The format of the simulation reports

The format of the simulation reports

<div><p>As the size and complexity of network simulations accessible to computational neuroscience grows, new avenues open for research into extracellularly recorded electric signals. Biophysically detailed simulations permit the identification of the biological origins of the different...

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Bibliographic Details
Main Author: Joseph James Tharayil (21416715) (author)
Other Authors: Jorge Blanco Alonso (21416718) (author), Silvia Farcito (21416721) (author), Bryn Lloyd (728510) (author), Armando Romani (5753759) (author), Elvis Boci (20114325) (author), Antonino Cassara (13261611) (author), Felix Schürmann (171947) (author), Esra Neufeld (728505) (author), Niels Kuster (20800) (author), Michael Reimann (14290511) (author)
Published: 2025
Subjects:
Biophysics
Cell Biology
Genetics
Neuroscience
Physiology
Biotechnology
Evolutionary Biology
Developmental Biology
Cancer
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
standalone python code
sonata data format
rat somatosensory cortex
new avenues open
network simulations accessible
coreneuron computation engine
computational neuroscience grows
complex tissue anatomy
permit online calculation
signal information content
e ., non
simulate eeg recordings
enable efficient calculation
div >< p
dipolar current sources
calculate extracellular signals
efficient calculation
extracellular recordings
signal sensitivity
handling non
current source
recordings close
extracellular signals
simulation validation
silico </
recording parameters
recorded signals
long axons
geometric factors
general form
first application
electrode geometries
different components
different anatomical
dielectric heterogeneity
biological origins
based approach
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