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Proceedings of the National Academy of Sciences of the United States of America|October 19, 2017
Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivityRan Rubin, L F Abbott, Haim SompolinskyProceedings of the National Academy of Sciences of the United States of America|November 22, 1994
Activity-dependent current distributions in model neuronsM Siegel, E Marder, L F AbbottPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 28, 2010
Stimulus-dependent suppression of chaos in recurrent neural networksKanaka Rajan, L F Abbott, Haim SompolinskyPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 24, 2015
Dynamics of random neural networks with bistable unitsM Stern, H Sompolinsky, L F AbbottBiological Cybernetics|January 1, 1992
Reduction of conductance-based neuron modelsT B Kepler, L F Abbott, E MarderTrends in Neurosciences|March 30, 2004
The dynamic clamp comes of ageAstrid A Prinz, L F Abbott, Eve MarderProceedings of the National Academy of Sciences of the United States of America|May 26, 2010
Generating sparse and selective third-order responses in the olfactory system of the flySean X Luo, Richard Axel, L F AbbottThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|January 11, 2002
Redundancy reduction and sustained firing with stochastic depressing synapsesMark S Goldman, Pedro Maldonado, L F AbbottNature Neuroscience|August 31, 2000
Competitive Hebbian learning through spike-timing-dependent synaptic plasticityS Song, K D Miller, L F AbbottNeuron|August 5, 2014
A computational model of motor neuron degenerationGwendal Le Masson, Serge Przedborski, L F AbbottPageof 30