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Publications associées (12)

Global brain dynamics under visual entrainment

Cognitive and perceptual functions depend on the momentary dynamics of the brain. A typical approach to investigate these dynamics is through the so-called method of entrainment. In entrainment, a rhythmic stimulation (e.g., a periodic visual or auditory s ...

2022

The role of medial amygdala inhibitory neurons in regulating social behavior

Aiste Baleisyte

Aggression is an evolutionary conserved social behavior that is necessary for an animalÂŽs survival. The neural substrates coordinating aggression are known to exist in the amygdala and the hypothalamus. While the medial amygdala (MeA) and the ventrolatera ...

EPFL2021

Phylogenetic correlations can suffice to infer protein partners from sequences

Anne-Florence Raphaëlle Bitbol

Author summary Many biologically important protein-protein interactions are conserved over evolutionary time scales. This leads to two different signals that can be used to computationally predict interactions between protein families and to identify speci ...

2019

A systematic review of machine learning methodologies for modelling passenger mode choice

Michel Bierlaire, Timothy Michael Hillel

Machine Learning (ML) approaches are increasingly being investigated as an alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These approaches have the potential to provide valuable insights into choice modelling research ques ...

2019

Brain-Controlled Neuroprosthetic Therapies And Mechanisms Of Recovery After Spinal Cord Injury

Galyna Pidpruzhnykova

Spinal cord injury (SCI) is the second leading cause of paralysis, which induces abrupt impairments with devastating consequences for the quality of life of patients. Despite significant progress in SCI treatment through neurorehabilitation training and sp ...

EPFL2017

New Techniques for Ancient Proteins: Direct Coupling Analysis Applied on Proteins Involved in Iron Sulfur Cluster Biogenesis

Paolo De Los Rios, Duccio Malinverni

Direct coupling analysis (DCA) is a powerful statistical inference tool used to study protein evolution. It was introduced to predict protein folds and protein-protein interactions, and has also been applied to the prediction of entire interactomes. Here, ...

2017

Assessing Recent Selection and Functionality at Long Noncoding RNA Loci in the Mouse Genome

Anamaria Necsulea

Long noncoding RNAs (lncRNAs) are one of the most intensively studied groups of noncoding elements. Debate continues over what proportion of lncRNAs are functional or merely represent transcriptional noise. Although characterization of individual lncRNAs h ...

Oxford Univ Press2015

Viability evolutionary algorithms and applications to neuroscience and biology

Andrea Maesani

Evolutionary algorithms are heuristic methods that operate on a population of individuals, which represent candidate solutions to optimization problems. Individuals with better quality, or fitness, are reproduced at a higher rate than less fit individuals ...

EPFL2015

Temporal whitening by power-law adaptation in neocortical neurons

Wulfram Gerstner, Richard Naud, Skander Mensi, Christian Antonio Pozzorini

Spike-frequency adaptation (SFA) is widespread in the CNS, but its function remains unclear. In neocortical pyramidal neurons, adaptation manifests itself by an increase in the firing threshold and by adaptation currents triggered after each spike. Combini ...

Nature Publishing Group2013

Adaptation of Hybrid Human-Computer Interaction Systems using EEG Error-Related Potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Andrea Biasiucci, Daniel Roggen

Performance improvement in both humans and artificial systems strongly relies in the ability of recognizing erroneous behavior or decisions. This paper, that builds upon previous studies on EEG error-related signals, presents a hybrid approach for human co ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, NJ 08855-1331 USA2010

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