Terence D. Sanger

According to our database, Terence D. Sanger authored at least 40 papers between 1988 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Modeling deep brain stimulation evoked responses with phase oscillator networks.

Jonathan Realmuto, Jessica S. L. Vidmark, Terence D. Sanger

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

Assisting Forearm Function in Children With Movement Disorders via A Soft Wearable Robot With Equilibrium-Point Control.

Jonathan Realmuto, Terence D. Sanger

Frontiers Robotics AI, 2022

2021

Constraint-induced intervention as an emergent phenomenon from synaptic competition in biological systems.

Won Joon Sohn, Terence D. Sanger

J. Comput. Neurosci., 2021

Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy.

Nathaniel Dennler, Catherine Yunis, Jonathan Realmuto, Terence D. Sanger, Stefanos Nikolaidis, Maja J. Mataric

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in Humans.

Jessica S. L. Vidmark, Estefania Hernandez-Martin, Terence D. Sanger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals.

Terence D. Sanger, Mitsuo Kawato

Neural Comput., 2020

Effect of target distance on controllability for myocontrol.

Cassie N. Borish, Matteo Bertucco, Terence D. Sanger

Int. J. Hum. Comput. Stud., 2020

2019

A robotic forearm orthosis using soft fabric-based helical actuators.

Jonathan Realmuto, Terence D. Sanger

Proceedings of the IEEE International Conference on Soft Robotics, 2019

Vibro-tactile EMG-based biofeedback induces changes of muscle activity patterns in childhood dystonia.

Matteo Bertucco, Francesca Lunardini, Mauro Nardon, Claudia Casellato, Alessandra Pedrocchi, Terence D. Sanger

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018

A Computational Model of Deep-Brain Stimulation for Acquired Dystonia in Children.

Terence D. Sanger

Frontiers Comput. Neurosci., 2018

2017

Multiscale modeling in the clinic: diseases of the brain and nervous system.

William W. Lytton, Jeff Arle, Georgiy V. Bobashev, Songbai Ji, Tara L. Klassen, Vasilis Z. Marmarelis, James S. Schwaber, Mohamed A. Sherif, Terence D. Sanger

Brain Informatics, 2017

Efficient parallel implementation of stochastic dynamic operators for robot control.

Terence D. Sanger

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

2016

Learning Visually Guided Risk-Aware Reaching on a Robot Controlled by a GPU Spiking Neural Network.

Terence D. Sanger

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

A Nonlinear Stochastic Filter for Continuous-Time State Estimation.

Atiyeh Ghoreyshi, Terence D. Sanger

IEEE Trans. Autom. Control., 2015

Muscle synergies in children with dystonia capture "healthy" patterns regardless the altered motor performance.

Francesca Lunardini, Claudia Casellato, Matteo Bertucco, Terence D. Sanger, Alessandra Pedrocchi

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Risk-Aware Control.

Terence D. Sanger

Neural Comput., 2014

Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease.

Chuanxin Minos Niu, Sirish K. Nandyala, Terence D. Sanger

Frontiers Comput. Neurosci., 2014

2012

Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA.

Chuanxin Minos Niu, Sirish K. Nandyala, Won Joon Sohn, Terence D. Sanger

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Distributed Control of Uncertain Systems Using Superpositions of Linear Operators.

Terence D. Sanger

Neural Comput., 2011

2007

A Direct Measurement of Internal Model Learning Rates in a Visuomotor Tracking Task.

Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger

Proceedings of the Artificial Neural Networks, 2007

2006

Failure Modes in Feedback Error Learning.

Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger

Proceedings of the International Joint Conference on Neural Networks, 2006

Uniform Boundedness of Feedback Error Learning for a Class of Stochastic Nonlinear Systems.

Johan van Doornik, Abraham K. Ishihara, Terence D. Sanger

Proceedings of the Ninth International Conference on Control, 2006

2004

Failure of Motor Learning for Large Initial Errors.

Terence D. Sanger

Neural Comput., 2004

1998

Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons.

Terence D. Sanger

Neural Comput., 1998

1994

Neural network learning control of robot manipulators using gradually increasing task difficulty.

Terence D. Sanger

IEEE Trans. Robotics Autom., 1994

Optimal unsupervised motor learning for dimensionality reduction of nonlinear control systems.

Terence D. Sanger

IEEE Trans. Neural Networks, 1994

Theoretical Considerations for the Analysis of Population Coding in Motor Cortex.

Terence D. Sanger

Neural Comput., 1994

Optimal Movement Primitives.

Terence D. Sanger

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Equilibrium point control of a monkey arm simulator by a fast learning tree structured artificial neural network.

Menashe Dornay, Terence D. Sanger

Biol. Cybern., 1993

Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements.

Terence D. Sanger

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples.

Terence D. Sanger

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992

A Practice Strategy for Robot Learning Control.

Terence D. Sanger

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991

A tree-structured adaptive network for function approximation in high-dimensional spaces.

Terence D. Sanger

IEEE Trans. Neural Networks, 1991

A Tree-Structured Algorithm for Reducing Computation in Networks with Separable Basis Functions.

Terence D. Sanger

Neural Comput., 1991

Optimal Hidden Units for Two-Layer nonlinear Feedforward Neural Networks.

Terence D. Sanger

Int. J. Pattern Recognit. Artif. Intell., 1991

Iterative Construction of Sparse Polynomial Approximations.

Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

Basis-Function Trees as a Generalization of Local Variable Selection Methods.

Terence D. Sanger

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

Optimal unsupervised learning in a single-layer linear feedforward neural network.

Terence D. Sanger

Neural Networks, 1989

1988

Optimal unsupervised learning.

Terence D. Sanger

Neural Networks, 1988

An Optimality Principle for Unsupervised Learning.

Terence D. Sanger

Proceedings of the Advances in Neural Information Processing Systems 1, 1988