A deep-learning plus iterative-compensation pipeline reconstructs populations of conductance-based neuron models from spike times alone, validated on synthetic spiking and bursting data.
How Modeling Can Reconcile Apparently Discrepant Experimental Results: The Case of Pacemaking in Dopaminergic Neurons
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Fast reconstruction of degenerate populations of conductance-based neuron models from spike times
A deep-learning plus iterative-compensation pipeline reconstructs populations of conductance-based neuron models from spike times alone, validated on synthetic spiking and bursting data.