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1a | 1b | 1c | 2a | 2b | 3a | 3b | |
Ramp | X | X |
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| X | X |
Long Square | X | X |
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| X |
Short Square |
| X | X |
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| X |
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Short Square - Hold |
| X |
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| X |
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Short Square - Triple | |||||||
Noise (1 & 2) |
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| X |
| X |
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Ramp to Rheobase | X | X | |||||
Square Suprathreshold | X | X | |||||
Square Subthreshold | X | X |
Neuronal Models
The Allen Cell Types Database contains two types of neuronal models: perisomatic biophysical models and generalized leaky integrate-and-fire (GLIF) models. These models attempt to mathematically reproduce a cell's recorded response to a current injection. The perisomatic biophysical models take into account dendritic morphological structure, whereas GLIF models are simple point neuron models which represent the neuron as a single compartment.
There are five levels of GLIF models with increasing levels of complexity. The most basic model is a simple leaky integrate-and-fire equation. More advanced GLIFs attempt to model variable spike threshold, afterspike currents, and threshold adaptation.
Model Name | Description |
|---|---|
1 Leaky Integrate and Fire (LIF) | Standard circuit representation of a resistor and capacitor in parallel with a leaky membrane. |
2 LIF + Reset Rules (LIF-R) | LIF with biologically-derived threshold and voltage reset rules in addition to a biologically derived threshold decay. |
3 LIF + Afterspike Currents (LIF-ASC) | LIF with spike-induced currents to model long-term effects of voltage-activated ion channels. |
4 LIF-R + Afterspike Currents (LIF-R-ASC) | LIF with additional Reset Rules and Afterspike Currents. |
5 LIF-R-ASC + Threshold Adaptation (LIF-R-ASC-A) | All of the above, with an additional voltage-dependent component of threshold. |
Biophysical, perisomatic | Models with active conductances at the soma and passive dendritic morphology based on full 3D reconstruction. |
Generalized Leaky-Integrate-and-Fire (GLIF) Models
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