Citations for JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008)

Legends: Link to a Model Reference cited by multiple papers


Lytton WW, Omurtag A, Neymotin SA, Hines ML (2008) Just-in-time connectivity for large spiking networks. Neural Comput 20:2745-56 [PubMed]

References and models cited by this paper

References and models that cite this paper

Angulo SL, Orman R, Neymotin SA, Liu L, Buitrago L, Cepeda-Prado E, Stefanov D, Lytton WW, Stewart M, Small SA, Duff KE, Moreno H (2017) Tau and amyloid-related pathologies in the entorhinal cortex have divergent effects in the hippocampal circuit. Neurobiol Dis 108:261-276 [Journal] [PubMed]
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:e47251 [Journal] [PubMed]
  • Reinforcement learning of targeted movement (Chadderdon et al. 2012) [Model]
Djurfeldt M (2012) The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models. Neuroinformatics 10:287-304 [Journal] [PubMed]
  • Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012) [Model]
Dura-Bernal S, Li K, Neymotin SA, Francis JT, Principe JC, Lytton WW (2016) Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm. Front Neurosci 10:28 [Journal] [PubMed]
  • Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) [Model]
Kerr CC, Neymotin SA, Chadderdon GL, Fietkiewicz CT, Francis JT, Lytton WW (2012) Electrostimulation as a prosthesis for repair of information flow in a computer model of neocortex. IEEE Trans Neural Syst Rehabil Eng 20:153-60 [Journal] [PubMed]
  • Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012) [Model]
Kerr CC, Van Albada SJ, Neymotin SA, Chadderdon GL, Robinson PA, Lytton WW (2013) Cortical information flow in Parkinson's disease: a composite network/field model. Front Comput Neurosci 7:39 [Journal] [PubMed]
  • Composite spiking network/neural field model of Parkinsons (Kerr 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 Comput 25:3263-93 [Journal] [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. Front Comput Neurosci 5:19 [Journal] [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, Tomassini M, Antonioni A, Daolio F, Buesser P, ed. pp.20 [Journal]
  • 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. Front Comput Neurosci 8:39 [Journal] [PubMed]
  • Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014) [Model]
(13 refs)