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54 results for “fire models”
RAP-Chem Model Output for the Beckwourth Complex Fire
<p>RAP-Chem data for the Beckwourth Complex Fire between 7/7/2021 and 7/14/2021.</p>
Data from: Combining optimization and simulation modelling to measure the cumulative impacts of prescribed fire and wildfire on vegetation species diversity
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Data from: Multi-trophic occupancy modeling connects temporal dynamics of woodpeckers and beetle sign following fire
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Data from: Differential temperature sensitivity of synaptic and firing processes in a neural mass model of epileptic discharges explains heterogeneous response of experimental epilepsy to focal brain cooling
Experiments with drug-induced epilepsy in rat brains and epileptic human brain region reveal that focal cooling can suppress epileptic discharges without affecting the brain's normal neurological function. Findings suggest a viable treatment for intractable epilepsy cases via an implantable cooling device. However, precise mechanisms by which cooling suppresses epileptic discharges are still not clearly understood. Cooling experiments in vitro presented evidence of reduction in neurotransmitter release from presynaptic terminals and loss of dendritic spines at post-synaptic terminals offering a possible synaptic mechanism. We show that termination of epileptic discharges is possible by introducing a homogeneous temperature factor in a neural mass model which attenuates the post-synaptic impulse responses of the neuronal populations. This result however may be expected since such attenuation leads to reduced post-synaptic potential and when the effect on inhibitory interneurons is less than on excitatory interneurons, frequency of firing of pyramidal cells is consequently reduced. While this is observed in cooling experiments in vitro, experiments in vivo exhibit persistent discharges during cooling but suppressed in magnitude. This leads us to conjecture that reduction in the frequency of discharges may be compensated through intrinsic excitability mechanisms. Such compensatory mechanism is modelled using a reciprocal temperature factor in the firing response function in the neural mass model. We demonstrate that the complete model can reproduce attenuation of both magnitude and frequency of epileptic discharges during cooling. The compensatory mechanism suggests that cooling lowers the average and the variance of the distribution of threshold potential of firing across the population. Bifurcation study with respect to the temperature parameters of the model reveals how heterogeneous response of epileptic discharges to cooling (termination or suppression only) is exhibited. Possibility of differential temperature effects on post-synaptic potential generation of different populations is also explored.
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.
Dataset for Integrate-and-Fire-Type Models of the Lateral Superior Olive
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Model outputs: Quantitative assessment of fire and vegetation properties in historical simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project
<p>This dataset contains the fire model outputs of various variables used in the initial FireMIP benchmarking paper.</p>
Replication Data for: Interpretable machine learning prediction of fire emission and comparison with FireMIP process-based models
<p>The target and predictor variables used in the developed ML model.</p>
Data from: Computing the local field potential (LFP) from integrate-and-fire network models
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Data from: Differential temperature sensitivity of synaptic and firing processes in a neural mass model of epileptic discharges explains heterogeneous response of experimental epilepsy to focal brain cooling
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Data from: Modelling variability in the fire-response of an endangered bird to improve fire-management
Conservation managers regularly burn vegetation to regenerate habitat for fire-dependent species. When determining the time-since-fire at which to burn, managers model change in a species' occurrence over time, post-fire (fire-response curve) and identify the time-since-fire associated with decline in occurrence. However, where species exhibit variability in their fire-response across space, using a single fire-response curve to determine the timing of burns may lead to burning habitat at an inappropriate time-since-fire. We tested if elevation, local topography, soil properties, vegetation type or evapotranspiration affect the fire-response of the endangered mallee emu-wren Stipiturus mallee and its hummock-grass habitat Triodia scariosa in south-eastern Australia (n= 217). Previous work on the mallee emu-wren found a unimodal fire-response with decline in occurrence at ~30-50 years-since-fire and a time-window of occurrence of ~30 years. We found that time-since-fire and elevation interact to affect the mallee emu-wren fire-response. At high elevations (55-98 m), mallee emu-wrens declined in occurrence at ~50 years-since-fire, with a time-window of occurrence of 20-40 years. However, at low elevations (28-55 m), mallee emu-wrens showed no decline in occurrence with increasing time-since-fire with a time-window of occurrence of up to 107 years. Extent cover of Tall T. scariosa showed similar patterns to the mallee emu-wren, indicating that vegetation structure is a likely driver of variability in the mallee emu-wren fire-response. We speculate that the effect of low elevation is mediated by increased soil nutrient and water availability for key plants. We used our findings to map the appropriate time-since-fire at which to burn to regenerate habitat for the mallee emu-wren across the study-region. We recommend no burning for regeneration across one-third of potential habitat, because the mallee emu-wren showed no decline in occurrence in these areas. We recommend managers model variability in species' fire-responses across space to improve the timing of burns for regeneration.
Data from: Modelling variability in the fire-response of an endangered bird to improve fire-management
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Fired clay model boat
Fired clay model boat; handmade. Cultures/periods: Early Dynastic III Production date: 2500BC Excavated/Findspot: Royal Cemetery (Ur) Museum Number: 123731 © The Trustees of the British Museum. Shared under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) licence. See: https://www.britishmuseum.org/collection/object/W_1929-1017-722 Source: Objaverse 1.0 / Sketchfab
Near-term modeled forest fire area and fuel aridity projections
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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.