Terence D. Sanger

47 papers B 2C 1Journal 27Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaled Dot-Product Attention implements projection of inputs onto a common surface. CoRR Terence D. Sanger
2025	J	`jnl`	BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics. CoRR Mehrnaz Asadi, Sina Javadzadeh, Rahil Soroushmojdehi, S. Alireza Seyyed Mousavi, Terence D. Sanger
2025	J	`jnl`	Disentangling Shared and Private Neural Dynamics with SPIRE: A Latent Modeling Framework for Deep Brain Stimulation. CoRR Rahil Soroushmojdehi, Sina Javadzadeh, Mehrnaz Asadi, Terence D. Sanger
2025	J	`jnl`	Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions. CoRR Sina Javadzadeh, Rahil Soroushmojdehi, S. Alireza Seyyed Mousavi, Mehrnaz Asadi, Sumiko Abe, Terence D. Sanger
2025	J	`jnl`	Transformer Models for Signal Processing: Scaled Dot-Product Attention Implements Constrained Filtering. Neural Comput. Terence D. Sanger
2024	—	`conf`	System Identification of Human Dynamics Using Periodic Impedance Models During Physical Interaction. HAPTICS Khandaker Nusaiba Hafiz, Terence D. Sanger, Jonathan Realmuto
2023	—	`conf`	Modeling deep brain stimulation evoked responses with phase oscillator networks. NER Jonathan Realmuto, Jessica S. L. Vidmark, Terence D. Sanger
2022	J	`jnl`	Assisting Forearm Function in Children With Movement Disorders via A Soft Wearable Robot With Equilibrium-Point Control. Frontiers Robotics AI Jonathan Realmuto, Terence D. Sanger
2021	J	`jnl`	Constraint-induced intervention as an emergent phenomenon from synaptic competition in biological systems. J. Comput. Neurosci. Won Joon Sohn, Terence D. Sanger
2021	—	`conf`	Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in Humans. MICCAI (8) Jessica S. L. Vidmark, Estefania Hernandez-Martin, Terence D. Sanger
2021	B	`conf`	Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy. RO-MAN Nathaniel Dennler, Catherine Yunis, Jonathan Realmuto, Terence D. Sanger, Stefanos Nikolaidis, Maja J. Mataric
2021	J	`jnl`	Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy. CoRR Nathaniel Dennler, Catherine Yunis, Jonathan Realmuto, Terence D. Sanger, Stefanos Nikolaidis, Maja J. Mataric
2020	J	`jnl`	A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals. Neural Comput. Terence D. Sanger, Mitsuo Kawato
2020	J	`jnl`	Effect of target distance on controllability for myocontrol. Int. J. Hum. Comput. Stud. Cassie N. Borish, Matteo Bertucco, Terence D. Sanger
2019	—	`conf`	A robotic forearm orthosis using soft fabric-based helical actuators. RoboSoft Jonathan Realmuto, Terence D. Sanger
2019	—	`conf`	Vibro-tactile EMG-based biofeedback induces changes of muscle activity patterns in childhood dystonia. NER Matteo Bertucco, Francesca Lunardini, Mauro Nardon, Claudia Casellato, Alessandra Pedrocchi, Terence D. Sanger
2018	J	`jnl`	A Computational Model of Deep-Brain Stimulation for Acquired Dystonia in Children. Frontiers Comput. Neurosci. Terence D. Sanger
2017	—	`conf`	Efficient parallel implementation of stochastic dynamic operators for robot control. ROBIO Terence D. Sanger
2017	J	`jnl`	Multiscale modeling in the clinic: diseases of the brain and nervous system. Brain Informatics 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
2016	—	`conf`	Learning Visually Guided Risk-Aware Reaching on a Robot Controlled by a GPU Spiking Neural Network. ICONIP (1) Terence D. Sanger
2015	J	`jnl`	A Nonlinear Stochastic Filter for Continuous-Time State Estimation. IEEE Trans. Autom. Control. Atiyeh Ghoreyshi, Terence D. Sanger
2015	—	`conf`	Muscle synergies in children with dystonia capture "healthy" patterns regardless the altered motor performance. EMBC Francesca Lunardini, Claudia Casellato, Matteo Bertucco, Terence D. Sanger, Alessandra Pedrocchi
2014	J	`jnl`	Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease. Frontiers Comput. Neurosci. Chuanxin Minos Niu, Sirish K. Nandyala, Terence D. Sanger
2014	J	`jnl`	Risk-Aware Control. Neural Comput. Terence D. Sanger
2012	—	`conf`	Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA. NIPS Chuanxin Minos Niu, Sirish K. Nandyala, Won Joon Sohn, Terence D. Sanger
2011	J	`jnl`	Distributed Control of Uncertain Systems Using Superpositions of Linear Operators. Neural Comput. Terence D. Sanger
2007	—	`conf`	A Direct Measurement of Internal Model Learning Rates in a Visuomotor Tracking Task. ICANN (2) Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger
2006	B	`conf`	Failure Modes in Feedback Error Learning. IJCNN Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger
2006	C	`conf`	Uniform Boundedness of Feedback Error Learning for a Class of Stochastic Nonlinear Systems. ICARCV Johan van Doornik, Abraham K. Ishihara, Terence D. Sanger
2004	J	`jnl`	Failure of Motor Learning for Large Initial Errors. Neural Comput. Terence D. Sanger
1998	J	`jnl`	Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons. Neural Comput. Terence D. Sanger
1994	J	`jnl`	Neural network learning control of robot manipulators using gradually increasing task difficulty. IEEE Trans. Robotics Autom. Terence D. Sanger
1994	—	`conf`	Optimal Movement Primitives. NIPS Terence D. Sanger
1994	J	`jnl`	Optimal unsupervised motor learning for dimensionality reduction of nonlinear control systems. IEEE Trans. Neural Networks Terence D. Sanger
1994	J	`jnl`	Theoretical Considerations for the Analysis of Population Coding in Motor Cortex. Neural Comput. Terence D. Sanger
1993	J	`jnl`	Equilibrium point control of a monkey arm simulator by a fast learning tree structured artificial neural network. Biol. Cybern. Menashe Dornay, Terence D. Sanger
1993	—	`conf`	Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements. NIPS Terence D. Sanger
1993	—	`conf`	Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples. NIPS Terence D. Sanger
1992	—	`conf`	A Practice Strategy for Robot Learning Control. NIPS Terence D. Sanger
1991	J	`jnl`	A Tree-Structured Algorithm for Reducing Computation in Networks with Separable Basis Functions. Neural Comput. Terence D. Sanger
1991	J	`jnl`	A tree-structured adaptive network for function approximation in high-dimensional spaces. IEEE Trans. Neural Networks Terence D. Sanger
1991	—	`conf`	Iterative Construction of Sparse Polynomial Approximations. NIPS Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus
1991	J	`jnl`	Optimal Hidden Units for Two-Layer nonlinear Feedforward Neural Networks. Int. J. Pattern Recognit. Artif. Intell. Terence D. Sanger
1990	—	`conf`	Basis-Function Trees as a Generalization of Local Variable Selection Methods. NIPS Terence D. Sanger
1989	J	`jnl`	Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks Terence D. Sanger
1988	—	`conf`	An Optimality Principle for Unsupervised Learning. NIPS Terence D. Sanger
1988	J	`jnl`	Optimal unsupervised learning. Neural Networks Terence D. Sanger