A Detailed and Fast Model of Extracellular Recordings

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Neural Computation

• Publication date

  2013-04-02

• Fields of study

  Medicine, Physics, Computer Science, Engineering

• Identifiers
  DOI 10.1162/NECO_a_00433PMID 23470125
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Revealing neuronal function through microelectrode array recordings

  2015cited by this paper
• Spatial information in large-scale neural recordings

  2014cited by this paper
• An Analogue Front-End Model for Developing Neural Spike Sorting Systems

  2014cited by this paper
• Minimum requirements for accurate and efficient real-time on-chip spike sorting.

  2014cited by this paper
• Two-population model for medial temporal lobe neurons: The vast majority are almost silent.

  2014cited by this paper
• Modelling and analysis of local field potentials for studying the function of cortical circuits

  2013cited by this paper
• Do neurons generate monopolar current sources?

  2012cited by this paper
• Pitfalls in the dipolar model for the neocortical EEG sources.

  2012cited by this paper
• Towards reliable spike-train recordings from thousands of neurons with multielectrodes.

  2012cited by this paper
• Spike Sorting: The First Step in Decoding the Brain: The first step in decoding the brain

  2012cited by this paper
• NeuroQuest: a comprehensive analysis tool for extracellular neural ensemble recordings.

  2012cited by this paper
• Concept cells: the building blocks of declarative memory functions

  2012cited by this paper
• Theoretical analysis of intracortical microelectrode recordings

  2011cited by this paper
• Modeling the spatial reach of the LFP.

  2011cited by this paper
• Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

  2011cited by this paper
• Dipole characterization of single neurons from their extracellular action potentials

  2011cited by this paper
• Quality Metrics to Accompany Spike Sorting of Extracellular Signals

  2011cited by this paper
• Dark Matter

  2011cited by this paper
• Selectivity of pyramidal cells and interneurons in the human medial temporal lobe.

  2011cited by this paper
• Do electrode properties create a problem in interpreting local field potential recordings?

  2010cited by this paper
• Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials

  2009cited by this paper
• ealistic simulation of extracellular recordings uan

  2009cited by this paper
• Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices.

  2009cited by this paper
• Review of signal distortion through metal microelectrode recording circuits and filters.

  2008cited by this paper
• Amplitude variability and extracellular low-pass filtering of neuronal spikes.

  2008cited by this paper
• Estimation of population firing rates and current source densities from laminar electrode recordings

  2008cited by this paper
• A tool for synthesizing spike trains with realistic interference.

  2007cited by this paper
• Multi-program approach for simulating recorded extracellular signals generated by neurons coupled to microelectrode arrays

  2007cited by this paper
• Decoding visual inputs from multiple neurons in the human temporal lobe.

  2007cited by this paper
• In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation.

  2007cited by this paper
• Using extracellular action potential recordings to constrain compartmental models

  2007cited by this paper
• Spike sorting

  2007cited by this paper
• How silent is the brain: is there a “dark matter” problem in neuroscience?

  2006cited by this paper
• Online detection and sorting of extracellularly recorded action potentials in human medial temporal lobe recordings, in vivo.

  2006cited by this paper
• On the origin of the extracellular action potential waveform: A modeling study.

  2006cited by this paper
• Quantitative measures of cluster quality for use in extracellular recordings.

  2005cited by this paper
• Invariant visual representation by single neurons in the human brain

  2005cited by this paper
• Characterization of synaptic conductances and integrative properties during electrically induced EEG-activated states in neocortical neurons in vivo.

  2005cited by this paper
• Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations

  2005cited by this paper
• UANTITATIVE MEASURES OF CLUSTER QUALITY FOR USE IN XTRACELLULAR RECORDINGS

  2005cited by this paper
• Model-based analysis of cortical recording with silicon microelectrodes.

  2005cited by this paper
• Polytrodes: high-density silicon electrode arrays for large-scale multiunit recording.

  2005cited by this paper
• Interneurons of the neocortical inhibitory system

  2004cited by this paper
• Recording spikes from a large fraction of the ganglion cells in a retinal patch

  2004cited by this paper
• Large-scale recording of neuronal ensembles

  2004cited by this paper
• Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering

  2004cited by this paper
• Modeling extracellular field potentials and the frequency-filtering properties of extracellular space.

  2003cited by this paper
• Test of spike-sorting algorithms on the basis of simulated network data

  2002cited by this paper
• Intracellular features predicted by extracellular recordings in the hippocampus in vivo.

  2000cited by this paper
• Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements.

  2000cited by this paper
• Simultaneous paired intracellular and tetrode recordings for evaluating the performance of spike sorting algorithms

  1999cited by this paper
• Electrical Interactions via the Extracellular Potential Near Cell Bodies

  1999cited by this paper
• Methods for Neural Ensemble Recordings

  1998cited by this paper
• Electrodes for Many Single Neuron Recordings

  1998cited by this paper
• A review of methods for spike sorting: the detection and classification of neural action potentials.

  1998cited by this paper
• Intracellular and computational characterization of the intracortical inhibitory control of synchronized thalamic inputs in vivo.

  1997cited by this paper
• The NEURON Simulation Environment

  1997cited by this paper
• In vivo, in vitro, and computational analysis of dendritic calcium currents in thalamic reticular neurons

  1996cited by this paper
• The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues.

  1996cited by this paper
• Tetrodes markedly improve the reliability and yield of multiple single-unit isolation from multi-unit recordings in cat striate cortex.

  1995cited by this paper
• NMDA-receptor channel diversity in the developing cerebellum

  1994cited by this paper
• Bayesian Modeling and Classification of Neural Signals

  1993cited by this paper
• Phase relationship between hippocampal place units and the EEG theta rhythm

  1993cited by this paper
• The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function.

  1988cited by this paper
• The stereotrode: a new technique for simultaneous isolation of several single units in the central nervous system from multiple unit records.

  1983cited by this paper
• The electrical properties of metal microelectrodes

  1968cited by this paper

• Transparent Transfer-Free Ultrasmall Multilayer Graphene Microelectrodes Enable High Quality Recordings in Brain Slices.

  2026cites this paper
• Transparent transfer-free multilayer graphene microelectrodes enable high quality recordings in brain slices

  2025cites this paper
• PseudoSorter: A self-supervised spike sorting approach applied to reveal Tau-induced reductions in neuronal activity

  2025influential citation
• Optimal inter-electrode distances for maximizing single unit yield per electrode in neural recordings

  2025cites this paper
• KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking

  2025cites this paper
• Spike sorting with Kilosort4

  2024cites this paper
• Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During Neuronal Signaling in a Model of Niemann–Pick Disease Type C

  2024cites this paper
• Deep learning-based spike sorting: a survey

  2024influential citation
• Spike Detection Performance of a Noise-Enhanced Nonlinear Filter Across Varied Neuron Distances

  2024cites this paper
• Graphene-based microelectrodes with bidirectional functionality for next-generation retinal electronic interfaces.

  2024cites this paper
• Selecting IRN for AFE to Achieve Power-Area-Noise Efficiency in Next-Generation Neural Implants

  2024cites this paper
• Computationally Efficient Unsupervised Online Spatial Spike Sorting Algorithm

  2024cites this paper
• Graphene-based microfluidic perforated microelectrode arrays for retinal electrophysiological studies.

  2023cites this paper
• Implantable intracortical microelectrodes: reviewing the present with a focus on the future

  2023cites this paper
• Advances in electrode interface materials and modification technologies for brain-computer interfaces

  2023cites this paper
• On-Chip Spike Detection and Classification using Neural Networks and Approximate Computing

  2023cites this paper
• Waveform-based classification of dentate spikes

  2023cites this paper
• A Bayesian approach for simultaneous spike/LFP separation and spike sorting

  2023influential citation
• Plasticity impairment exposes CA3 vulnerability in a hippocampal network model of mild traumatic brain injury

  2022cites this paper
• Approche bayésienne pour l’extraction et la classification de potentiels d’action

  2022cites this paper
• From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings

  2022influential citation
• A comparison of probe geometries for neuronal localization

  2022cites this paper
• Spike sorting: new trends and challenges of the era of high-density probes

  2022cites this paper
• Online spike sorting via deep contractive autoencoder

  2021cites this paper
• Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays

  2021cites this paper
• Comparison of Sneo-Based Neural Spike Detection Algorithms for Implantable Multi-Transistor Array Biosensors

  2021influential citation
• A 10.8 µW Neural Signal Recorder and Processor With Unsupervised Analog Classifier for Spike Sorting

  2021cites this paper
• SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters

  2020cites this paper
• SpikeForest: reproducible web-facing ground-truth validation of automated neural spike sorters

  2020cites this paper
• Fast simulation of extracellular action potential signatures based on a morphological filtering approximation

  2020cites this paper
• In vivo spatiotemporal patterns of oligodendrocyte and myelin damage at the neural electrode interface.

  2020cites this paper
• “Supersessioning”: A hardware/software system for electrophysiology spanning multiple sessions in marmosets

  2020cites this paper
• Heuristic Spike Sorting Tuner (HSST), a framework to determine optimal parameter selection for a generic spike sorting algorithm

  2020cites this paper
• MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity

  2019influential citation
• SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance

  2019cites this paper
• Large-Scale, High-Resolution Microelectrode Arrays for Interrogation of Neurons and Networks.

  2019cites this paper
• Construction and analysis of a spatially organized cortical network model

  2019influential citation
• Deep Learning-Based Template Matching Spike Classification for Extracellular Recordings

  2019cites this paper
• A Bayesian approach for Simultaneous Spike Extraction and Sorting

  2019cites this paper
• Optimal Electrode Size for Multi-Scale Extracellular-Potential Recording From Neuronal Assemblies

  2019cites this paper
• Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0

  2018cites this paper
• Spatial-Temporal Dynamics of the Sensorimotor Cortex: Sustained and Transient Activity

  2018cites this paper
• Reconciliation of weak pairwise spike–train correlations and highly coherent local field potentials across space

  2018cites this paper
• Nano functional neural interfaces

  2018cites this paper
• A novel and fully automatic spike-sorting implementation with variable number of features

  2018cites this paper
• 27th Annual Computational Neuroscience Meeting (CNS*2018): Part One

  2018cites this paper
• Materials and neuroscience: validating tools for large-scale, high-density neural recording

  2018cites this paper
• Design and MEMS Microfabrication of an Optrode for Combined Optogenetics and Electrophysiology Studies

  2018cites this paper
• Optimising Recording & Stimulation Performance of Neuronal Microelectrode Arrays through Macroporous Conducting Polymer Modification

  2018cites this paper
• Methods for automatic detection of artifacts in microelectrode recordings.

  2017cites this paper
• CMOS-Based High-Density Microelectrode Arrays: Technology and Applications

  2017cites this paper
• Bio-inspired benchmark generator for extracellular multi-unit recordings

  2017influential citation
• Fractal dimension analysis for spike detection in low SNR extracellular signals

  2016cites this paper
• Improving data quality in neuronal population recordings

  2016cites this paper
• Delta compression in time-multiplexed multichannel neural recorders

  2016cites this paper
• Improving neural spike sorting performance using template enhancement

  2016cites this paper
• Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs)

  2015cites this paper
• An optogenetic headstage for optical stimulation and neural recording in life science applications

  2015cites this paper
• Bayes optimal template matching for spike sorting – combining fisher discriminant analysis with optimal filtering

  2015cites this paper
• Hybrid scheme for modeling local field potentials from point-neuron networks

  2015cites this paper
• Live demonstration: A scalable 32-channel neural recording and real-time FPGA based spike sorting system

  2015cites this paper
• avelet methodology to improve single unit isolation in primary otor cortex cells

  2015cites this paper
• Revealing neuronal function through microelectrode array recordings

  2015cites this paper
• ViSAPy: a Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms.

  2015cites this paper
• Past, present and future of spike sorting techniques

  2015cites this paper
• Validation of neural spike sorting algorithms without ground-truth information

  2015cites this paper
• Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks

  2015cites this paper
• Spatial information in large-scale neural recordings

  2014cites this paper
• Minimum requirements for accurate and efficient real-time on-chip spike sorting.

  2014cites this paper
• Designing Scalable Biological Interfaces

  2014influential citation
• Extracellular Potentials, Forward Modeling of

  2014cites this paper
• An Analogue Front-End Model for Developing Neural Spike Sorting Systems

  2014cites this paper
• Two-population model for medial temporal lobe neurons: The vast majority are almost silent.

  2014cites this paper
• Heuristic Spike Sorting Tuner for the Determination of an Optimal Parameter Set for a Generic Spike Sorting Algorithm

  2014cites this paper
• Physical principles for scalable neural recording

  2013cites this paper
• Modelling and analysis of local field potentials for studying the function of cortical circuits

  2013cites this paper