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A Morphogenetic Evolutionary System: Phylogenesis of the POEtic Circuit

Publications associées (43)

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Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone

Joao Emanuel Felipe Gerhard

Identifying the structure and dynamics of synaptic interactions between neurons is the first step to understanding neural network dynamics. The presence of synaptic connections is traditionally inferred through the use of targeted stimulation and paired re ...

Public Library of Science2013

Unique Cell-Type-Specific Distributions and Functions of Brain MicroRNAs

Ana Jovicic

MicroRNAs (miRNAs) are small non-coding RNAs involved in post-transcriptional regulation of gene expression. The first miRNA was discovered less than 20 years ago in the context of studying Caenorabditis elegans development. The discovery of the second miR ...

EPFL2011

Genetic Representation of Adaptive Neural Controllers

Peter Dürr

The manual design of adaptive controllers for robotic systems that face unpredictable environmental changes is often challenging. There is thus a growing interest in the development of automatic design tools to assist control engineers. One of the most com ...

EPFL2011

Evolutionary reverse engineering of gene networks

Daniel Marbach

The expression of genes is controlled by regulatory networks, which perform fundamental information processing and control mechanisms in a cell. Unraveling and modelling these networks will be indispensable to gain a systems-level understanding of biologic ...

EPFL2009

Self-Organizing Configurable Bit Slice Processors

Joël Rossier

Living organisms are endowed with three structural principles: multicellular architecture, cellular division, and cellular differentiation. Implemented in digital according to these principles, our bit slice processors present self-organizing mechanisms li ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Evolutionary and Computational Advantages of Neuromodulated Plasticity

Andrea Soltoggio

The integration of modulatory neurons into evolutionary artificial neural networks is proposed here. A model of modulatory neurons was devised to describe a plasticity mechanism at the low level of synapses and neurons. No initial assumptions were made on ...

University of Birmingham, UK2008

Analog Genetic Encoding for the Evolution of Circuits and Networks

Dario Floreano, Claudio Mattiussi

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

Evolutionary morphogenesis for multi-cellular systems

Dario Floreano, Daniel Roggen, Diego Federici

With a gene required for each phenotypic trait, direct genetic encodings may show poor scalability to increasing phenotype length. Developmental systems may alleviate this problem by providing more efficient indirect genotype to phenotype mappings. A novel ...

2007

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

Evolution of Spiking Neural Circuits in Autonomous Mobile Robots

Dario Floreano, Jean-Christophe Zufferey, Claudio Mattiussi

We describe evolution of spiking neural architectures to control navigation of autonomous mobile robots. Experimental results with simple fitness functions indicate that evolution can rapidly generate spiking circuits capable of navigating in textured envi ...

2006