Chadderdon GL, Neymotin SA, Kerr CC, Lytton WW. (2012). Reinforcement learning of targeted movement in a spiking neuronal model of motor cortex. PloS one. 7 [PubMed]

• Reinforcement learning of targeted movement (Chadderdon et al. 2012) [Model]

Dura-Bernal S et al. (2016). Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm. Frontiers in neuroscience. 10 [PubMed]

• Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) [Model]

Dura-Bernal S et al. (2015). Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Frontiers in neurorobotics. 9 [PubMed]

• Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) [Model]

Kerr CC et al. (2012). Electrostimulation as a prosthesis for repair of information flow in a computer model of neocortex. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 20 [PubMed]

• Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012) [Model]

Kerr CC et al. (2013). Cortical information flow in Parkinson's disease: a composite network/field model. Frontiers in computational neuroscience. 7 [PubMed]

• Composite spiking network/neural field model of Parkinsons (Kerr et al 2013) [Model]

Lytton WW, Neymotin SA, Hines ML. (2008). The virtual slice setup. Journal of neuroscience methods. 171 [PubMed]

• The virtual slice setup (Lytton et al. 2008) [Model]

Lytton WW, Neymotin SA, Wester JC, Contreras D. (2011). Neocortical simulation for epilepsy surgery guidance: Localization and intervention Computational Surgery and Dual Training.

• Computational Surgery (Lytton et al. 2011) [Model]

Lytton WW, Omurtag A. (2007). Tonic-clonic transitions in computer simulation. Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society. 24 [PubMed]

• Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007) [Model]

Lytton WW, Orman R, Stewart M. (2008). Broadening of activity with flow across neural structures. Perception. 37 [PubMed]

• Broadening of activity with flow across neural structures (Lytton et al. 2008) [Model]

McDougal RA, Hines ML, Lytton WW. (2013). Reaction-diffusion in the NEURON simulator. Frontiers in neuroinformatics. 7 [PubMed]

• Reaction-diffusion in the NEURON simulator (McDougal et al 2013) [Model]

Neymotin SA, Chadderdon GL, Kerr CC, Francis JT, Lytton WW. (2013). Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex. Neural computation. 25 [PubMed]

• Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013) [Model]

Neymotin SA, Lee H, Park E, Fenton AA, Lytton WW. (2011). Emergence of physiological oscillation frequencies in a computer model of neocortex. Frontiers in computational neuroscience. 5 [PubMed]

• Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011) [Model]

Rowan MS, Neymotin SA. (2013). Synaptic Scaling Balances Learning in a Spiking Model of Neocortex Adaptive and Natural Computing Algorithms. 7824

• Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013) [Model]

Rowan MS, Neymotin SA, Lytton WW. (2014). Electrostimulation to reduce synaptic scaling driven progression of Alzheimer's disease. Frontiers in computational neuroscience. 8 [PubMed]

• Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014) [Model]

Rudolph M, Destexhe A. (2006). Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural computation. 18 [PubMed]