Related references
Note: Only part of the references are listed.Survey of spiking in the mouse visual system reveals functional hierarchy
Joshua H. Siegle et al.
NATURE (2021)
SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters
Jeremy Magland et al.
ELIFE (2020)
The sifting of visual information in the superior colliculus
Kyu Hyun Lee et al.
ELIFE (2020)
Spontaneous behaviors drive multidimensional, brainwide activity
Carsen Stringer et al.
SCIENCE (2019)
Can One Concurrently Record Electrical Spikes from Every Neuron in a Mammalian Brain?
David Kleinfeld et al.
NEURON (2019)
CMOS Inverter as Analog Circuit: An Overview
Woorham Bae
JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS (2019)
A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo
Pierre Yger et al.
ELIFE (2018)
In Vitro Multi-Functional Microelectrode Array Featuring 59 760 Electrodes, 2048 Electrophysiology Channels, Stimulation, Impedance Measurement, and Neurotransmitter Detection Channels
Jelena Dragas et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2017)
A Neural Probe With Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 μm SOI CMOS
Carolina Mora Lopez et al.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2017)
Fully integrated silicon probes for high-density recording of neural activity
James J. Jun et al.
NATURE (2017)
Time Multiplexed Active Neural Probe with 1356 Parallel Recording Sites
Bogdan C. Raducanu et al.
SENSORS (2017)
Validation of neural spike sorting algorithms without ground-truth information
Alex H. Barnett et al.
JOURNAL OF NEUROSCIENCE METHODS (2016)
Nanofabricated Neural Probes for Dense 3-D Recordings of Brain Activity
Gustavo Rios et al.
NANO LETTERS (2016)
High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels
Jan Mueller et al.
LAB ON A CHIP (2015)
Photoelectric artefact from optogenetics and imaging on microelectrodes and bioelectronics: new challenges and opportunities
Takashi D. Y. Kozai et al.
JOURNAL OF MATERIALS CHEMISTRY B (2015)
Revealing neuronal function through microelectrode array recordings
Marie Engelene J. Obien et al.
FRONTIERS IN NEUROSCIENCE (2015)
Energy-Efficient Multi-Mode Compressed Sensing System for Implantable Neural Recordings
Yuanming Suo et al.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2014)
CMOS-Based High-Density Silicon Microprobe Arrays for Electronic Depth Control in Intracortical Neural Recording-Characterization and Application
Karsten Seidl et al.
JOURNAL OF MICROELECTROMECHANICAL SYSTEMS (2012)
The Spiking Component of Oscillatory Extracellular Potentials in the Rat Hippocampus
Erik W. Schomburg et al.
JOURNAL OF NEUROSCIENCE (2012)
CMOS-Based High-Density Silicon Microprobe Arrays for Electronic Depth Control in Intracortical Neural Recording
Karsten Seidl et al.
JOURNAL OF MICROELECTROMECHANICAL SYSTEMS (2011)
The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface
Farzaneh Shahrokhi et al.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2010)
Signal processing challenges for neural prostheses
Michael D. Linderman et al.
IEEE SIGNAL PROCESSING MAGAZINE (2008)
A three-dimensional neural recording microsystem with implantable data compression circuitry
RH Olsson et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2005)
A 128x128 CMOS biosensor array for extracellular recording of neural activity
B Eversmann et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2003)
An energy budget for signaling in the grey matter of the brain
D Attwell et al.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM (2001)
Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements
KD Harris et al.
JOURNAL OF NEUROPHYSIOLOGY (2000)