ModelDB: Models that contain Winner-take-all

Model Concept: Winner-take-all

A neural network whos activated output neuron(s) inhibits either directly or through other neurons, other competing patterns in the alternative output neurons.

Top authors for Winner-take-all:

Top concepts studied with Winner-take-all:

Top neurons studied with Winner-take-all:

Top currents studied with Winner-take-all:

I A (1)
I Calcium (1)
I K (1)
I K,Ca (1)
I Na,t (1)
I h (1)
I Na,p (1)
I T low threshold (1)

Top references cited by these models:

Bi GQ, Poo MM. (1998). Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 (3)
Song S, Miller KD, Abbott LF. (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature neuroscience. 3 (3)
Koós T, Tepper JM. (1999). Inhibitory control of neostriatal projection neurons by GABAergic interneurons. Nature neuroscience. 2 (2)
Humphries MD, Wood R, Gurney K. (2009). Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit. Neural networks : the official journal of the International Neural Network Society. 22 (2)
Tepper JM, Koós T, Wilson CJ. (2004). GABAergic microcircuits in the neostriatum. Trends in neurosciences. 27 (2)