Publications associées à Ordinateur neuronal

Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Lorena Gonçalves de Alcântara e Freitas Krikler, Arwen Blanche Giraud

Investigating context-dependent modulations of Functional Connectivity (FC) with functional magnetic resonance imaging is crucial to reveal the neurological underpinnings of cognitive processing. Most current analysis methods hypothesise sustained FC withi ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2020

TMS-induced control of bodily self-consciousness by combining non-invasive brain stimulation and immersive virtual reality

Matteo Franza

Our brain constantly receives and integrates a flow of sensory and motor information that shapes the way our body is represented. Several experimental approaches have been proposed to alter the body representation, by manipulating exteroceptive or interoce ...

EPFL2020

Cognitive neuroprosthetics for investigating and restoring body perception

Marco Solcà

Our brain constantly receives and integrates a flow of multisensory bodily inputs that are responsible for the way our body is represented and consciously experienced. However, in some pathological conditions, patients might experience altered perceptions ...

EPFL2019

Spatiotemporal stimulation strategies in neuroprostheses to improve locomotion after spinal cord injury

Jérôme Gandar

Spinal cord injury (SCI) disrupts communication within central nervous system and lead to range of neurological disorders including paralysis. Current rehabilitation strategies to restore locomotion are poorly effective in people with severe SCI. Epidural ...

EPFL2019

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Mohit Kumar Goel

Estimation of intracranial sources, using inverse solutions methods, has been proposed as a mean to improve performance in non-invasive brain-computer interfaces. These methods estimate the activity of a large number of neural sources from a smaller number ...

2017

A Microfluidic Brain Interface for In Vivo Recording of Neurochemical Activity

Guillaume Cédric Yves Petitpierre

Neurological disorders have a strong negative impact on the quality of life of affected patients, their close relatives as well as on the health economic system. Early diagnosis associated with better treatment outcomes remain difficult to reach. Similarly ...

EPFL2017

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Daniel Peppicelli, Marc-Oliver Gewaltig, Luc Guyot, Egidio Falotico, Lorenzo Vannucci, Axel von Arnim, Paul Levi, Georg Hinkel, Stefan Ulbrich, Eduardo Ros

Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensor ...

2017

Review of Advances in Neural Networks: Neural Design Technology Stack

Yusuf Leblebici, Stanislaw Andrzej Wozniak

This review provides a high-level synthesis of significant recent advances in artificial neural network research, as well as multi-disciplinary concepts connected to the far-reaching goal of obtaining intelligent systems. We assume that a global outlook of ...

Elsevier2016

A method for determining neural connectivity and inferring the underlying network dynamics using extracellular spike recordings

Oscar De Feo

In the present paper we propose a novel method for the identification and modeling of neural networks using extracellular spike recordings. We create a deterministic model of the effective network, whose dynamic behavior fits experimental data. The network ...

2005