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They concentrate on the spiking mechanisms itself and use an ensemble modeling approach to identify model neurons that will show comparable temperature insensitivity while expressing membrane currents with normal Q10s.
In this type I II transition regime, properties of model neurons that are considered type II might show behaviour usually associated with type I and vice versa.
To minimize the influence of IRP and intrinsic frequencies on model neurons that are quiescent in the absence of external inputs, we use specifically generated input signals that only trigger spike trains with relatively long ISIs.
Moreover model neurons that specialize early in development on one subset of features cannot readily re-adapt later on.
At stimulus reappearance the difference in adaptation state between model neurons that code a recently dominant percept and those coding the other percept causes the recently dominant percept to win the competition.
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"We describe a simple conductance-based model neuron that includes intra and extracellular ion concentration dynamics and show that this model exhibits periodic bursting.
Beyond describing a model neuron that may have significant computational advantages, the present theory has approached the problem from a fundamentally different perspective.
Another comment concerns the tests for robustness of their findings to the particular choice of model neuron that the authors describe in the paper.
We modify this model for neurons that have broader action potentials or those for which the burst envelope instead of individual spikes are modeled.
For the integration of this mechanism in the architecture, we modelled MSTlModel neurons that obey an on-center-off-surround characteristic generated by input integration from model MTModel neurons.
The electrical circuit architecture is modeled after neurons that have spatially extensive dendritic trees.
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