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Claudio Mattiussi

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Publications associées (37)

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memory in biological neural networks. Similarly, artificial neural networks could benefit from modulatory dynamics when facing certain types of learning problem. Here we test this hypothesis by introducing modulatory neurons to enhance or dampen neural pla ...

MIT Press2008

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Neuromodulation is thought to be one of the underlying principles of learning and memory in biological neural networks. Recent experiments have shown that neuroevolutionary methods benefit from neuromodulation in simple grid-world problems. In this paper w ...

IEEE Computer Society2008

Improving Actigraph Sleep/Wake Classification with Cardio-Respiratory Signals

Dario Floreano, Claudio Mattiussi, Walter Karlen

Actigraphy for long-term sleep/wake monitoring fails to correctly classify situations where the subject displays low activity, but is awake. In this paper we propose a new algorithm which uses both accelerometer and cardio-respiratory signals to overcome t ...

2008

Scalable Reverse Engineering of Nonlinear Gene Networks

Dario Floreano, Claudio Mattiussi, Daniel Marbach, Thomas Schaffter

Current advanced molecular biology techniques provide gene expression (mRNA) levels of selected genes of an organism. In such aggregate, the mRNA level of one gene is mediated by the presence of specific proteins and metabolites produced by other genes. Ge ...

2008

Evolving Neuromodulatory Topologies for Reinforcement Learning-like Problems

Dario Floreano, Claudio Mattiussi, Peter Dürr, Andrea Soltoggio

Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advantage. Recent studies suggest that neuromodulatory dynamics are a key factor in reg ...

IEEE Press2007

Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks

Dario Floreano, Claudio Mattiussi, Daniel Marbach

The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new method for reverse engineering genetic regulatory networks from gene expression d ...

Springer-Verlag Berlin2007

Adaptive Sleep/Wake Classification Based on Cardiorespiratory Signals for Wearable Devices

Dario Floreano, Claudio Mattiussi, Walter Karlen

We describe a method to classify online sleep/wake states of humans based on cardiorespiratory signals for wearable applications. The method is designed to be embedded in a portable microcontroller device and to cope with the resulting tight power and weig ...

IEEE Press2007

This paper describes a new kind of genetic representation called analog genetic encoding (AGE). The representation is aimed at the evolutionary synthesis and reverse engineering of circuits and networks such as analog electronic circuits, neural networks, ...

2007

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Abstract--- In this paper we describe a new class of representations for real-valued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adaptive, and it permits the choice of the degree of redundancy of t ...

ACM Press2007

Method and device for the genetic representation and evolution of networks

Dario Floreano, Claudio Mattiussi

A method for the genetic representation of a network (100), the network having one or more devices (20, 30, 70, 80), each device comprising at least one terminal (21, 22, 23; 71, 72) connected to at least one other terminal (21, 22, 23; 71, 72, 61) by a li ...

2007