Found 146 results
Author Title [ Type(Desc)] Year
From Computer to Brain, Lytton, WW , New York, (2002)
Book Chapter
Brain Diseases, Sherif, MA, and Lytton WW , Cambridge, Massachusetts, (2016)
Brain Ischemia and Stroke, Neymotin, Samuel, Taxin ZH, Mohan A, and Lipton P , Encyclopedia of Computational Neuroscience, (2013)
Brain organization: from molecules to parallel processing, Lytton, WW , Contemporary Behavioral Neurology, Newton, MA, p.5-28, (1997)
Computational Neuroscience, Lytton, WW, and Sejnowski TJ , Diseases of the Nervous System: Clinical Neurobiology, Orlando, Fl, (1992)
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)
Genome-wide associations of schizophrenia studied with computer simulation, Neymotin, Samuel, Sherif Mohamed A., Jung Jeeyune Q., Kabariti Joseph J., and Lytton WW , Hippocampal Microcircuits: A Computational Modeler's Resource Book, Volume 2, (2018)
Neocortical simulation for epilepsy surgery guidance: localization and intervention, Lytton, WW, Neymotin Samuel, Wester JC, and Contreras D , Computational Surgery and Dual Training, p.339–349, (2014)
Simulation of large networks: technique and progress, Lytton, WW, Stewart M, and Hines ML , Computational Neuroscience in Epilepsy, Amsterdam, p.3-17, (0)
Conference Paper
A dynamic data-driven approach to closed-loop neuroprosthetics based on multiscale biomimetic brain models, Dura-Bernal, Salvador, Majumdar Amit, Neymotin Samuel, Sivagnanam Subhashini, Francis Joseph T., and Lytton WW , IEEE Interanationl Conference on High Performance Computing 2015 Workshop: InfoSymbiotics/Dynamic Data Driven Applications Systems (DDDAS) for Smarter Systems, Bangalore, India, (2015)
Evaluating Hebbian reinforcement learning BMI using an in silico brain model and a virtual musculoskeletal arm., Dura-Bernal, Salvador, Prins N, Neymotin Samuel, Prasad A, Sanchez J, Francis JT, and Lytton WW , Neural Control of Movement, (2014)
Human Action Categorization Using Ultrasound Micro-Doppler Signatures, Dura-Bernal, Salvador, Garreau Guillaume, Andreou Charalambos M., Andreou Andreas G., Georgiou Julius, Wennekers Thomas, and Denham Susan L. , HBU, (2011)
Large-scale M1 microcircuit model with plastic input connections from biological PMd neurons used for prosthetic arm control, Dura-Bernal, Salvador, Kerr Cliff, Neymotin Samuel, Suter Benjamin, Shepherd Gordon, Francis Joseph, and Lytton WW , 24th Annual Computational Neuroscience Meeting (CNS15), (2015)
Neuron time warp, Patoary, Mohammand Nazrul Ish, Tropper Carl, Lin Zhongwei, McDougal Robert A., and Lytton WW , Simulation Conference (WSC), 2014 Winter, p.3447–3458, (2014)
Ntw-mt: A multi-threaded simulator for reaction diffusion simulations in neuron, Lin, Zhongwei, Tropper Carl, Patoary Mohammand Nazrul Ish, McDougal Robert A., Lytton WW, and Hines Michael L. , Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, p.157–167, (2015)
Repairing Lesions via Kernel Adaptive Inverse Control in a Biomimetic Model of Sensorimotor Cortex, Li, Kan, Dura-Bernal Salvador, Francis Joseph, Lytton WW, and Principe Jose , Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference, p.1-4, (2015)
Repairing lesions via microstimulation in a spiking network model driving a virtual arm., Dura-Bernal, Salvador, Li K, Brockmeier A, Kerr CC, Neymotin Samuel, Principe J, Francis JT, and Lytton WW , Society for Neuroscience, (2014)
The role of feedback in a hierarchical model of object perception, Dura-Bernal, Salvador, Wennekers T., and Denham S. , Proceedings of BICS 2010 - Brain Inspired Cognitive Systems 14-16 July 2010, Madrid, Spain., (2010)
Training oscillatory dynamics with spike-timing-dependent plasticity in a computer model of neocortex, Neymotin, Samuel, Kerr CC, Francis JT, and Lytton WW , 2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), p.1–6, (2011)
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)