From bfa81f11031f1406e27f8256c54deecb1149862e Mon Sep 17 00:00:00 2001 From: pgleeson
NOTE: the latest version of this documentation can be found on docs.neuroml.org!
NOTE: the latest version of this documentation can be found on docs.neuroml.org!
Cells |
Defines both abstract cell models (e.g. izhikevichCell, adaptive exponential integrate and fire cell, adExIaFCell), point conductance based cell models (pointCellCondBased, pointCellCondBasedCa) and cells models (cell) which specify the morphology (containing segments) and biophysicalProperties separately. |
Original LEMS ComponentType definitions: Cells.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.2.xsd |
Original LEMS ComponentType definitions: Cells.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.3.xsd |
Exposures | -U | +U Membrane recovery variable |
Dimensionless | v (from baseCellMembPot) | @@ -3872,31 +3872,31 @@C (from baseCellMembPotCap) | capacitance | -a | +a Time scale of recovery variable u |
per_time | -b | +b Sensitivity of recovery variable u to subthreshold fluctuations of membrane potential v |
conductance | -c | +c After-spike reset value of v |
voltage | -d | +d After-spike increase to u |
current | k | conductance_per_voltage | -v0 | +v0 Initial membrane potential |
voltage | -vpeak | +vpeak Peak action potential value |
voltage | -vr | +vr Resting membrane potential |
voltage | -vt | +vt Spike threshold |
voltage |
iSyn (from baseCellMembPotCap) | current | u | +u Membrane recovery variable |
current | v (from baseCellMembPot) | @@ -3987,34 +3987,34 @@C (from baseCellMembPotCap) | capacitance | -EL | +EL Leak reversal potential |
voltage | -VT | +VT Spike threshold |
voltage | -a | +a Sub-threshold adaptation variable |
conductance | -b | +b Spike-triggered adaptation variable |
current | -delT | +delT Slope factor |
voltage | -gL | +gL Leak conductance |
conductance | -refract | +refract Refractory period |
time | -reset | +reset Reset potential |
voltage | -tauw | +tauw Adaptation time constant |
time | -thresh | +thresh Spike detection threshold |
voltage |
v (from baseCellMembPot) | voltage | w | +w Adaptation current |
current |
- Reduced CA3 cell model from Pinsky and Rinzel 1994. See https://github.com/OpenSourceBrain/PinskyRinzelModel | + Reduced CA3 cell model from Pinsky, P.F., Rinzel, J. Intrinsic and network rhythmogenesis in a reduced traub model for CA3 neurons. J Comput Neurosci 1, 39-60 (1994). See https://github.com/OpenSourceBrain/PinskyRinzelModel||
Si | Dimensionless | Vd | +Vd Dendritic membrane potential |
voltage | -Vs | +Vs Somatic membrane potential |
voltage | Wi | diff --git a/docs/Channels.html b/docs/Channels.html index e421bac..348b419 100644 --- a/docs/Channels.html +++ b/docs/Channels.html @@ -15,7 +15,7 @@ - NeuroML v2.2 Component Types + NeuroML v2.3 Component Types
Channels |
Defines voltage (and concentration) gated ion channel models. Ion channels will generally extend baseIonChannel. The most commonly used voltage dependent gate will extend baseGate. |
Original LEMS ComponentType definitions: Channels.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.2.xsd |
Original LEMS ComponentType definitions: Channels.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.3.xsd |
Inputs |
A number of ComponentTypes for providing spiking (e.g. spikeGeneratorPoisson, spikeArray) and current inputs (e.g. pulseGenerator, voltageClamp, timedSynapticInput, poissonFiringSynapse) to other ComponentTypes |
Original LEMS ComponentType definitions: Inputs.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.2.xsd |
Original LEMS ComponentType definitions: Inputs.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.3.xsd |
Networks |
Network descriptions for NeuroML 2. Describes network elements containing populations (potentially of type populationList, and so specifying a list of cell locations), projections (i.e. lists of connections) and inputs. |
Original LEMS ComponentType definitions: Networks.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.2.xsd |
Original LEMS ComponentType definitions: Networks.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.3.xsd |
NeuroMLCoreCompTypes |
NeuroML2 ComponentType definitions from NeuroMLCoreCompTypes.xml |
Original LEMS ComponentType definitions: NeuroMLCoreCompTypes.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.2.xsd |
Original LEMS ComponentType definitions: NeuroMLCoreCompTypes.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.3.xsd |
NeuroMLCoreDimensions |
NeuroML2 ComponentType definitions from NeuroMLCoreDimensions.xml |
Original LEMS ComponentType definitions: NeuroMLCoreDimensions.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.2.xsd |
Original LEMS ComponentType definitions: NeuroMLCoreDimensions.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.3.xsd |
PyNN |
A number of ComponentType description of PyNN standard cells. All of the cells extend basePyNNCell, and the synapses extend basePynnSynapse. |
Original LEMS ComponentType definitions: PyNN.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.2.xsd |
Original LEMS ComponentType definitions: PyNN.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.3.xsd |
Synapses |
A number of synaptic ComponentTypes for use in NeuroML 2 documents, e.g. expOneSynapse, expTwoSynapse, blockingPlasticSynapse. These extend the baseSynapse ComponentType. Also defined continuously transmitting synapses, e.g. gapJunction and gradedSynapse. |
Original LEMS ComponentType definitions: Synapses.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.2.xsd |
Original LEMS ComponentType definitions: Synapses.xml Schema against which NeuroML based on these should be valid: NeuroML_v2.3.xsd |