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Dura-Bernal S, Zhou X, Neymotin SA, Przekwas A, Francis JT, Lytton WW (2015) Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Front Neurorobot 9:13 [PubMed]

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

References and models cited by this paper

References and models that cite this paper

Almássy N, Edelman GM, Sporns O (1998) Behavioral constraints in the development of neuronal properties: a cortical model embedded in a real-world device. Cereb Cortex 8:346-61 [PubMed]
Alstermark B, Isa T (2012) Circuits for skilled reaching and grasping. Annu Rev Neurosci 35:559-78 [Journal] [PubMed]
Barrett Tech (2012) WAM Training Documentation
Bergenheim M, Ribot-Ciscar E, Roll JP (2000) Proprioceptive population coding of two-dimensional limb movements in humans: I. Muscle spindle feedback during spatially oriented movements. Exp Brain Res 134:301-10 [Journal] [PubMed]
Berger DJ, d'Avella A (2014) Effective force control by muscle synergies. Front Comput Neurosci 8:46 [Journal] [PubMed]
Carmena JM (2013) Advances in neuroprosthetic learning and control. PLoS Biol 11:e1001561 [Journal] [PubMed]
Carrillo RR, Ros E, Boucheny C, Coenen OJ (2008) A real-time spiking cerebellum model for learning robot control. Biosystems 94:18-27 [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]
Demandt E, Mehring C, Vogt K, Schulze-Bonhage A, Aertsen A, Ball T (2012) Reaching movement onset- and end-related characteristics of EEG spectral power modulations. Front Neurosci 6:65 [Journal] [PubMed]
DeWolf T, Eliasmith C (2011) The neural optimal control hierarchy for motor control. J Neural Eng 8:065009 [Journal] [PubMed]
Dura-Bernal S, Chadderdon GL, Neymotin SA, Francis JT, Lytton WW (2014) Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm. Pattern Recognit Lett 36:204-212 [Journal] [PubMed]
Dura-Bernal S,Prins N,Neymotin S,Prasad A,Sanchez J,Francis J,et al (1887) Evaluating hebbian reinforcement learning bmi using an in silico brain model and a virtual musculoskeletal arm Neural Control of Movement
Edelman GM (1987) Neural Darwinism: The Theory of Neuronal Group Selection
Featherstone R,Orin D (2000) Robot dynamics: Equations and algorithms In ICRA (International Conference Robotics and Automation) :826-834
Flint RD, Lindberg EW, Jordan LR, Miller LE, Slutzky MW (2012) Accurate decoding of reaching movements from field potentials in the absence of spikes. J Neural Eng 9:046006 [Journal] [PubMed]
Francis JT (2009) The neural representation of kinematics and dynamics in multiple brain regions: the use of force field reaching paradigms in the primate and rat Mechanosensitivity of the Nervous System, Mechanosensitivity in Cells and Tissues, Kamkim A:Kiseleva I, ed. pp.215
Hatsopoulos N, Joshi J, O'Leary JG (2004) Decoding continuous and discrete motor behaviors using motor and premotor cortical ensembles. J Neurophysiol 92:1165-74 [Journal] [PubMed]
Hogan N, Sternad D (2009) Sensitivity of smoothness measures to movement duration, amplitude, and arrests. J Mot Behav 41:529-34 [Journal] [PubMed]
Holzbaur KR, Murray WM, Delp SL (2005) A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control. Ann Biomed Eng 33:829-40 [PubMed]
Izhikevich EM (2007) Solving the distal reward problem through linkage of STDP and dopamine signaling. Cereb Cortex 17:2443-52 [Journal] [PubMed]
  • Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007) [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]
Lee G,Matsunaga A,Dura-Bernal S,Zhang W,Lytton W,Francis J,Et AL (2014) Towards real-time communication between in vivo neurophysiological data sources and simulator-based brain biomimetic models. J Comput Surg
Li K,Dura-Bernal S,Francis J,Lytton W,Principe J (2015) Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference. (Montpellier)
Luque NR, Garrido JA, Carrillo RR, Coenen OJ, Ros E (2011) Cerebellar input configuration toward object model abstraction in manipulation tasks. IEEE Trans Neural Netw 22:1321-8 [Journal] [PubMed]
Lytton WW, Omurtag A (2007) Tonic-clonic transitions in computer simulation. J Clin Neurophysiol 24:175-81 [Journal] [PubMed]
  • Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007) [Model]
Lytton WW, Stewart M (2005) A rule-based firing model for neural networks Int J Bioelectromagn 7:47-50
Lytton WW, Stewart M (2006) Rule-based firing for network simulations. Neurocomputing 69:1160-1164
Mahmoudi B, Pohlmeyer EA, Prins NW, Geng S, Sanchez JC (2013) Towards autonomous neuroprosthetic control using Hebbian reinforcement learning. J Neural Eng 10:066005 [Journal] [PubMed]
Marsh BT, Tarigoppula VS, Chen C, Francis JT (2015) Toward an autonomous brain machine interface: integrating sensorimotor reward modulation and reinforcement learning. J Neurosci 35:7374-87 [Journal] [PubMed]
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]
Prins NW, Sanchez JC, Prasad A (2014) A confidence metric for using neurobiological feedback in actor-critic reinforcement learning based brain-machine interfaces. Front Neurosci 8:111 [Journal] [PubMed]
Roll JP, Albert F, Ribot-Ciscar E, Bergenheim M (2004) "Proprioceptive signature" of cursive writing in humans: a multi-population coding. Exp Brain Res 157:359-68 [Journal] [PubMed]
Sanchez J, Lytton W, Carmena J, Principe J, Fortes J, Barbour R, Francis J (2012) Dynamically repairing and replacing neural networks: using hybrid computational and biological tools. IEEE Pulse 3:57-9 [Journal] [PubMed]
Sanchez J, Tarigoppula A, Choi J, Marsh B, Chhatbar P (2011) Control of a center-out reaching task using a reinforcement learning brain-machine interface Neural Engineering (NER), 2011 5th International IEEE-EMBS Conference on. IEEE :525-528
Sartori M, Gizzi L, Lloyd DG, Farina D (2013) A musculoskeletal model of human locomotion driven by a low dimensional set of impulsive excitation primitives. Front Comput Neurosci 7:79 [Journal] [PubMed]
Schutte LM,Rodgers MM,Zajac F,Glaser RM (1993) Improving the efficacy of electrical stimulation-induced leg cycle ergometry: an analysis based on a dynamic musculoskeletal model Rehabil. Eng. IEEE Trans. 1:109-125
Shadmehr R, Mussa-Ivaldi FA (1994) Adaptive representation of dynamics during learning of a motor task. J Neurosci 14:3208-24 [PubMed]
Song W, Kerr CC, Lytton WW, Francis JT (2013) Cortical plasticity induced by spike-triggered microstimulation in primate somatosensory cortex. PLoS One 8:e57453 [Journal] [PubMed]
Sussillo D, Churchland MM, Kaufman MT, Shenoy KV (2015) A neural network that finds a naturalistic solution for the production of muscle activity. Nat Neurosci 18:1025-33 [Journal] [PubMed]
Teulings HL, Contreras-Vidal JL, Stelmach GE, Adler CH (1997) Parkinsonism reduces coordination of fingers, wrist, and arm in fine motor control. Exp Neurol 146:159-70 [Journal] [PubMed]
Thelen DG, Anderson FC, Delp SL (2003) Generating dynamic simulations of movement using computed muscle control. J Biomech 36:321-8 [PubMed]
Wolpert DM, Diedrichsen J, Flanagan JR (2011) Principles of sensorimotor learning. Nat Rev Neurosci 12:739-51 [Journal] [PubMed]
Zajac FE (1989) Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. Crit Rev Biomed Eng 17:359-411 [PubMed]
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]
Dura-Bernal S, Neymotin SA, Kerr CC, Sivagnanam S, Majumdar A, Francis JT, Lytton WW (2017) Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM Journal of Research and Development (Computational Neuroscience special issue) 61(2/3):6:1-6:14 [Journal]
  • Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017) [Model]
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