Processing math: 10%
Yuwei Wu - IEEE Xplore Author Profile

Scheduled Maintenance: On Tuesday, May 20, IEEE Xplore will undergo scheduled maintenance from 1:00-5:00 PM ET (6:00-10:00 PM UTC). During this time, there may be intermittent impact on performance. We apologize for any inconvenience.

Subscribe
ADVANCED SEARCH

Author details

< Back

Yuwei Wu

Publications
3
Citations
16
Publications by Year
20212021
Co-Authors:
Show All Co-Authors (10)
Headshot silhouette indicating that no photo is available for this author

Yuwei Wu

Affiliation

NARI Technology Development Co. Ltd., Nanjing, China

Publication Topics

Publications
3
Citations
16
Publications by Year
20212021
Co-Authors:
Show All Co-Authors (10)
Author's Published Works

Showing 1-25 of 31 results

  • Sort

Filter Results

Show

Sort By

Results

A 16-Output 10-V Compliant Stimulator ASIC With Sub-10-nA Mismatch and Simultaneous ETI Sensing for Selective Neural Stimulation

Haoming Xin;Meiyi Zhou;Roland van Wegberg;Peter Vis;Konstantinos Petkos;Shrishail Patki;Nicolò Rossetti;Mark Fichman;Vojkan Mihajlović;Carolina Mora Lopez;Geert Langereis;Mario Konijnenburg;Nick Van Helleputte

IEEE Journal of Solid-State Circuits
Year: 2025 | Volume: 60, Issue: 3 | Journal Article |
Cited by: Papers (1)
This article presents a 16-output high-voltage (HV) compliant stimulator ASIC for selective neural stimulation. The ASIC supports temporal interference stimulation (TIS) to achieve high-spatial selectivity without requiring nerve-penetrating electrodes. A novel on-the-fly active charge balancing (CB) is proposed since existing CB solutions cannot be directly applied to TIS. Simultaneous electrode-...Show More

A 16-Output 10-V Compliant Stimulator ASIC With Sub-10-nA Mismatch and Simultaneous ETI Sensing for Selective Neural Stimulation

Haoming Xin;Meiyi Zhou;Roland van Wegberg;Peter Vis;Konstantinos Petkos;Shrishail Patki;Nicolò Rossetti;Mark Fichman;Vojkan Mihajlović;Carolina Mora Lopez;Geert Langereis;Mario Konijnenburg;Nick Van Helleputte

Year: 2025 | Volume: 60, Issue: 3 | Journal Article |

A 3072-Channel Neural Readout IC with Multiplexed Two-Step Incremental-SAR Conversion and Bulk-DAC-Based EDO Compensation in 22nm FDSOI

Xiaohua Huang;Xiaolin Yang;Andrea Lodi;Chris Van Hoof;Georges Gielen;Carolina Mora Lopez

2024 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
Year: 2024 | Conference Paper |
We introduce a compact neural readout IC (ROIC) for high-resolution, large-scale \mu \text{ECoG} arrays able to capture wideband brain-surface action potentials (APs). It efficiently records from 3072 electrodes via 96 time-multiplexed super-channels. The super-channels feature two-step incremental-SAR (I-SAR) conversion and area-power-efficient bulk-DACs (BDACs) to handle multiplexed inputs and...Show More

A 3072-Channel Neural Readout IC with Multiplexed Two-Step Incremental-SAR Conversion and Bulk-DAC-Based EDO Compensation in 22nm FDSOI

Xiaohua Huang;Xiaolin Yang;Andrea Lodi;Chris Van Hoof;Georges Gielen;Carolina Mora Lopez

Year: 2024 | Conference Paper |

An Event-Based Neural Compressive Telemetry With >11× Loss-Less Data Reduction for High-Bandwidth Intracortical Brain Computer Interfaces

Yuming He;Stan van der Ven;Hua-Peng Liaw;Chengyao Shi;Pietro Russo;Marios Gourdouparis;Mario Konijnenburg;Stefano Traferro;Martijn Timmermans;Carolina Mora Lopez;Pieter Harpe;Eugenio Cantatore;Elisabetta Chicca;Yao-Hong Liu

IEEE Transactions on Biomedical Circuits and Systems
Year: 2024 | Volume: 18, Issue: 5 | Journal Article |
Cited by: Papers (2)
Intracortical brain-computer interfaces offer superior spatial and temporal resolutions, but face challenges as the increasing number of recording channels introduces high amounts of data to be transferred. This requires power-hungry data serialization and telemetry, leading to potential tissue damage risks. To address this challenge, this paper introduces an event-based neural compressive telemet...Show More

An Event-Based Neural Compressive Telemetry With >11× Loss-Less Data Reduction for High-Bandwidth Intracortical Brain Computer Interfaces

Yuming He;Stan van der Ven;Hua-Peng Liaw;Chengyao Shi;Pietro Russo;Marios Gourdouparis;Mario Konijnenburg;Stefano Traferro;Martijn Timmermans;Carolina Mora Lopez;Pieter Harpe;Eugenio Cantatore;Elisabetta Chicca;Yao-Hong Liu

Year: 2024 | Volume: 18, Issue: 5 | Journal Article |

A 0-to-35mA NMOS Capacitor-Less LDO with Dual-Loop Regulation Achieving 3ns Response Time and 1pF-to-10nF Loading Range

Wen-Yang Hsu;Joan Aymerich;Xiaolin Yang;Chutham Sawigun;Philippe Coppejans;Carolina Mora Lopez

ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
This paper presents a capacitor-less low-dropout voltage regulator (LDO) based on an NMOS pass transistor and a dual-loop regulation. The first capacitively-coupled loop responds to a fast change of load currents, whereas the second time-based loop provides a high-precision regulation without requiring an external clock. Our proposed LDO, implemented in a 55nm CMOS, achieves a 3ns response time an...Show More

A 0-to-35mA NMOS Capacitor-Less LDO with Dual-Loop Regulation Achieving 3ns Response Time and 1pF-to-10nF Loading Range

Wen-Yang Hsu;Joan Aymerich;Xiaolin Yang;Chutham Sawigun;Philippe Coppejans;Carolina Mora Lopez

Year: 2023 | Conference Paper |

A 128-channel neural stimulation and recording ASIC for scalable cortical visual prosthesis

Bogdan C. Raducanu;Joan Aymerich;Wen-Yang Hsu;Patrick Hendrickx;Carolina Mora Lopez

ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
Blindness affects millions of people around the world, being triggered by various defects within the human visual system. Different kinds of prostheses have been developed, which can stimulate the retina, the optical nerve or even the visual cortex, creating a basic form of vision. Here, we present a scalable ASIC and data-acquisition system that enables neural stimulation and recording in the vis...Show More

A 128-channel neural stimulation and recording ASIC for scalable cortical visual prosthesis

Bogdan C. Raducanu;Joan Aymerich;Wen-Yang Hsu;Patrick Hendrickx;Carolina Mora Lopez

Year: 2023 | Conference Paper |

A Glimpse of the History of Analog ICs: A Tale of Amplifiers, Data Converters, and Sensor Interfaces

Youngcheol Chae;Carolina Mora Lopez;Kofi A.A. Makinwa;Maurits Ortmanns;Willy Sansen

IEEE Solid-State Circuits Magazine
Year: 2023 | Volume: 15, Issue: 3 | Magazine Article |
Probably the most distinct divide in electronic circuits is that between digital and linear (analog) circuits. Using vacuum tubes; later, transistors; and then ICs, circuits based on switching (binary and digital signals) and amplification (analog signals) have always been at the heart of electronic systems. Even though electronics are making our world more digital, the real world remains stubborn...Show More

A Glimpse of the History of Analog ICs: A Tale of Amplifiers, Data Converters, and Sensor Interfaces

Youngcheol Chae;Carolina Mora Lopez;Kofi A.A. Makinwa;Maurits Ortmanns;Willy Sansen

Year: 2023 | Volume: 15, Issue: 3 | Magazine Article |

A 384-Channel Online-Spike-Sorting IC Using Unsupervised Geo-OSort Clustering and Achieving 0.0013mm2/Ch and 1.78\mu \text{W/ch}

Yingping Chen;Bernardo Tacca;Yunzhu Chen;Dwaipayan Biswas;Georges Gielen;Francky Catthoor;Marian Verhelst;Carolina Mora Lopez

2023 IEEE International Solid-State Circuits Conference (ISSCC)
Year: 2023 | Conference Paper |
Cited by: Papers (7)
As neural-recording devices get denser and generate more data [1], on-chip and online neural-signal processing becomes crucial to reduce the data-transmission power and enable real-time closed-loop applications with minimum latency. Spike sorting (SS) is an important data-reduction technique that allows the classification of extracellularly recorded spikes into clusters representing the neuron sou...Show More

A 384-Channel Online-Spike-Sorting IC Using Unsupervised Geo-OSort Clustering and Achieving 0.0013mm2/Ch and 1.78\mu \text{W/ch}

Yingping Chen;Bernardo Tacca;Yunzhu Chen;Dwaipayan Biswas;Georges Gielen;Francky Catthoor;Marian Verhelst;Carolina Mora Lopez

Year: 2023 | Conference Paper |

An AC-Coupled 1st-Order Δ-ΔΣ Readout IC for Area-Efficient Neural Signal Acquisition

Xiaolin Yang;Marco Ballini;Chutham Sawigun;Wen-Yang Hsu;Jan-Willem Weijers;Jan Putzeys;Carolina Mora Lopez

IEEE Journal of Solid-State Circuits
Year: 2023 | Volume: 58, Issue: 4 | Journal Article |
Cited by: Papers (15)
The current demand for high-channel-count neural-recording interfaces calls for more area- and power-efficient readout architectures that do not compromise other electrical performances. In this article, we present a miniature 128-channel neural recording integrated circuit (NRIC) for the simultaneous acquisition of local field potentials (LFPs) and action potentials (APs), which can achieve a ver...Show More

An AC-Coupled 1st-Order Δ-ΔΣ Readout IC for Area-Efficient Neural Signal Acquisition

Xiaolin Yang;Marco Ballini;Chutham Sawigun;Wen-Yang Hsu;Jan-Willem Weijers;Jan Putzeys;Carolina Mora Lopez

Year: 2023 | Volume: 58, Issue: 4 | Journal Article |

A sub-nW scalable nMOS voltage reference with multi-loop regulation achieving 0.0126%/V line sensitivity

Chutham Sawigun;Xiaolin Yang;Andrea Lodi;Carolina Mora Lopez

2022 IEEE Asian Solid-State Circuits Conference (A-SSCC)
Year: 2022 | Conference Paper |
Cited by: Papers (10)
The extremely low-power and small-area system requirements of nowadays biomedical and internet-of-thing (IoT) applications have increased the demand for always-on, ultra-small voltage reference (VR) generators. Such VRs must consume very low power, generate a stable voltage that is independent of process, supply voltage (V_{DD}) and temperature variations, and operate at low VDD. To overcome the...Show More

A sub-nW scalable nMOS voltage reference with multi-loop regulation achieving 0.0126%/V line sensitivity

Chutham Sawigun;Xiaolin Yang;Andrea Lodi;Carolina Mora Lopez

Year: 2022 | Conference Paper |

Actively Multiplexed μECoG Brain Implant System With Incremental-ΔΣ ADCs Employing Bulk-DACs

Xiaohua Huang;Horacio Londoño-Ramírez;Marco Ballini;Chris Van Hoof;Jan Genoe;Sebastian Haesler;Georges Gielen;Nick Van Helleputte;Carolina Mora Lopez

IEEE Journal of Solid-State Circuits
Year: 2022 | Volume: 57, Issue: 11 | Journal Article |
Cited by: Papers (14)
Fundamental neuroscience research and high-performance neuro-prostheses require large-scale brain interfaces with ever-greater spatial resolution across a large cortex coverage, which cannot be achieved with current passive (micro) electrocorticography (ECoG) technologies. In this article, we present an active micro-electrocorticography ( \mu ECoG) implant system that circumvents these challeng...Show More

Actively Multiplexed μECoG Brain Implant System With Incremental-ΔΣ ADCs Employing Bulk-DACs

Xiaohua Huang;Horacio Londoño-Ramírez;Marco Ballini;Chris Van Hoof;Jan Genoe;Sebastian Haesler;Georges Gielen;Nick Van Helleputte;Carolina Mora Lopez

Year: 2022 | Volume: 57, Issue: 11 | Journal Article |

A 128-Channel AC-Coupled 1st-order Δ-Δ∑ IC for Neural Signal Acquisition

Xiaolin Yang;Marco Ballini;Chutham Sawigun;Wen-Yang Hsu;Jan-Willem Weijers;Jan Putzeys;Carolina Mora Lopez

2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
Year: 2022 | Conference Paper |
Cited by: Papers (12)
In this paper, we present a miniature 128-channel neural recording IC (NRIC) for the simultaneous acquisition of local field potentials (LFPs) and action potentials (APs). An AC-coupled 1st-order Δ-ΔΣ architecture is proposed to achieve rail-to-rail electrode DC offset rejection, low power and small area, while providing low noise and larger input range compared to other AC-coupled designs. This d...Show More

A 128-Channel AC-Coupled 1st-order Δ-Δ∑ IC for Neural Signal Acquisition

Xiaolin Yang;Marco Ballini;Chutham Sawigun;Wen-Yang Hsu;Jan-Willem Weijers;Jan Putzeys;Carolina Mora Lopez

Year: 2022 | Conference Paper |

A 256-Channel Actively-Multiplexed µECoG Implant with Column-Parallel Incremental \Delta\Sigma ADCs Employing Bulk-DACs in 22-nm FDSOI Technology

Xiaohua Huang;Horacio Londoño-Ramírez;Marco Ballini;Chris Van Hoof;Jan Genoe;Sebastian Haesler;Georges Gielen;Nick Van Helleputte;Carolina Mora Lopez

2022 IEEE International Solid-State Circuits Conference (ISSCC)
Year: 2022 | Conference Paper |
Cited by: Papers (9)
Electrocorticography (ECoG) recording is a non-penetrating electrophysiology technique that achieves a good balance between spatial resolution, brain coverage and invasiveness [1]. For this reason, it is widely used for the diagnosis of neural disorders and holds promise for prosthetic applications. Although ECoG electrodes have been until recently quite large (~4mm diameter), several studies have...Show More

A 256-Channel Actively-Multiplexed µECoG Implant with Column-Parallel Incremental \Delta\Sigma ADCs Employing Bulk-DACs in 22-nm FDSOI Technology

Xiaohua Huang;Horacio Londoño-Ramírez;Marco Ballini;Chris Van Hoof;Jan Genoe;Sebastian Haesler;Georges Gielen;Nick Van Helleputte;Carolina Mora Lopez

Year: 2022 | Volume: 65 | Conference Paper |

A Compact, Low-Power Analog Front-End With Event-Driven Input Biasing for High-Density Neural Recording in 22-nm FDSOI

Xiaohua Huang;Marco Ballini;Shiwei Wang;Beatrice Miccoli;Chris van Hoof;Georges Gielen;Jan Craninckx;Nick van Helleputte;Carolina Mora Lopez

IEEE Transactions on Circuits and Systems II: Express Briefs
Year: 2022 | Volume: 69, Issue: 3 | Journal Article |
Cited by: Papers (12)
An ultra-small-area, low-power analog front-end (AFE) for high-density neural recording is presented in this brief. It features an 11-bit incremental delta-sigma analog-to-digital converter ( \Delta \Sigma ADC) enhanced with an offset-rejecting event-driven input biasing network. This network avoids saturation of the ADC input caused by leakage of the input-coupling capacitor implemented in an...Show More

A Compact, Low-Power Analog Front-End With Event-Driven Input Biasing for High-Density Neural Recording in 22-nm FDSOI

Xiaohua Huang;Marco Ballini;Shiwei Wang;Beatrice Miccoli;Chris van Hoof;Georges Gielen;Jan Craninckx;Nick van Helleputte;Carolina Mora Lopez

Year: 2022 | Volume: 69, Issue: 3 | Journal Article |

RRAM-Based STDP Network for Edge Computing in Wearable/Implantable Devices

Yukai Shen;Shiwei Wang;Carolina Mora Lopez

2021 18th International SoC Design Conference (ISOCC)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
With the technology advancement of wearable and implantable devices, the demand is increasing for low power computing circuits that allow processing of the acquired data on the edge to shorten the response time and save data bandwidth. Resistive-memory-based computing circuits have attracted broad interests due to their potential to implement low-power computing-in-memory macros and neuromorphic p...Show More

RRAM-Based STDP Network for Edge Computing in Wearable/Implantable Devices

Yukai Shen;Shiwei Wang;Carolina Mora Lopez

Year: 2021 | Conference Paper |

A Compact Chopper Stabilized Δ-ΔΣ Neural Readout IC With Input Impedance Boosting

Shiwei Wang;Marco Ballini;Xiaolin Yang;Chutham Sawigun;Jan-Willem Weijers;Dwaipayan Biswas;Nick Van Helleputte;Carolina Mora Lopez

IEEE Open Journal of the Solid-State Circuits Society
Year: 2021 | Volume: 1 | Journal Article |
Cited by: Papers (20)
This paper presents a scalable neural recording analog front-end architecture enabling simultaneous acquisition of action potentials, local field potentials, electrode DC offsets and stimulation artifacts without saturation. By combining a DC-coupled \Delta - \Delta \Sigma architecture with new bootstrapping and chopping schemes, the proposed readout IC achieves an area of 0.0077 mm2 per c...Show More

A Compact Chopper Stabilized Δ-ΔΣ Neural Readout IC With Input Impedance Boosting

Shiwei Wang;Marco Ballini;Xiaolin Yang;Chutham Sawigun;Jan-Willem Weijers;Dwaipayan Biswas;Nick Van Helleputte;Carolina Mora Lopez

Year: 2021 | Volume: 1 | Journal Article |

A 77-dB DR 16-Ch 2nd-order Δ-ΔΣ Neural Recording Chip with 0.0077mm2/Ch

Shiwei Wang;Marco Ballini;Xiaolin Yang;Chutham Sawigun;Jan-Willem Weijers;Dwaipayan Biswas;Carolina Mora Lopez

2021 Symposium on VLSI Circuits
Year: 2021 | Conference Paper |
Cited by: Papers (8)
This paper presents a scalable 16-channel neural recording chip enabling simultaneous acquisition of action-potentials (APs), local-field potentials (LFPs), electrode DC offsets (EDOs) and stimulation artifacts (SAs) without saturation. By combining a DC-coupled Δ-ΔΣ architecture with new bootstrapping and chopping schemes, the proposed readout IC achieves an area of 0.0077mm2 per channel, an inpu...Show More

A 77-dB DR 16-Ch 2nd-order Δ-ΔΣ Neural Recording Chip with 0.0077mm2/Ch

Shiwei Wang;Marco Ballini;Xiaolin Yang;Chutham Sawigun;Jan-Willem Weijers;Dwaipayan Biswas;Carolina Mora Lopez

Year: 2021 | Conference Paper |

The Neuropixels probe: A CMOS based integrated microsystems platform for neuroscience and brain-computer interfaces

B. Dutta;A. Andrei;T. D. Harris;C. M. Lopez;J. O’Callahan;J. Putzeys;B. C. Raducanu;S. Severi;S. D. Stavisky;E. M. Trautmann;M. Welkenhuysen;K. V. Shenoy

2019 IEEE International Electron Devices Meeting (IEDM)
Year: 2019 | Conference Paper |
Cited by: Papers (21)
We review recent progress in neural probes for brain recording, with a focus on the Neuropixels platform. Historically the number of neurons' recorded simultaneously, follows a Moore's law like behavior, with numbers doubling every 6.7 years. Using traditional techniques of probe fabrication, continuing to scale up electrode densities is very challenging. We describe a custom CMOS process technolo...Show More

The Neuropixels probe: A CMOS based integrated microsystems platform for neuroscience and brain-computer interfaces

B. Dutta;A. Andrei;T. D. Harris;C. M. Lopez;J. O’Callahan;J. Putzeys;B. C. Raducanu;S. Severi;S. D. Stavisky;E. M. Trautmann;M. Welkenhuysen;K. V. Shenoy

Year: 2019 | Conference Paper |

Design and fabrication of CMOS-based neural probes for large-scale electrophysiology

C. M. Lopez;A. Andrei;S. Wang;R. Van Hoof;S. Severi;N. Van Helleputte

2019 IEEE International Electron Devices Meeting (IEDM)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
Large-scale neural recording requires more advanced and denser brain interfaces. This paper describes the design and fabrication of the CMOS-based Neuropixels neural probe, which integrates a high-density micro-electrode array and a high channel count to enable large-scale electrophysiology in small animals. Miniaturization and scalability aspects are also discussed here.Show More

Design and fabrication of CMOS-based neural probes for large-scale electrophysiology

C. M. Lopez;A. Andrei;S. Wang;R. Van Hoof;S. Severi;N. Van Helleputte

Year: 2019 | Conference Paper |

A Compact Quad-Shank CMOS Neural Probe With 5,120 Addressable Recording Sites and 384 Fully Differential Parallel Channels

Shiwei Wang;Seyed Kasra Garakoui;Hosung Chun;Didac Gomez Salinas;Wim Sijbers;Jan Putzeys;Ewout Martens;Jan Craninckx;Nick Van Helleputte;Carolina Mora Lopez

IEEE Transactions on Biomedical Circuits and Systems
Year: 2019 | Volume: 13, Issue: 6 | Journal Article |
Cited by: Papers (53)
Large-scale in vivo electrophysiology requires tools that enable simultaneous recording of multiple brain regions at single-neuron level. This calls for the design of more compact neural probes that offer even larger arrays of addressable sites and high channel counts. With this aim, we present in this paper a quad-shank approach to integrate as many as 5,120 sites on a single probe. Compact fully...Show More

A Compact Quad-Shank CMOS Neural Probe With 5,120 Addressable Recording Sites and 384 Fully Differential Parallel Channels

Shiwei Wang;Seyed Kasra Garakoui;Hosung Chun;Didac Gomez Salinas;Wim Sijbers;Jan Putzeys;Ewout Martens;Jan Craninckx;Nick Van Helleputte;Carolina Mora Lopez

Year: 2019 | Volume: 13, Issue: 6 | Journal Article |

Investigation of the Stimulation Capabilities of a High-Resolution Neurorecording Probe for the Application of Closed-Loop Deep Brain Stimulation

Thomas Tarnaud;Emmeric Tanghe;Sebastian Haesler;Carolina Mora Lopez;Luc Martens;Wout Joseph

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2018 | Conference Paper |
Deep brain stimulation is an established surgical treatment for several neurological and movement disorders, such as Parkinson's disease, in which electrostimulation is applied to targeted deep nuclei in the basal ganglia through implanted electrode leads. Recent technological improvements in the field have focused on the theoretical advantage of current steering and adaptive (closed-loop) deep br...Show More

Investigation of the Stimulation Capabilities of a High-Resolution Neurorecording Probe for the Application of Closed-Loop Deep Brain Stimulation

Thomas Tarnaud;Emmeric Tanghe;Sebastian Haesler;Carolina Mora Lopez;Luc Martens;Wout Joseph

Year: 2018 | Conference Paper |

A Multimodal CMOS MEA for High-Throughput Intracellular Action Potential Measurements and Impedance Spectroscopy in Drug-Screening Applications

Carolina Mora Lopez;Ho Sung Chun;Shiwei Wang;Laurent Berti;Jan Putzeys;Carl Van Den Bulcke;Jan-Willem Weijers;Andrea Firrincieli;Veerle Reumers;Dries Braeken;Nick Van Helleputte

IEEE Journal of Solid-State Circuits
Year: 2018 | Volume: 53, Issue: 11 | Journal Article |
Cited by: Papers (80)
Multi-electrode arrays (MEAs) are a candidate technology to screen cardiotoxicity in vitro because they enable noninvasive recording of cardiac beating rate, electrical field potential duration, and other parameters. In this paper, we present an active MEA chip featuring 16 384 electrodes, 1024 simultaneous readout channels, and 64 stimulation units (SUs) to enable six different cell-interfacing m...Show More

A Multimodal CMOS MEA for High-Throughput Intracellular Action Potential Measurements and Impedance Spectroscopy in Drug-Screening Applications

Carolina Mora Lopez;Ho Sung Chun;Shiwei Wang;Laurent Berti;Jan Putzeys;Carl Van Den Bulcke;Jan-Willem Weijers;Andrea Firrincieli;Veerle Reumers;Dries Braeken;Nick Van Helleputte

Year: 2018 | Volume: 53, Issue: 11 | Journal Article |

Time multiplexed active neural probe with 678 parallel recording sites

Bogdan C. Raducanu;Refet F. Yazicioglu;Carolina M. Lopez;Marco Ballini;Jan Putzeys;Shiwei Wang;Alexandru Andrei;Marleen Welkenhuysen;Nick van Helleputte;Silke Musa;Robert Puers;Fabian Kloosterman;Chris van Hoof;Srinjoy Mitra

2016 46th European Solid-State Device Research Conference (ESSDERC)
Year: 2016 | Conference Paper |
We present a high density CMOS neural probe with active electrodes (pixels), consisting of dedicated in-situ circuits for signal source amplification. The complete probe contains 1356 neuron sized (20×20 μm2) pixels densely packed on a 50 μm thick, 100 μm wide and 8 mm long shank. It allows simultaneous high-performance recording from 678 electrodes and a possibility to simultaneously observe all ...Show More

Time multiplexed active neural probe with 678 parallel recording sites

Bogdan C. Raducanu;Refet F. Yazicioglu;Carolina M. Lopez;Marco Ballini;Jan Putzeys;Shiwei Wang;Alexandru Andrei;Marleen Welkenhuysen;Nick van Helleputte;Silke Musa;Robert Puers;Fabian Kloosterman;Chris van Hoof;Srinjoy Mitra

Year: 2016 | Conference Paper |

22.7 A 966-electrode neural probe with 384 configurable channels in 0.13µm SOI CMOS

Carolina Mora Lopez;Srinjoy Mitra;Jan Putzeys;Bogdan Raducanu;Marco Ballini;Alexandru Andrei;Simone Severi;Marleen Welkenhuysen;Chris Van Hoof;Silke Musa;Refet Firat Yazicioglu

2016 IEEE International Solid-State Circuits Conference (ISSCC)
Year: 2016 | Conference Paper |
In vivo recording of neural action-potential (AP) and local-field-potential (LFP) signals requires the use of high-resolution penetrating probes. Driven by the need for large-scale recording and minimal tissue damage, a technology roadmap has been defined for next-generation probes aiming to maximize the number of recording sites while minimizing the probe dimensions [1]. In this paper we present ...Show More

22.7 A 966-electrode neural probe with 384 configurable channels in 0.13µm SOI CMOS

Carolina Mora Lopez;Srinjoy Mitra;Jan Putzeys;Bogdan Raducanu;Marco Ballini;Alexandru Andrei;Simone Severi;Marleen Welkenhuysen;Chris Van Hoof;Silke Musa;Refet Firat Yazicioglu

Year: 2016 | Conference Paper |

Ultra-high-density in-vivo neural probes

Firat Yazicioglu;Carolina Mora Lopez;Srinjoy Mitra;Bogdan Raducanu;Silke Musa;Fabian Kloosterman

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2014 | Conference Paper |
Cited by: Papers (8)
The past decade has witnessed an explosive growth in our ability to observe and measure brain activity. Among different functional brain imaging techniques, the electrical measurement of neural activity using neural probes provides highest temporal resolution. Yet, the electrode density and the observability of currently available neural probe technologies fall short of the density of neurons in t...Show More

Ultra-high-density in-vivo neural probes

Firat Yazicioglu;Carolina Mora Lopez;Srinjoy Mitra;Bogdan Raducanu;Silke Musa;Fabian Kloosterman

Year: 2014 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.