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NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail

Figure 8

Models of electrical and chemical synapses implemented in NeuroML.

(A) Voltage traces from a pair of gap junction coupled model cells (300 pS) during 0.19 nA current pulse injected into one of the cells. Blue indicates cell receiving current pulse and red shows gap junction coupled cell simulated in GENESIS. White overlapping dashes indicate the same model in NEURON. Black overlapping dashes indicate the same model in MOOSE. (B) Simulated EPSCs for a single compartment cell receiving synaptic input through an AMPA receptor only synapse at a membrane potential of −80 mV (red) and −20 mV (blue) in GENESIS. Again, the dashed lines indicate the equivalent NEURON (white) and MOOSE (black) simulations. (C) As B but for a single compartment cell receiving synaptic input through an NMDA receptor only synapse. (D) Short–term plasticity (STP) model [45]: membrane potential of a postsynaptic cell receiving a regular presynaptic spike train for a synaptic connection exhibiting no STP (green, left), facilitation (red, middle) and depression (blue, right) implemented on the NEST (colored) and NEURON (white overlap) simulators.

Figure 8

doi: https://doi.org/10.1371/journal.pcbi.1000815.g008