Publications associées à Sociologie informatique

Extending peripersonal space representation without tool-use: evidence from a combined behavioral-computational approach

Andrea Serino, Elisa Canzoneri

Stimuli from different sensory modalities occurring on or close to the body are integrated in a multisensory representation of the space surrounding the body, i.e., peripersonal space (PPS). PPS dynamically modifies depending on experience, e.g., it extend ...

Frontiers Research Foundation2015

A hybrid computational model to predict chemotactic guidance of growth cones

Silvestro Micera

The overall strategy used by growing axons to find their correct paths during the nervous system development is not yet completely understood. Indeed, some emergent and counterintuitive phenomena were recently described during axon pathfinding in presence ...

Nature Publishing Group2015

On the predictive ability of mechanistic models for the Haitian cholera epidemic

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Flavio Finger, Marino Gatto

Predictive models of epidemic cholera need to resolve at suitable aggregation levels spatial data pertaining to local communities, epidemiological records, hydrologic drivers, waterways, patterns of human mobility and proxies of exposure rates. We address ...

Royal Society, The2015

Behavioral, Neural, and Computational Principles of Bodily Self-Consciousness

Olaf Blanke, Andrea Serino, Mel Slater

Recent work in human cognitive neuroscience has linked self-consciousness to the processing of multisensory bodily signals (bodily self-consciousness [BSC]) in fronto-parietal cortex and more posterior temporo-parietal regions. We highlight the behavioral, ...

Cell Press2015

Accurate and efficient evaluation of failure probability for partial different equations with random input data

Alfio Quarteroni, Peng Chen

Several computational challenges arise when evaluating the failure probability of a given system in the context of risk prediction or reliability analysis. When the dimension of the uncertainties becomes high, well established direct numerical methods can ...

Elsevier Science Sa2013

A methodology for creating sequential multi-period base-case scenarios for large data sets

François Maréchal, Greta Martha Van Eetvelde, Laurent Gabriel Félix Alexandre Stéphane Bungener

Key performance indicators in engineering problems include but are not limited to financial, operational, management and environmental factors, which are significantly affected by aspects such as seasonality, fouling, economic climate, production rates, su ...

AIDIC Servizi2013

A Fast TCAD-based Methodology for Variation Analysis of Emerging Nano-Devices

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Majid Yazdani, Hassan Ghasemzadeh Mohammadi

Variability analysis of nanoscale transistors and circuits is emerging as a necessity at advanced technology nodes. Technology Computer Aided Design (TCAD) tools are powerful ways to get an accurate insight of Process Variations (PV). However ...

2013

Robust Distributed Model Predictive Control of Linear Systems

Colin Neil Jones, Melanie Nicole Zeilinger

In this work, synthesis and closed-loop operation of robust distributed model predictive control (MPC) for linear systems using distributed optimization is discussed. Previous work has shown that a nominal MPC controller for this setup can be synthesized a ...

2013

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Sociologie informatique

Extending peripersonal space representation without tool-use: evidence from a combined behavioral-computational approach

A hybrid computational model to predict chemotactic guidance of growth cones

On the predictive ability of mechanistic models for the Haitian cholera epidemic

Behavioral, Neural, and Computational Principles of Bodily Self-Consciousness

Accurate and efficient evaluation of failure probability for partial different equations with random input data

A methodology for creating sequential multi-period base-case scenarios for large data sets

Mapping of Functional Groups in Metal-Organic Frameworks

A Fast TCAD-based Methodology for Variation Analysis of Emerging Nano-Devices

Modeling Methane Adsorption in Interpenetrating Porous Polymer Networks

Robust Distributed Model Predictive Control of Linear Systems

Graph Chatbot

Chattez avec Graph Search

Accurate and efficient evaluation of failure probability for partial different equations with random input data

A hybrid computational model to predict chemotactic guidance of growth cones

On the predictive ability of mechanistic models for the Haitian cholera epidemic

Behavioral, Neural, and Computational Principles of Bodily Self-Consciousness

Modeling Methane Adsorption in Interpenetrating Porous Polymer Networks

A methodology for creating sequential multi-period base-case scenarios for large data sets

A Fast TCAD-based Methodology for Variation Analysis of Emerging Nano-Devices

Mapping of Functional Groups in Metal-Organic Frameworks

Robust Distributed Model Predictive Control of Linear Systems

Extending peripersonal space representation without tool-use: evidence from a combined behavioral-computational approach