Corbit VL et al. (2016). Pallidostriatal Projections Promote ß Oscillations in a Dopamine-Depleted Biophysical Network Model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

• Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016) [Model]

Damodaran S, Cressman JR, Jedrzejewski-Szmek Z, Blackwell KT. (2015). Desynchronization of fast-spiking interneurons reduces ß-band oscillations and imbalance in firing in the dopamine-depleted striatum. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

• Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015) [Model]

Grado LL, Johnson MD, Netoff TI. (2018). Bayesian adaptive dual control of deep brain stimulation in a computational model of Parkinson's disease. PLoS computational biology. 14 [PubMed]

• Adaptive dual control of deep brain stimulation in Parkinsons disease simulations (Grado et al 2018) [Model]

Hahn PJ, McIntyre CC. (2010). Modeling shifts in the rate and pattern of subthalamopallidal network activity during deep brain stimulation. Journal of computational neuroscience. 28 [PubMed]

• Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010) [Model]

Sailamul P, Jang J, Paik SB. (2017). Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks. Journal of computational neuroscience. 43 [PubMed]

• Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017) [Model]

Tripp B, Eliasmith C. (2007). Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]

• Neural transformations on spike timing information (Tripp and Eliasmith 2007) [Model]

Wu Z, Guo A, Fu X. (2017). Generation of low-gamma oscillations in a GABAergic network model of the striatum. Neural networks : the official journal of the International Neural Network Society. 95 [PubMed]