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A SciUnit library for data-driven validation testing of models of hippocampus

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Introduction

This package contains validation tests for models of hippocampus, based on the SciUnit framework and the NeuronUnit package.

It was derived from the hippounit module of https://github.com/BlueBrain/neuronunit by separating out the validation tests from the models.

Current tests cover somatic behavior and signal integration in radial oblique dendrites of hippocampal CA1 pyramidal cell models.

DepolarizationBlockTest

Tests if the model enters depolarization block under current injection of increasing amplitudes to the soma.

Features tested:

  • Ith: the threshold current to reach the depolarization block, the amplitude of the current injection at which the cell exhibits the maximum number of spikes
  • Veq: the average equilibrium value during the depolarization block, average of the membrane potential over the last 100 ms of a current pulse 50 pA above Ith.

(Bianchi et al. (2012) J Comput Neurosci, 33: 207-225)

ObliqueIntegrationTest

Tests signal integration in oblique dendrites for increasing number of synchronous and asynchronous inputs.

Features tested:

  • voltage threshold: the upper limit of the threshold for dendritic spike initiation (an expected somatic depolarization at wich step like dV/dt increase occur)
  • proximal threshold
  • distal threshold
  • degree of nonlinearity at threshold
  • suprathreshold degree of nonlinearity
  • peak derivative of (somatic voltage) at threshold
  • peak amplitude of somatic EPSP
  • time to peak of somatic EPSP
  • degree of nonlinearity in the case of asynchronous inputs

(A. Losonczy and J. C. Magee (2006) Neuron, 50: 291-307)

Score used: p value from T-test. If the p value < 0.05, the model mean differs from the experimental mean

SomaticFeaturesTest

Tests some somatic features using the BBP eFel

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A SciUnit library for data-driven validation testing of models of hippocampus

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