Biblio

Found 146 results
Author Title Type [ Year(Asc)]
2013
Brain Ischemia and Stroke, Neymotin, Samuel, Taxin ZH, Mohan A, and Lipton P , Encyclopedia of Computational Neuroscience, (2013)
Cortical information flow in {Parkinson's} disease: a composite network/field model, Kerr, CC, van Albada SJ, Neymotin Samuel, Chadderdon GL, Robinson PA, and Lytton WW , Front Comput Neurosci, Volume 7, p.39, (2013)
Cortical plasticity induced by spike-triggered microstimulation in primate somatosensory cortex, Song, W, Kerr CC, Lytton WW, and Francis JT , PLoS One, Volume 8, p.e57453, (2013)
Dynamical microstates in primary auditory cortex, Neymotin, Samuel, Lytton WW, O'Connell MN, and Lakatos P , Society for Neuroscience Abstracts, Volume 43, (2013)
Ih tunes theta/gamma oscillations and cross-frequency coupling in an in silico {CA3} model, Neymotin, Samuel, Hilscher MM, Moulin TC, Skolnick Y, Lazarewicz MT, and Lytton WW , PLoS One, Volume 8, p.e76285, (2013)
Multimodal integration of micro-Doppler sonar and auditory signals for behavior classification with convolutional networks, Dura-Bernal, Salvador, Garreau Guillaume, Georgiou Julius, Andreou Andreas G., Denham Susan L., and Wennekers Thomas , International Journal of Neural Systems, Volume 23, p.1350021, (2013)
Reaction-Diffusion in the {NEURON} Simulator, McDougal, Robert A., Hines ML, and Lytton WW , Front Neuroinform, Volume 7:28, (2013)
Reinforcement learning of 2-joint virtual arm reaching in computer model of sensorimotor cortex, Neymotin, Samuel, Chadderdon GL, Kerr CC, Francis JT, and Lytton WW , Neural Comput, Volume 25, Number 12, p.3263–3293, (2013)
Synaptic scaling balances learning in a spiking model of neocortex, Rowan, M, and Neymotin Samuel , Springer LNCS, Volume 7824, p.20–29, (2013)
Virtual musculoskeletal arm and robotic arm driven by a biomimetic model of sensorimotor cortex with reinforcement learning, Dura-Bernal, Salvador, Chadderdon G.L., Neymotin Samuel, Zhou Xianlian, Przekwas A., Francis J.T., and Lytton WW , Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE, Dec, p.1-5, (2013)
Water-tight membranes from neuronal morphology files, McDougal, Robert A., Hines ML, and Lytton WW , J Neurosci Methods, Volume 220, Number 2, p.167–178, (2013)
2012
Computational Neuroscience of Neuronal Networks, Neymotin, Samuel, Mathew A.M., Kerr C., and Lytton WW , New York, (2012)
Computational Neuroscience of Neurons and Synapses, Lytton, WW, and Kerr C. , New York, (2012)
Dynamically repairing and replacing neural networks: using hybrid computational and biological tools, Sanchez, J, Lytton WW, Carmena J, Principe J, Fortes J, Barbour R, and Francis J , {IEEE} Pulse, Volume 3, p.57-59, (2012)
Electrostimulation as a prosthesis for repair of information flow in a computer model of neocortex, Kerr, CC, Neymotin Samuel, Chadderdon GL, Fietkiewicz CT, Francis JT, and Lytton WW , IEEE Trans Neural Syst Rehab Eng, Volume 20, p.153–60, (2012)
Input-to-output transformation in a model of the rat hippocampal {CA1} network, Olypher, AV, Lytton WW, and Prinz AA , Front Comput Neurosci, Volume 6, p.57, (2012)
Reaction-diffusion modeling in the {NEURON} simulator, McDougal, Robert A., Skolnick Y, Schaff JC, Lytton WW, and Hines ML , BMC Neuroscience, Volume 13, Number Suppl 1, p.P119, (2012)
Reinforcement Learning of Targeted Movement in a Spiking Neuronal Model of Motor Cortex, Chadderdon, GL, Neymotin Samuel, Kerr CC, and Lytton WW , PLoS One, Volume 7, p.e47251, (2012)
Top-Down Feedback in an HMAX-Like Cortical Model of Object Perception Based on Hierarchical Bayesian Networks and Belief Propagation, Dura-Bernal, Salvador, Wennekers Thomas, and Denham Susan L. , PLoS One, Volume 7, Number 11, p.e48216, (2012)
Top-Down Feedback in an HMAX-Like Cortical Model of Object Perception Based on Hierarchical Bayesian Networks and Belief Propagation, Dura-Bernal, Salvador, Wennekers Thomas, and Denham Susan L. , PloS one, Volume 7, p.e48216, (2012)