Publications related to A 16-channel 220 µW neural recording IC with embedded delta compression

Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds

Recovery of the sparsity pattern (or support) of an unknown sparse vector from a small number of noisy linear mea- surements is an important problem in compressed sensing. In this paper, the high-dimensional setting is considered. It is shown that if the m ...

Institute of Electrical and Electronics Engineers2013

Structured Sparse Acoustic Modeling for Speech Separation

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammad Golbabaee

A novel formulation of acoustic multipath is proposed for estimation of the room acoustic using recordings of unknown concurrent speech sources at unknown locations. The framework exploits sparsity and low-rank structures characterized by the Image method ...

SPARS2013

Low-Power Circuits and Systems Design for Data Acquisition and Transmission in a Wireless Cortical Implant

Vahid Majidzadeh Bafar

Minimally invasive monitoring of the electrical activity of specific cortical areas using implantable microsystems offers the promise of diagnosing neurological diseases, as well as detecting and identifying neural activity patterns which are specific to a ...

EPFL2012

Low-Noise, High-Density Microelectronics for Multi-Mode Screening of Excitable Biological Cells

Urs Alexander Müller

In the past decades, two recording tools have established themselves as the working horses in the field of electrophysiological cell research: the microelectrode array (MEA) and the optical fluorescence imaging. The former is a grid of miniature electrodes ...

EPFL2012

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

Thomas Liechti

This thesis describes a novel digital background calibration scheme for pipelined ADCs with nonlinear interstage gain. Errors caused by the nonlinear gains are corrected in real-time by adaptively post-processing the digital stage outputs. The goal of this ...

EPFL2012

A comparison of in vivo (13) C MR brain glycogen quantification at 9.4 and 14.1 T

Rolf Gruetter, Yves Pilloud, Ruud van Heeswijk

The high molecular weight and low concentration of brain glycogen render its noninvasive quantification challenging. Therefore, the precision increase of the quantification by localized (13) C MR at 9.4 to 14.1 T was investigated. Signal-to-noise ratio inc ...

2012

Remotely Powered Wireless Cortical Implants for Brain-Machine Interfaces

Kanber Mithat Silay

Brain-machine interfaces hold promise for restoring basic functions such as movement or speech for severely disabled patients, as well as for controlling neuroprosthetic devices for amputees. One of the major challenges of clinically viable neuroprostheses ...

EPFL2012

How Recurrent Dynamics Explain Crowding

Michael Herzog, Aaron Michael Clarke

In crowding, flankers impair perception of a target. For example, Vernier offset discrimination deteriorates when the Vernier is flanked by parallel lines. Pooling models explain crowding by averaging of neural activity corresponding to the Vernier and the ...

2012

Temporal SNR characteristics in segmented 3D-EPI at 7T

Rolf Gruetter, Tobias Kober, Wietske Van der Zwaag, José Pedro Rebelo Ferreira Marques

Three-dimensional segmented echo planar imaging (3D-EPI) is a promising approach for high-resolution functional magnetic resonance imaging, as it provides an increased signal-to-noise ratio (SNR) at similar temporal resolution to traditional multislice 2D- ...

Wiley-Blackwell2012

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Christina Fragouli, Ayan Sengupta, I-Hsiang Wang

We evaluate the information-theoretic achievable rates of Quantize-Map-and-Forward (QMF) relaying schemes over Gaussian

N

-relay diamond networks. Focusing on vector Gaussian quantization at the relays, our goal is to understand how close to the cutset up ...

2012

A 16-channel 220 µW neural recording IC with embedded delta compression

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Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds

Structured Sparse Acoustic Modeling for Speech Separation

Low-Power Circuits and Systems Design for Data Acquisition and Transmission in a Wireless Cortical Implant

Low-Noise, High-Density Microelectronics for Multi-Mode Screening of Excitable Biological Cells

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

A comparison of in vivo (13) C MR brain glycogen quantification at 9.4 and 14.1 T

Remotely Powered Wireless Cortical Implants for Brain-Machine Interfaces

How Recurrent Dynamics Explain Crowding

Temporal SNR characteristics in segmented 3D-EPI at 7T

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Low-Power Circuits and Systems Design for Data Acquisition and Transmission in a Wireless Cortical Implant

Low-Noise, High-Density Microelectronics for Multi-Mode Screening of Excitable Biological Cells

A comparison of in vivo (13) C MR brain glycogen quantification at 9.4 and 14.1 T

Structured Sparse Acoustic Modeling for Speech Separation

Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds

How Recurrent Dynamics Explain Crowding

Remotely Powered Wireless Cortical Implants for Brain-Machine Interfaces

On-Chip Digital Background Calibration of Pipelined Analog-to-Digital Converters using Digital Assistance to support Nonlinear Residue Amplification

Temporal SNR characteristics in segmented 3D-EPI at 7T

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks