EDP Sciences2009

The Projectron: a Bounded Kernel-Based Perceptron

Barbara Caputo

We present a discriminative online algorithm with a bounded memory growth, which is based on the kernel-based Perceptron. Generally, the required memory of the kernel-based Perceptron for storing the online hypothesis is not bounded. Previous work has been ...

2008

The Projectron: a Bounded Kernel-Based Perceptron

Barbara Caputo

IDIAP2008

Feature fusion reveals slow and fast visual memories

Michael Herzog, Frank Scharnowski

Although the visual system can achieve a coarse classification of its inputs in a relatively short time, the synthesis of qualia-rich and detailed percepts can take substantially more time. If these prolonged computations were to take place in a retinotopi ...

Massachusetts Institute of Technology Press2007

Sensory memory in a model of a cortical column

Julien Mayor

Sensory memory is the first step of a complex memorization process. Sensory information is buffered in a "sensory store" for a short period. Then part of it is transferred to working memory, where information can be actively processed and, eventually, thro ...

EPFL2005

Gait-dependent motor memory facilitation in covert movement execution

Grégoire Courtine

In the current study, we examined whether sensorimotor information stored in short-term memory may influence the temporal features between overt and covert execution of human locomotor movements and, furthermore, to examine to what extent such influence ma ...

2004

Online processing of multiple inputs in a sparsely-connected recurrent neural network

Wulfram Gerstner, Julien Mayor

The storage and short-term memory capacities of recurrent neural networks of spiking neurons are investigated. We demonstrate that it is possible to process online many superimposed streams of input. This is despite the fact that the stored information is ...

Springer2003

Attractor learning with nonlinear, artificial, neural network

A nonlinear recurrent neural network is trained to synthesize chaotic signals. The identification process is reduced to a teaching phase and a linear regression. The influence of the shape of the nonlinearity in the neurons and the noise amplitude are stud ...

2003