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Catégorie

Neurosciences computationnelles

Publications associées (27)

Design of an Always-On Deep Neural Network-Based 1-mu W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction

Minhao Yang

This paper presents an ultra-low-power voice activity detector (VAD). It uses analog signal processing for acoustic feature extraction (AFE) directly on the microphone output, approximate event-driven analog-to-digital conversion (ED-ADC), and digital deep ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Data-Driven Modeling of Cholinergic Modulation of Neural Microcircuits: Bridging Neurons, Synapses and Network Activity

Henry Markram, Srikanth Ramaswamy, Cristina Colangelo

Neuromodulators, such as acetylcholine (ACh), control information processing in neural microcircuits by regulating neuronal and synaptic physiology. Computational models and simulations enable predictions on the potential role of ACh in reconfiguring netwo ...

2018

Modeling Immersive Media Experiences by Sensing Impact on Subjects

Touradj Ebrahimi, Philippe Hanhart, Jong Seok Lee, Martin Rerabek, Eleni Kroupi

As immersive technologies target to provide higher quality of multimedia experiences, it is important to understand the quality of experience (QoE) perceived by users from various multimedia rendering schemes, in order to design and optimize human-centric ...

Springer Verlag2016

Does sensitivity in binary choice tasks depend on response modality?

Michael Herzog, Lukasz Grzeczkowski, Izabela Szumska

In most models of vision, a stimulus is processed in a series of dedicated visual areas, leading to categorization of this stimulus, and possible decision, which subsequently may be mapped onto a motor-response. In these models, stimulus processing is thou ...

Elsevier2016

A Fully-Integrated IC with 0.85-uW/Channel Consumption for Epileptic iEEG Detection

Alexandre Schmid, Mahsa Shoaran

Feature extraction from a multichannel compressed neural signal is introduced in this brief. Compressive sensing (CS) is an efficient method for reducing the transmission data rate of sparse biological signals and lowering the power consumption of resource ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Mapping interictal epileptic discharges using mutual information between concurrent EEG and fMRI

Dimitri Nestor Alice Van De Ville, François Lazeyras

Objective: The mapping of haemodynamic changes related to interictal epileptic discharges (IED) in simultaneous electroencephalography (EEG) and functional MRI (fMRI) studies is usually carried out by means of EEG-correlated fMRI analyses where the EEG inf ...

Elsevier2013

Spontaneous and evoked synaptic rewiring in the neonatal neocortex

Henry Markram, Jean-Vincent Le Bé

The local microcircuitry of the neocortex is structurally a tabula rasa, with the axon of each pyramidal neuron having numerous submicrometer appositions with the dendrites of all neighboring pyramidal neurons, but is functionally highly selective, with sy ...

National Academy of Sciences2006