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28 results for “LFP”
Two-probe macaque monkey auditory LFP
<p>Dataset accompanying paper Klein, N., Siegle, J.H., Teichert, T., Kass, R.E. (2021) "Cross-population coupling of neural activity based on Gaussian process current source densities". </p> <p>Auditory local field potential (LFP) recordings and evoked multi-unit activity (MUA) from two 24-electrode linear probes (V-Probes from Plexon) inserted in primary auditory cortex of a macaque monkey. The probes were arranged parallel to the iso-frequency bands in primary auditory cortex (A1), and had similar tonal response fields with preferred frequencies close to 1000 Hz. The first probe (which we call the lateral probe) was located centrally in A1, while the second probe (which we call the medial probe) was located more medially and closer to the boundary of A1 with the medio-lateral belt. The medial probe had lower response threshold, shorter MUA latencies, and overall stronger current sinks and sources than the lateral probe. The spacing between electrodes on each probe was 100 microns so that the probe spanned 2,300 microns. The treatment of the animals was in accordance with the guidelines set by the U.S. Department of Health and Human Services (NIH) for the care and use of laboratory animals, and all methods were approved by the Institutional Animal Care and Use Committee at the University of Pittsburgh.</p> <p>See README.txt for precise description of data files.</p>
Maximum temperature data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)
<p>Data of safety investigation and thermal abuse behavior of commercial type 21700 LIB cells is provided.</p> <p>It has been acquired with Accelerating Rate Calorimetry (ARC), using a Thermal Hazard Technology type ES ARC.</p> <p>Moreover, thermal abuse was done by means of the so-called Heat-Wait-Seek (HWS) test, at different states of charge (SOC) from 0 to 100.</p> <p>Different cathode chemistries are compared (NMC, NCA and LFP), as well as for NCA chemistry, the high energy (HE) and high power (HP) cell design.</p> <p>For each cell, data includes the maximum temperature measured during thermal abuse at the surface on the center of the cell. Additionally, the mean value and standard deviation for each cell type and state of charge is provided.</p> <p>This data is supporting this article in the journal Batteries:</p> <p><a href="https://doi.org/10.3390/batteries9050237">https://doi.org/10.3390/batteries9050237</a></p> <p>Additional supporting material to this article are the exothermal data for thermal abuse, that are published here:</p> <p><a href="https://doi.org/10.5281/zenodo.7707929">https://doi.org/10.5281/zenodo.7707929</a></p> <p> </p>
Raw LFP data from Gothard Lab multisensory processing project
<p>Data set contains LFPs collected from two adult male rhesus macaques (foz and blu). There are 41 total sessions. Data were collected with a 16-channel linear electrode array that was acutely lowered into the amygdala and surrounding tissue.</p>
LFP cathode database
<p>Database of synthesis variables in LFP cathodes used for "Data mining for analysing synthesis methods of lithium iron phosphate cathodes"</p>
Datos Partidos LFP
<p>Estos tres ficheros CSV son el resultado de aplicar técnicas de web scraping desarrolladas en lenguaje Python para extraer datos de la liga de futbol profesional LFP de la web <a href="https://es.fcstats.com/partidos,primera-division-espana,19,1,3023.php">https://es.fcstats.com/partidos,primera-division-espana,19,1,3023.php</a> y generar 3 datasets.</p> <p>Cada fichero contiene la información de:</p> <p>- partidos.csv: datos referentes a los partidos junto con las estadísticas de cada equipo.</p> <p>- alineaciones.csv: datos de la participación de los jugadores en cada partido.</p> <p>- eventos.csv: datos de los eventos que ocurren en cada partido.</p>
Lithium-Ion Battery Field Data: 28 LFP battery systems with 8 cells in series, up to 5 years of operation
<div> <div> <div>This data set contains data from 28 portable 24V lithium iron phosphate (LFP) battery systems with approximately 160Ah nominal capacity. Each system's specific use case is unknown, but battery systems of this size are typically used as power sources for recreational vehicles, solar energy storage, and more.</div> <br> <div>All battery systems in this data set showed some form of unsatisfactory behavior and were returned to the manufacturer. Many reasons can cause a consumer to return a battery to the manufacturer for maintenance. The user's individual decisions may be motivated by personal judgment, BMS warnings, or customer support advice. This data set comprises a very small fraction of batteries sold of this version. Therefore, this data set is biased and not representative of the operational data of the entire population of this system version. An improved version replaced this battery system type. The battery system manufacturer provided the data set for this study and allowed its open-source release under the condition of anonymity.</div> <br> <div>Each battery system consists of 8 prismatic cells in series. Each system has one load current sensor, and each cell has one voltage sensor. The four temperature sensors are placed between adjacent cells, i.e., each temperature sensor is shared by two cells. Furthermore, the battery systems have active cell balancing. The available measurements vary from a single month to five years. Consequently, the number of data rows per system varies from several thousand to millions, depending on the duration of battery operation. The data set contains a total of 133 million rows of measurements.</div> </div> </div> <div> </div> <div> <div><strong>Associated Python Library</strong></div> <div>BattGP <a href="https://github.com/JoachimSchaeffer/BattGP" target="_blank" rel="noopener">https://github.com/JoachimSchaeffer/BattGP</a></div> <div>This library contains classes and functions to analyze the data set with Gaussian processes.</div> <div>Furthermore, data visualization functions are part of the library.</div> <div><br><strong>Associated Article<br></strong>Gaussian Process-based Online Health Monitoring and Fault Analysis of Lithium-Ion Battery Systems from Field Data</div> <div>Cell Report Physical Science <br> <div><a href="https://doi.org/10.1016/j.xcrp.2024.102258">https://doi.org/10.1016/j.xcrp.2024.102258</a></div> <div> </div> <div> </div> </div> </div>
Simultaneous two-photon voltage or calcium imaging and multi-channel LFP recordings in barrel cortex of awake and anesthetized mice
<p>Neuronal population activity, both spontaneous and sensory-evoked, generates propagating waves in cortex. However, high spatiotemporal-resolution mapping of these waves is difficult as calcium imaging, the work horse of current imaging, does not reveal subthreshold activity.</p> <p>Here, we present a platform combining voltage or calcium two-photon imaging with multi-channel local field potential (LFP) recordings in different layers of the barrel cortex from anesthetized and awake head-restrained mice. A chronic cranial window with access port allows injecting a viral vector expressing GCaMP6f or the voltage-sensitive dye (VSD) ANNINE-6plus, as well as entering the brain with a multi-channel neural probe. We present both average spontaneous activity and average evoked signals in response to multi-whisker air-puff stimulations.</p> <p>Time domain analysis shows the dependence of the evoked responses on the cortical layer and on the state of the animal, here separated into anesthetized, awake but resting, and running. The simultaneous data acquisition allows to compare the average membrane depolarization measured with ANNINE-6plus with the amplitude and shape of the LFP recordings. The calcium imaging data connects these data sets to the large existing database of this important second messenger. Interestingly, in the calcium imaging data, we found a few cells which showed a decrease in calcium concentration in response to vibrissa stimulation in awake mice.</p> <p>This system offers a multimodal technique to study the spatiotemporal dynamics of neuronal signals through a 3D architecture in vivo. It will provide novel insights on sensory coding, closing the gap between electrical and optical recordings.</p>
Multichannel ECoG and LFP from control and cuprizone mice
<p>Parvalbumin-positive (PV<sup>+</sup>) <em>γ</em>-aminobutyric acid (GABA) interneurons are critically involved in producing rapid network oscillations and cortical microcircuit computations but the significance of PV<sup>+</sup> axon myelination to the temporal features of inhibition remains elusive. Here using toxic and genetic models of demyelination and dysmyelination, respectively, we find that loss of compact myelin reduces PV<sup>+</sup> interneuron presynaptic terminals, increases failures and the weak phasic inhibition of pyramidal neurons abolishes optogenetically driven gamma oscillations <em>in vivo</em>. Strikingly, during periods of quiet wakefulness selectively theta rhythms are amplified and accompanied by highly synchronized interictal epileptic discharges. In support of a causal role of impaired PV-mediated inhibition, optogenetic activation of myelin-deficient PV<sup>+</sup> interneurons attenuated the power of slow theta rhythms and limited interictal spike occurrence. Thus, myelination of PV<sup>+</sup> axons is required to consolidate fast inhibition of pyramidal neurons and enable behavioral state-dependent modulation of local circuit synchronization.</p>
LFP Data to estimate post-synaptic potentials from local field potentials with reverse neural mass model
<p>All data used in the paper name "Reconstruction of post-synaptic potentials by reverse modeling of local field potentials" that is under submission at PLOS Computational Biology.</p> <p>All data are given in Matlab files (.mat) and text files (.csv)</p>
Neuropixels single-mouse LFP data
<p>Single-mouse Neuropixels recordings (spikes and LFPs) in NWB format. Dataset used in the paper "Cross-population coupling of neural activity based on Gaussian process current source densities" by Klein, N., Siegle, J.H., Teichert, T., and Kass, R.E. (preprint: <a href="https://arxiv.org/abs/2104.10070">https://arxiv.org/abs/2104.10070</a>). </p> <p>The data is part of the Allen Brain Observatory Neuropixels dataset (©2019 Allen Institute for Brain Science, available from <a href="https://portal.brain-map.org/explore/circuits/visual-coding-neuropixels">https://portal.brain-map.org/explore/circuits/visual-coding-neuropixels</a>). Six Neuropixels probes were simultaneously inserted through visual cortex, hippocampus, thalamus, and midbrain. On each probe, LFP data was recorded from up to 374 electrode locations in a checkerboard layout spanning two spatial dimensions: four columns spaced 16 microns apart, with 20 micron spacing between rows. LFP data was acquired at 2500 Hz after applying a 1000 Hz low-pass filter. Boundaries between regions were manually identified based on decreases in unit density as well as physiological signatures (such as elevated theta-band activity in the hippocampus). LFP electrodes without region labels were not included in the analysis. Spike trains and downsampled LFP data for this mouse (subject ID: 730760270; session ID: 755434585) can be accessed via the AllenSDK or via the DANDI Archive <a href="https://dandiarchive.org/dandiset/000021/draft">https://dandiarchive.org/dandiset/000021/draft</a>. The original LFP data used for this analysis is available as part of the Allen Brain Observatory AWS Public Data Set <a href="https://registry.opendata.aws/allen-brain-observatory/">https://registry.opendata.aws/allen-brain-observatory/</a>.<br> </p>
LFP and single-unit data published in Olafsdottir, Carpenter and Barry (2016) Nature Neuroscience 19: 792-794
<p><strong>OVERVIEW</strong></p> <p>All data are recorded using tetrodes - eight in MEC (deep layers) and eight in hippocampus - and the DACQ system from Axona Ltd</p> <p>For all recording files (except R2142), tetrodes 1-8 are in MEC (for R2142 it's the other way around)</p> <p>Filenames indicate the recording date, animal ID and whether the animal was running on the Z-track ('track1'), resting ('sleepPOST'), or foraging in the open field ('Training') - e.g. 20151201_R2337_track1 indicates that this file is from animal R2337 running on the Z-track on 1st December 2015</p> <p>Rest recordings were recorded immediately after animals were exposed to the track; foraging was carried out in a 1m square arena</p> <p>All files ending with .cut have spike sorted data - e.g. 20151127_R2337_track1_11.cut, contains the spike sorted data for tetrode 11; files ending with .pos contain position data (sampled at 50Hz); files ending with .egf contain LFP data (sampled at 4.8kHz); files ending with .set contain the header information; files ending with a number contain tetrode data - e.g. '20151127_R2337_track1.1' contains tetrode data from tetrode 1; and some folder have .clu files (the output of KlustaKwik), but these should be ignored as they are superseded by the .cut files</p> <p><br> <strong>RAT SPECIFIC NOTES</strong></p> <p>R2142</p> <p>>>2014-08-06</p> <p>Screening, Track1 and SleepPost present</p> <p> </p> <p>R2192</p> <p>>>2104-09-17</p> <p>Track1 and SleepPost sessions present</p> <p>>>2014-10-01</p> <p>Note this animal has a typo in the file name for the track session, indicating the wrong date - i.e. 20140110 should be 20141001, as this recording was made on 1st October 2014 NOT 10th January 2014. Note that this digit switch applies to all files for that session (i.e. track) but not to the other files from that day (i.e. sleepPost)</p> <p> </p> <p>R2217</p> <p>>>2014-12-13</p> <p>Screening, Track1 and SleepPost present</p> <p>>>2014-12-18</p> <p>Screening, Track1 and SleepPost present</p> <p><br> R2335</p> <p>>>2015-10-26</p> <p>Screening, Track1 and SleepPost present<br> </p> <p>R2336</p> <p>>>2015-11-01</p> <p>Track1 and SleepPost present</p> <p>>>2015-11-04</p> <p>Track1 and SleepPost present</p> <p> </p> <p>R2337</p> <p>>>2015-11-27</p> <p>Track1 and SleepPost present</p> <p>>>2015-12-01</p> <p>Track1 and SleepPost present</p>
Simultaneous two-photon voltage or calcium imaging and multi-channel LFP recordings in barrel cortex of awake and anesthetized mice
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Multichannel ECoG and LFP from control and cuprizone mice
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Dataset for the paper - "Synchronized LFP rhythmicity in the social brain reflects the context of social encounters"
<p>Dataset for the paper:</p><p>Synchronized LFP rhythmicity in the social brain reflects the context of social encounters</p><p>Alok Nath Mohapatra,*, David Peles, Shai Netser, Shlomo Wagner</p><p>*Corresponding author: Alok Nath Mohapatra, Email: thinkalok@gmail.com </p><p>Affiliation: Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, POB. 3338, Haifa 3103301, Israel.</p><p> </p>
Exothermal data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)
<p>Data of safety investigation and thermal abuse behavior of commercial type 21700 LIB cells is provided.</p> <p>It has been acquired with Accelerating Rate Calorimetry (ARC), using a Thermal Hazard Technology type ES ARC.</p> <p>Moreover, thermal abuse was done by means of the so-called Heat-Wait-Seek (HWS) test, at different states of charge (SOC) from 0 to 100.</p> <p>Different cathode chemistries are compared (NMC, NCA and LFP), as well as for NCA chemistry, the high energy (HE) and high power (HP) cell design.</p> <p>For each cell, data includes the exothermal behavior of the cells, which is recorded only when the cell is behaving exothermally in the ARC, above a threshold of 0.02 °C / min.</p> <p>Hence, in the files, time in minutes, temperature on the surface at the center of the cell in °C and the registered temperature rate in °C / min is provided. Cathode chemistry, as well as SOC, is indicated in the file name, each set of parameters has been tested at least twice with another cell, which is indicated with M and consecutive numbering of the test number.</p> <p>This data is supporting this article in the journal Batteries:</p> <p><a href="https://doi.org/10.3390/batteries9050237">https://doi.org/10.3390/batteries9050237</a></p> <p>Additional supporting material to this article are the maximum temperatures for thermal abuse, that are published here:</p> <p><a href="https://doi.org/10.5281/zenodo.7867730">https://doi.org/10.5281/zenodo.7867730</a></p> <p> </p> <p> </p>
MRI Compatible and Long-term LFP Recordable Deep Brain Stimulation on PD Patients
ClinicalTrials.gov study NCT02937727. IPD Sharing: YES. Countries: 1. Publications: 1.
Analysis of Deep Brain Nuclei LFP and Cortical EEG Signals During the Recovery From General Anesthesia
ClinicalTrials.gov study NCT06400901. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Computing the local field potential (LFP) from integrate-and-fire network models
Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking dynamics of neural networks changes with stimuli, tasks or dynamic network states. However, neurophysiological studies in vivo often rather measure the mass activity of neuronal microcircuits with the local field potential (LFP). Given that LFPs are generated by spatially separated currents across the neuronal membrane, they cannot be computed directly from quantities defined in models of point-like LIF neurons. Here, we explore the best approximation for predicting the LFP based on standard output from point-neuron LIF networks. To search for this best "LFP proxy", we compared LFP predictions from candidate proxies based on LIF network output (e.g, firing rates, membrane potentials, synaptic currents) with "ground-truth" LFP obtained when the LIF network synaptic input currents were injected into an analogous three-dimensional (3D) network model of multi-compartmental neurons with realistic morphology, spatial distributions of somata and synapses. We found that a specific fixed linear combination of the LIF synaptic currents provided an accurate LFP proxy, accounting for most of the variance of the LFP time course observed in the 3D network for all recording locations. This proxy performed well over a broad set of conditions, including substantial variations of the neuronal morphologies. Our results provide a simple formula for estimating the time course of the LFP from LIF network simulations in cases where a single pyramidal population dominates the LFP generation, and thereby facilitate quantitative comparison between computational models and experimental LFP recordings in vivo.
Data for Paper "Comparison of Longitudinal Wrinkle Formation During Calendering of NMC811 and LFP Cathodes"
<p>geometry data: laser and 3d scans; bending data; strain data</p>
Data from: Computing the local field potential (LFP) from integrate-and-fire network models
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.