Publications by Alexandre Schmid

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The computational complexity of disparity estimation algorithms and the need of large size and bandwidth for the external and internal memory make the real-time processing of disparity estimation challenging, especially for High Resolution (HR) images. Thi ...

This paper investigates a common phenomenon in current mode stimulation which is known as current overshoots and undershoots. The origin of these abnormalities in the current pulses has remained an open issue and these overshoots and undershoots have been ...

Accurate electrical models are needed to support the design of modern microelectrode arrays. The point-contact model is presented thoroughly, and an area-contact model is analytically derived in order to model the electrical characteristics of the cell-ele ...

A novel hardware implementation of an omnidirectional image sensor is presented which is capable of acquiring and processing 3D image sequences in real time. The system consists of a hemispherical arrangement of a large number of CMOS imagers, connecting t ...

Complementary MOS device electrical performances are considerably affected by the degradation of the oxide lay- ers and Si/SiO2 interfaces. A general expression for electrically stressed MOS impedance has been derived and applied within the nonradiative mu ...

A point-contact model is presented, and an areacontact model has been analytically derived in order to model the electrical characteristic of the cell-electrode interface of high-density neuron cultures. The area-contact model is presented as a model more ...

A novel low-complexity method of detecting epileptic seizures from intracranial encephalography (iEEG) signals is presented. In the proposed algorithm, coastline, energy and nonlinear energy features of iEEG signals are extracted in a patient-specific two- ...

Alexandre Schmid

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A 90nm CMOS Cryptographic Core with Improved Fault- Tolerance in Presence of Massive Defect Density

Dynamically adaptive real-time disparity estimation hardware using iterative refinement

Fault-Tolerant Logic Gates with Neuromorphic CMOS Circuits

Current Overshoots and Undershoots in Electrical Stimulation: A Circuit-level Perspective of the Origin and Solutions

Toward a single-electron image processor for edge detection based on the inner retina model

A Bio-Inspired Image Processor for Edge Detection with Single-Electron Circuits

CONAN - A Design Exploration Framework for Reliable Nano-Electronics Architectures

A Bio-Inspired Image Processor for Edge Detection with Single-Electron Circuits

Optimization of Nanoelectronic Systems Reliability by Reducing Logic Depth

Electrical modeling of the cell-electrode interface for recording neural activity from high-density microelectrode arrays

Charge-Based CMOS Realization of Unconventional Functions

Hardware Implementation of an Omnidirectional Camera with Real-Time 3D Imaging Capability

Modeling Stressed MOS Oxides Using a Multiphonon-Assisted Quantum Approach—Part I: Impedance Analysis

On the Fault-Tolerance of a Clustered Single-Electron Neural Network for Differential Enhancement

An Electrical Model of the Cell-Electrode Interface for High-density Microelectrode Arrays

Two-stage Hardware-Friendly Epileptic Seizure Detection Method with a Dynamic Feature Selection

Fault-tolerant architectures for nanoelectronic circuits employing simple feed-forward neural networks without learning

Implementation of early vision model for edge extraction with single-electron devices

Novel Front-End Circuit Architectures for Integrated Bio-Electronic Interfaces

Fault Tolerance of Feed-Forward Artificial Neural Network Architectures Targeting Nano-Scale Implementations