A5007371516- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Advanced Memory and Neural Computing
- EEG and Brain-Computer Interfaces
- Electrochemical Analysis and Applications
- Analytical Chemistry and Sensors
- Photoreceptor and optogenetics research
- Analog and Mixed-Signal Circuit Design
- 3D Printing in Biomedical Research
- Gas Sensing Nanomaterials and Sensors
- Microfluidic and Bio-sensing Technologies
- Neural Networks and Applications
- CCD and CMOS Imaging Sensors
- Advanced Chemical Sensor Technologies
- Blind Source Separation Techniques
- Muscle activation and electromyography studies
- Phase-change materials and chalcogenides
- Sensor Technology and Measurement Systems
- Semiconductor materials and devices
- Microbial Inactivation Methods
- Neonatal Respiratory Health Research
- Neuroscience and Neuropharmacology Research
- Carbon Nanotubes in Composites
- Cell Image Analysis Techniques
- Molecular Communication and Nanonetworks
Maxwell Technologies (Switzerland)
2017-2024
ETH Zurich
2011-2022
RIKEN Center for Computational Science
2012-2020
Quantitative Biology Center
2014-2019
Ube Frontier University
2015-2016
Osaka University
2014-2016
IBM Research - Zurich
2010-2013
IBM (United States)
2010-2013
RIKEN Center for Biosystems Dynamics Research
2013
Board of the Swiss Federal Institutes of Technology
2010
Studies on information processing and learning properties of neuronal networks would benefit from simultaneous parallel access to the activity a large fraction all neurons in such networks. Here, we present CMOS-based device, capable simultaneously recording electrical over thousand cells vitro The device provides sufficiently high spatiotemporal resolution enable, at same time, preparations subcellular, cellular, network level. key feature is rapidly reconfigurable array 26 400...
To advance our understanding of the functioning neuronal ensembles, systems are needed to enable simultaneous recording from a large number individual neurons at high spatiotemporal resolution and good signal-to-noise ratio. Moreover, stimulation capability is highly desirable for investigating, example, plasticity learning processes. Here, we present microelectrode array (MEA) system on single CMOS die in vitro stimulation. The incorporates 26,400 platinum electrodes, fabricated by in-house...
We report on a CMOS-based microelectrode array (MEA) featuring 11, 011 metal electrodes and 126 channels, each of which comprises recording stimulation electronics, for extracellular bidirectional communication with electrogenic cells, such as neurons or cardiomyocytes. The important features include: (i) high spatial resolution at (sub)cellular level 3150 per mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (electrode diameter 7 ¿m,...
Complementary semiconductor-metal-oxide (CMOS) technology is a very powerful that can be more or less directly interfaced to electrogenic cells, like heart brain cells in vitro. To this end, the are cultured atop CMOS chips, which usually undergo dedicated postprocessing obtain reliable bidirectional interface via noble-metal microelectrodes high-k dielectrics. The big advantages of using integrated circuits (ICs) include connectivity, possibility address large number on tiny chip, and...
Advances in microfabrication technology have enabled the production of devices containing arrays thousands closely spaced recording electrodes, which afford subcellular resolution electrical signals neurons and neuronal networks. Rationalizing electrode size configuration such demands consideration application-specific requirements inherent features electrodes. Tradeoffs among size, spatial density, sensitivity, noise, attenuation, other factors are inevitable. Although extracellular from...
Bursts of action potentials within neurons and throughout networks are believed to serve roles in how handle store information, both vivo vitro. Accurate detection burst occurrences durations therefore crucial for many studies. A number algorithms have been proposed do so, but a standard method has not adopted. This is due, part, requiring the adjustment multiple ad-hoc parameters further post-hoc criteria order produce satisfactory results. Here, we broadly catalog existing approaches...
Abstract Chronic imaging of neuronal networks in vitro has provided fundamental insights into mechanisms underlying function. Current labeling and optical methods, however, cannot be used for continuous long-term recordings the dynamics evolution networks, as fluorescent indicators can cause phototoxicity. Here, we introduce a versatile platform label-free, comprehensive detailed electrophysiological live-cell various neurogenic cells tissues over extended time scales. We report on dual-mode...
Non-invasive electrical stimulation can be used to study and control neural activity in the brain or alleviate somatosensory dysfunctions. One intriguing prospect is precisely stimulate individual targeted neurons. Here, we investigated single-neuron current voltage vitro using high-density microelectrode arrays featuring 26'400 bidirectional electrodes at a pitch of 17.5 µm an electrode area 5 × 9 µm². We determined optimal waveforms, amplitudes durations for both modes. Owing high spatial...
Emerging complementary metal oxide semiconductor (CMOS)-based, high-density microelectrode array (HD-MEA) devices provide high spatial resolution at subcellular level and a large number of readout channels. These allow for simultaneous recording extracellular activity neurons with every neuron being detected by multiple electrodes. To analyze the recorded signals, spiking events have to be assigned individual neurons, process referred as "spike sorting." For set observed which constitute...
We present a novel, all-electric approach to record and precisely control the activity of tens individual presynaptic neurons. The method allows for parallel mapping efficacy multiple synapses resulting dynamics postsynaptic neurons in cortical culture. For measurements, we combine an extracellular high-density microelectrode array, featuring 11'000 electrodes recording stimulation, with intracellular patch-clamp recording. are able identify contributions - including inhibitory excitatory...
Abstract Extracellular voltage fields, produced by a neuron's action potentials, provide widely used means for studying neuronal and neuronal‐network function. The soma dendrites are thought to drive the extracellular potential (EAP) landscape, while axon's contribution is usually considered less important. However, recording voltages of single neurons in dissociated rat cortical cultures Purkinje cells acute mouse cerebellar slices through hundreds densely packed electrodes, it found,...
Electrophysiological research on neural networks and their activity focuses the recording analysis of large data sets that include information thousands neurons. CMOS microelectrode arrays (MEAs) feature electrodes at a spatial resolution scale single cells are, therefore, ideal tools to support neural-network research. Moreover, they offer high spatio-temporal signal-to-noise ratio (SNR) capture all features subcellular-resolution details neuronal signaling. Here, we present dual-mode (DM)...
We present a comprehensive investigation of noise in multi-bit phase-change memory (PCM). The impact on data integrity was quantified with combination experiments and simulations. A prototype chip fabricated to support our system-level analysis, which shows that raw bit error rate ~10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup> is achievable at 3-bit/cell. At the circuit level, we identified line capacitance voltage regulator as...
Electric signal processing has evolved to manage rapid information transfer in neuronal networks and muscular contraction multicellular organisms controls the most sophisticated man-built devices. Using a synthetic biology approach assemble electronic parts with genetic control units engineered into mammalian cells, we designed an electric power-adjustable transcription circuit able integrate intensity of direct current over time, translate amplitude or frequency alternating adjustable...
A fully integrated 256-Mcell multi-level cell (MLC) phase-change memory (PCM) chip in 90-nm CMOS technology is presented. The on-chip circuitry supports fast MLC operation at 4 bit/cell. programmable digital controller used to optimize closed-loop gain and timing of the iterative programming scheme two power-efficient 8-bit DACs support current-controlled as well voltage-controlled write pulses. read-out consists a low-power auto-range frontend followed by 6-bit cyclic ADC that converts...
Many biomarkers including neurotransmitters are found in external body fluids, such as sweat or saliva, but at lower titration levels than they present blood. Efficient detection of thus requires, on the one hand, to use techniques offering high sensitivity, and, other a miniaturized format carry out diagnostics minimally invasive way. Here, we hybrid integration bottom-up silicon-nanowire Schottky-junction FETs (SiNW SJ-FETs) with complementary-metal-oxide-semiconductor (CMOS) readout and...
A monolithic gas sensor array fabricated in industrial CMOS technology combined with post-CMOS micromachining is presented. The device comprises an of three metal-oxide-coated micro-hotplates integrated MOS transistor heaters and the needed driving signal-conditioning circuitry. Three digital PID controllers enable individual temperature regulation for each hotplate. operating SnO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>...
Carbon‐nanotube (CNT)‐based sensors offer the potential to detect single‐molecule events and picomolar analyte concentrations. An important step toward applications of such nanosensors is their integration in large arrays. The availability arrays would enable multiplexed parallel sensing, simultaneously obtained sensor signals facilitate statistical analysis. A reliable method fabricate an array 1024 CNT‐based on a fully processed complementary‐metal‐oxide‐semiconductor microsystem...