Spike sorting: new trends and challenges of the era of high-density probes

AP Buccino, S Garcia, P Yger - Progress in Biomedical …, 2022 - iopscience.iop.org
Recording from a large neuronal population of neurons is a crucial challenge to unravel how
information is processed by the brain. In this review, we highlight the recent advances made …

Dreamr: Diffusion-driven counterfactual explanation for functional mri

HA Bedel, T Çukur - IEEE Transactions on Medical Imaging, 2024 - ieeexplore.ieee.org
Deep learning analyses have offered sensitivity leaps in detection of cognition-related
variables from functional MRI (fMRI) measurements of brain responses. Yet, as deep models …

Computational cardiac physiology for new modelers: Origins, foundations, and future

JT Koivumäki, J Hoffman, MM Maleckar… - Acta …, 2022 - Wiley Online Library
Mathematical models of the cardiovascular system have come a long way since they were
first introduced in the early 19th century. Driven by a rapid development of experimental …

High-density extracellular probes reveal dendritic backpropagation and facilitate neuron classification

X Jia, JH Siegle, C Bennett, SD Gale… - Journal of …, 2019 - journals.physiology.org
Different neuron types serve distinct roles in neural processing. Extracellular electrical
recordings are extensively used to study brain function but are typically blind to cell identity …

Electrophysiological phenotype characterization of human iPSC‐derived neuronal cell lines by means of high‐density microelectrode arrays

S Ronchi, AP Buccino, G Prack, SS Kumar… - Advanced …, 2021 - Wiley Online Library
Recent advances in the field of cellular reprogramming have opened a route to studying the
fundamental mechanisms underlying common neurological disorders. High‐density …

Three-dimensional spike localization and improved motion correction for Neuropixels recordings

J Boussard, E Varol, HD Lee… - Advances in Neural …, 2021 - proceedings.neurips.cc
Neuropixels (NP) probes are dense linear multi-electrode arrays that have rapidly become
essential tools for studying the electrophysiology of large neural populations. Unfortunately …

Interfacing brain organoids with precision medicine and machine learning

H Zheng, Y Feng, J Tang, S Ma - Cell Reports Physical Science, 2022 - cell.com
The brain is a complex organ that plays a central role in human activities. Brain organoid
modeling is an advanced technique for studying brain development, physiology, function …

Mearec: a fast and customizable testbench simulator for ground-truth extracellular spiking activity

AP Buccino, GT Einevoll - Neuroinformatics, 2021 - Springer
When recording neural activity from extracellular electrodes, both in vivo and in vitro, spike
sorting is a required and very important processing step that allows for identification of single …

Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings

Z Ye, AM Shelton, JR Shaker, J Boussard, J Colonell… - …, 2024 - pmc.ncbi.nlm.nih.gov
To understand the neural basis of behavior, it is essential to sensitively and accurately
measure neural activity at single neuron and single spike resolution. Extracellular …

[图书][B] Electric brain signals: foundations and applications of biophysical modeling

G Halnes, TV Ness, S Næss, E Hagen, KH Pettersen… - 2024 - books.google.com
It is common to study the electric activity of neurons by measuring the electric potential in the
extracellular space of the brain. However, interpreting such measurements requires …