Intracellular membrane potential noise recordings in cortical pyramidal cells after blocking action potentials and synaptic transmission and simulations of miniature excitatory postsynaptic potentials in cortical pyramidal cells. The data in this repository was used to benchmark 'minis' software:

Martynas Dervinis fab3eb3c5a Added CC-BY 4.0 license 9 months ago
images ff6d50d3bc Transférer les fichiers vers 'images' 9 months ago
recs 378d7aae9e Added p131c 9 months ago
temps eb4efcf0ad Added p103a 9 months ago
LICENSE fab3eb3c5a Added CC-BY 4.0 license 9 months ago
README.md f79c19fced Updated README 9 months ago
README_Github.md 51c1d7571a Updated stuck READMEs 9 months ago
datacite.yml 637ca2231e Update 'datacite.yml' 9 months ago

README.md

minis-benchmarking-data

Intracellular membrane potential noise recordings in cortical pyramidal cells after blocking action potentials and synaptic transmission (0.5 or 1 μM TTX, 12.5 μM gabazine, 40 μM NBQX, and 50 μM CPP) and simulations of miniature excitatory postsynaptic potentials (mEPSPs) in cortical pyramidal cells. The data in this repository was used to produce the manuscript of the minis software benchmarking study.

Repository content

recs

recs folder holds data for all individual recordings in separate folders. Folders are named according to recording IDs: p103a, p106b, p108a, p108b, p108c, p120b, p122a, p124b, p125a, p127c, p128c, p129a, p131a, p131c. Recording IDs are formed by appending the animal ID with the slice ID letter. Each recording ID folder has the following structure: image

Test Condition File Naming

Files stored in folders abf, abf_raw, csv_MA, csv_pC_raw, mat_MA, mat_MA_select, mat_MA2, mat_minis, mat_minis_select, mat_minis2, mat_pC_raw, mat_pC_raw_select, and mat_pC_raw2 correspond to individual testing conditions when part of their name contain the following characters:

  • amp0p3_sAmp0p05_n500_<...>_noiseScaleFactor4p2: 0.3 mV simulated EPSPs at 2.5 events/second with the noise scaling factor of 4.2.
  • amp0p3_sAmp0p05_n500_<...>_noiseScaleFactor2p6: 0.3 mV simulated EPSPs at 2.5 events/second with the noise scaling factor of 2.6.
  • amp0p3_sAmp0p05_n500_<...>_noiseScaleFactor1p8: 0.3 mV simulated EPSPs at 2.5 events/second with the noise scaling factor of 1.8.
  • amp0p3_sAmp0p05_n500_<...>_noiseScaleFactor1p4: 0.3 mV simulated EPSPs at 2.5 events/second with the noise scaling factor of 1.4.
  • amp0p3_sAmp0p05_n500_<...>_noiseScaleFactor1p2: 0.3 mV simulated EPSPs at 2.5 events/second with the noise scaling factor of 1.2.
  • amp0p3_sAmp0p05_n500_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 2.5 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp0p05_n1000_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 5 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp0p05_n2000_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 10 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp0p05_n4000_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 20 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp0p05_n8000_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 40 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp0p05_n1600_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 80 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp0p05_n3200_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 160 events/second with the noise scaling factor of.
  • amp0p3_sAmp0p05_n6400_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 320 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp0p05_n12800_<...>_noiseScaleFactor1: 0.3 mV simulated EPSPs at 640 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp1e_09_n500_<...>_noiseScaleFactor1: Varying amplitude simulated EPSPs at 13 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp1e_09_n625_<...>_noiseScaleFactor1 or amp0p3_sAmp1e_09_n1250_<...>_noiseScaleFactor1: Varying amplitude simulated EPSPs at 33 events/second with the noise scaling factor of 1.
  • amp0p3_sAmp1e_09_n1000_<...>_noiseScaleFactor1 or amp0p3_sAmp1e_09_n2000_<...>_noiseScaleFactor1: Varying amplitude simulated EPSPs at 53 events/second with the noise scaling factor of 1.

Detection Performance Evaluation Analysis Output

Detection performance evaluation analysis output is produced separately for each testing condition and is saved in Matlab data files (MAT format) containing the following variables: image

temps

Clampfit EPSP templates (Axon Text File format) used to detect simulated EPSPs and described in the benchmarking manuscript.

datacite.yml
Title minis-benchmarking-data
Authors Dervinis,Martynas;University of Copenhagen;ORCID:0000-0002-4676-7456
Description Intracellular membrane potential noise recordings in cortical pyramidal cells after blocking action potentials and synaptic transmission (0.5 or 1 μM TTX, 12.5 μM gabazine, 40 μM NBQX, and 50 μM CPP) and simulations of miniature excitatory postsynaptic potentials (mEPSPs) in cortical pyramidal cells. The data in this repository was used to produce the manuscript of the minis software benchmarking study.
License Creative Commons Attribution 3.0 Unported (https://creativecommons.org/licenses/by/3.0/legalcode)
References
Funding
Keywords Neuroscience
PSP
EPSP
Electrophysiology
Cortex
Ephys
Synapse
PSC
EPSC
Patch clamp
pClamp
Clampfit
minis
EPSC
Icephys
Quantal analysis
MiniAnalysis
Resource Type Dataset