Electrophysiological analysis of brain organoids: current approaches and advancements
AP Passaro, SL Stice - Frontiers in Neuroscience, 2021 - frontiersin.org
Brain organoids, or cerebral organoids, have become widely used to study the human brain
in vitro. As pluripotent stem cell-derived structures capable of self-organization and …
in vitro. As pluripotent stem cell-derived structures capable of self-organization and …
SpikeInterface, a unified framework for spike sorting
AP Buccino, CL Hurwitz, S Garcia, J Magland… - Elife, 2020 - elifesciences.org
Much development has been directed toward improving the performance and automation of
spike sorting. This continuous development, while essential, has contributed to an over …
spike sorting. This continuous development, while essential, has contributed to an over …
Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey
T Zhang, MR Azghadi, C Lammie… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Spike sorting is a set of techniques used to analyze extracellular neural
recordings, attributing individual spikes to individual neurons. This field has gained …
recordings, attributing individual spikes to individual neurons. This field has gained …
Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices
Spike sorting is one of the most important data analysis problems in neurophysiology. The
precision in all steps of the spike-sorting procedure critically affects the accuracy of all …
precision in all steps of the spike-sorting procedure critically affects the accuracy of all …
Motor-commands decoding using peripheral nerve signals: a review
During the last few decades, substantial scientific and technological efforts have been
focused on the development of neuroprostheses. The major emphasis has been on …
focused on the development of neuroprostheses. The major emphasis has been on …
From end to end: Gaining, sorting, and employing high-density neural single unit recordings
The meaning behind neural single unit activity has constantly been a challenge, so it will
persist in the foreseeable future. As one of the most sourced strategies, detecting neural …
persist in the foreseeable future. As one of the most sourced strategies, detecting neural …
The cellular and molecular basis of in vivo synaptic plasticity in rodents
JE Cheyne, JM Montgomery - American Journal of …, 2020 - journals.physiology.org
Plasticity within the neuronal networks of the brain underlies the ability to learn and retain
new information. The initial discovery of synaptic plasticity occurred by measuring synaptic …
new information. The initial discovery of synaptic plasticity occurred by measuring synaptic …
Confocal Imaging and k-Means Clustering of GABAB and mGluR Mediated Modulation of Ca2+ Spiking in Hippocampal Neurons
Imaging cytosolic calcium in neurons is emerging as a new tool in neurological disease
diagnosis, drug screening, and toxicity testing. Ca2+ oscillation signatures show a …
diagnosis, drug screening, and toxicity testing. Ca2+ oscillation signatures show a …
Power-efficient spike sorting scheme using analog spiking neural network classifier
AK Mukhopadhyay, A Sharma, I Chakrabarti… - ACM Journal on …, 2021 - dl.acm.org
The method to map the neural signals to the neuron from which it originates is spike sorting.
A low-power spike sorting system is presented for a neural implant device. The spike sorter …
A low-power spike sorting system is presented for a neural implant device. The spike sorter …
Interpreting cluster structure in waveform data with visual assessment and Dunn's index
Dunn's index was introduced in 1974 as a way to define and identify a “best” crisp partition
on n objects represented by either unlabeled feature vectors or dissimilarity matrix data. This …
on n objects represented by either unlabeled feature vectors or dissimilarity matrix data. This …