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A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models

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In vivo electrical stimulation of the optic nerve and hybrid computational model for neuroprosthetic applications

Silvestro Micera, Diego Ghezzi, Samuel Charles Antoine Gilliéron, Fiorenzo Artoni, Paola Vagni, Vivien Gaillet

Blindness affects millions of people worldwide, dramatically decreasing their quality of life. Retinal dystrophies, such as age related macular degeneration and Retinitis Pigmentosa, which are leading causes of blindness in industrialized countries, curren ...

2018

Automated point-neuron simplification of data-driven microcircuit models

Wulfram Gerstner, Henry Markram, Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, James Gonzalo King, Idan Segev, Marc-Oliver Gewaltig, Christian Antonio Pozzorini, Giuseppe Chindemi, Willem Anna Mark Wybo, Taylor Howard Newton, Christian Andreas Rössert, Max Christian Nolte

A method is presented for the reduction of morphologically detailed microcircuit models to a point-neuron representation without human intervention. The simplification occurs in a modular workflow, in the neighborhood of a user specified network activity s ...

2016

Substantial downscaling of the feature size in current CMOS technology has confronted digital designers with serious challenges including short channel effect and high amount of leakage power. To address these problems, emerging nano-devices, e.g., Silicon ...

EPFL2016

This paper presents a high-voltage, high-current implantable cortical stimulation integrated circuit aiming at supporting rehabilitation of patients suffering from stroke. In this context, a large area of the motor cortex needs to be stimulated, requiring ...

2015

Efficient perceptual identification of emotionally-relevant stimuli requires optimized neural coding. Because sleep contributes to neural plasticity mechanisms, we asked whether the perceptual representation of emotionally-relevant stimuli within sensory c ...

Elsevier2014

Connectivity Changes Underlying Neurofeedback Training of Visual Cortex Activity

Frank Scharnowski

Neurofeedback based on real-time functional magnetic resonance imaging (fMRI) is a new approach that allows training of voluntary control over regionally specific brain activity. However, the neural basis of successful neurofeedback learning remains poorly ...

Public Library of Science2014

Electrophysiological Evidence for Ventral Stream Deficits in Schizophrenia Patients

Michael Herzog, Maya Roinishvili, Gijs Plomp

Schizophrenic patients suffer from many deficits including visual, attentional, and cognitive ones. Visual deficits are of particular interest because they are at the fore-end of information processing and can provide clear examples of interactions between ...

Oxford Univ Press2013

White-Matter Connectivity between Face-Responsive Regions in the Human Brain

Dimitri Nestor Alice Van De Ville

Face recognition is of major social importance and involves highly selective brain regions thought to be organized in a distributed functional network. However, the exact architecture of interconnections between these regions remains unknown. We used funct ...

Oxford University Press2012

The cerebral cortex occupies nearly 80% of the entire volume of the mammalian brain and is thought to subserve higher cognitive functions like memory, attention and sensory perception. The neocortex is the newest part in the evolution of the cerebral corte ...

EPFL2011

Distributed EEG source imaging can reveal the electrical activity underlying visual perception in both cortical and deeper sources. How well electrical source imaging localizes functionally specialized visual areas, such as V1 and MT, has so far not been d ...

Pion2010