Publications by Cosimo Aprile | EPFL Graph Search

A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS

Catherine Dehollain, Yusuf Leblebici, Volkan Cevher, Florian Dylan Fallegger, Stéphanie Lacour, Cosimo Aprile, Kerim Türe, Emilie Cornelia Maria Revol, Arda Uran, Alix Esther Anne Trouillet

Next generation invasive neural interfaces require fully implantable wireless systems that can record from a large number of channels simultaneously. However, transferring the recorded data from the implant to an external receiver emerges as a significant ...

2022

A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS

Catherine Dehollain, Yusuf Leblebici, Volkan Cevher, Florian Dylan Fallegger, Stéphanie Lacour, Cosimo Aprile, Kerim Türe, Arda Uran, Alix Esther Anne Trouillet

Wireless implantable neural recording chips enable multichannel data acquisition with high spatiotemporal resolution in situ. Recently, the use of machine learning approaches on neural data for diagnosis and prosthesis control have renewed the interest in ...

2021

A 161-mW 56-Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14-nm FinFET

Yusuf Leblebici, Alessandro Cevrero, Andreas Peter Burg, Gain Kim, Lukas Kull, Thomas Toifl, Cosimo Aprile, Ilter Ozkaya

This article introduces a wireline receiver (RX) data-path employing discrete multi-tone (DMT) modulation for communicating over electrical links. The DMT RX incorporates a fully digital equalization data-path, with a synthesized and automatically placed a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

A 4.8pJ/b 6Gb/s ADC-Based PAM-4 Wireline Receiver Data -Path with Cyclic Prefix in 14nm FinFET

Yusuf Leblebici, Alessandro Cevrero, Andreas Peter Burg, Gain Kim, Lukas Kull, Thomas Toifl, Cosimo Aprile, Ilter Ozkaya

This work presents an ADC-bascd receiver (RX) data-path for frame-based PAM-4 modulation with a cyclic prefix (CP). Similar to discrete multi-tone (DMT) modulation, a frame of PAM-4 symbols arc protected from the channel delay spread by the CP taps. A PAM- ...

IEEE2019

A 24 kb Single-Well Mixed 3T Gain-Cell eDRAM with Body-Bias in 28 nm FD-SOI for Refresh-Free DSP Applications

Yusuf Leblebici, Andreas Peter Burg, Cosimo Aprile, Andrea Bonetti, Nicolas Claude Frigerio, Robert Giterman, Jonathan Emmanuel D Narinx

Logic-compatible gain-cell embedded DRAM (GC-eDRAM) is an emerging alternative to conventional SRAM for memory-dominated system-on-chip (SoC) designs due to its high-density, low-power, and two-ported operation. Although GCs have a limited data retention t ...

IEEE2019

A 161mW 56Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14nm FinFET

Yusuf Leblebici, Alessandro Cevrero, Andreas Peter Burg, Gain Kim, Lukas Kull, Thomas Toifl, Cosimo Aprile, Ilter Ozkaya

IEEE2019

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants

Catherine Dehollain, Yusuf Leblebici, Volkan Cevher, Mahsa Shoaran, Gürkan Yilmaz, Franco Maloberti, Cosimo Aprile, Kerim Türe, Luca Baldassarre

Implantable systems are nowadays being used to interface the human brain with external devices, in order to understand and potentially treat neurological disorders. The most predominant design constraints are the system’s area and power. In this paper, we ...

2018

Real-time DCT Learning-based Reconstruction of Neural Signals

Volkan Cevher, Cosimo Aprile, Rabeeh Karimi Mahabadi

Wearable and implantable body sensor network systems are one of the key technologies for continuous monitoring of patient’s vital health status such as temperature and blood pressure, and brain activity. Such devices are critical for early detection of eme ...

IEEE2018

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Yusuf Leblebici, Volkan Cevher, Cosimo Aprile, Luca Baldassarre

A power and area efficient hardware encoding system tailored for wireless implantable applications is presented. Constant medical monitoring allowed by implantable devices is the most relevant alternative to current bulky monitoring systems, which, in case ...

ASSOC COMPUTING MACHINERY2018

Learning-Based Hardware Design for Data Acquisition Systems

Cosimo Aprile

This multidisciplinary research work aims to investigate the optimized information extraction from signals or data volumes and to develop tailored hardware implementations that trade-off the complexity of data acquisition with that of data processing, conc ...

EPFL2018

Parallel Implementation Technique of Digital Equalizer for Ultra-High-Speed Wireline Receiver

Yusuf Leblebici, Alessandro Cevrero, Gain Kim, Lukas Kull, Thomas Toifl, Cosimo Aprile, Ilter Ozkaya

This paper presents a parallel implementation technique of digital equalizer for high-speed wireline serial link receiver (RX). In wireline RX, inter-symbol interference (ISI) is mitigated by continuous-time linear equalizer, and the remaining ISI is cance ...

2018

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Yusuf Leblebici, Volkan Cevher, Cosimo Aprile, Luca Baldassarre

A power and area effcient hardware encoding system tailored for wireless implantable applications is presented. Constant medical monitoring allowed by implantable devices is the most relevant alternative to current bulky monitoring systems, which, in case ...

2018

An Eight lanes 7Gb/s/pin Source Synchronous Single-Ended RX with Equalization and Far-End Crosstalk Cancellation for Backplane Channels

Yusuf Leblebici, Alessandro Cevrero, Lukas Kull, Volkan Cevher, Thomas Toifl, Cosimo Aprile

This paper presents a versatile crosstalk cancellation scheme for single-ended multi-lane backplane links. System-level investigations show that a scheme, which combines analog filters and decision-feedback crosstalk compensation on the receiver (RX) side ...

2018

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

Yusuf Leblebici, Volkan Cevher, Cosimo Aprile, Luca Baldassarre

This work presents an area and power efficient encoding system for wireless implantable devices capable of monitoring the electrical activity of the brain. Such devices are becoming an important tool for understanding, real-time monitoring, and potentially ...

2017

A 5.9mW/Gb/s 7Gb/s/pin 8-Lane Single-Ended RX with Crosstalk Cancellation Scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS

Yusuf Leblebici, Alessandro Cevrero, Lukas Kull, Volkan Cevher, Thomas Toifl, Cosimo Aprile, Ilter Ozkaya

This work reports an 8-lane single-ended RX featuring compact and low power far-end crosstalk (FEXT) cancellation circuits. The RX data-path consists of a cross continuous-time linear equalizer (XCTLE) to remove FEXT by nearest aggressors within the channe ...

2015

A Primal-dual Framework For Mixtures Of Regularisers

Volkan Cevher, Baran Gözcü, Cosimo Aprile, Luca Baldassarre, Quoc Tran Dinh

Effectively solving many inverse problems in engineering requires to leverage all possible prior information about the structure of the signal to be estimated. This often leads to tackling constrained optimization problems with mixtures of regularizers. Pr ...

2015

Structured Sampling and Recovery of iEEG Signals

Yusuf Leblebici, Volkan Cevher, Mahsa Shoaran, Cosimo Aprile, Luca Baldassarre

Wireless implantable devices capable of monitoring the electrical activity of the brain are becoming an important tool for understanding, and potentially treating, mental diseases such as epilepsy and depression. Compressive sensing (CS) is emerging as a p ...

2015