Joseph T. Francis

30 papers B 2Misc 2Journal 9Unranked 17

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Primate Motor Cortical Activity Displays Hallmarks of a Temporal Difference Reinforcement Learning Process. NER Venkata S. Aditya Tarigoppula, John S. Choi, John P. Hessburg, David B. McNiel, Brandi T. Marsh, Joseph T. Francis
2022	—	`conf`	High Classification Accuracy of Touch Locations from S1 LFPs Using CNNs and Fastai. EMBC Bret A. See, Joseph T. Francis
2022	—	`conf`	Improved Grip Force Prediction Using a Loss Function that Penalizes Reward Related Neural Information. EMBC Jaganth Nivas Asok Kumar, Joseph T. Francis
2022	—	`conf`	Reward-dependent Graded Suppression of Sensorimotor Beta-band Local Field Potentials During an Arm Reaching Task in NHP. EMBC Taruna Yadav, Oman Magaña-Tellez, Joseph T. Francis
2019	Misc	`conf`	Emotional Valence Tracking and Classification via State-Space Analysis of Facial Electromyography. ACSSC Taruna Yadav, Md Moin Uddin Atique, Hamid Fekri Azgomi, Joseph T. Francis, Rose T. Faghih
2019	Misc	`conf`	Real-Time Seizure State Tracking Using Two Channels: A Mixed-Filter Approach. ACSSC Mohammad Badri Ahmadi, Alexander Craik, Hamid Fekri Azgomi, Joseph T. Francis, José Luis Contreras-Vidal, Rose T. Faghih
2018	—	`conf`	Near Perfect Neural Critic from Motor Cortical Activity Toward an Autonomously Updating Brain Machine Interface. EMBC Junmo An, Taruna Yadav, Mohammad Badri Ahmadi, Aditya Tarigoppula, Joseph T. Francis
2017	J	`jnl`	Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM J. Res. Dev. Salvador Dura-Bernal, Samuel A. Neymotin, Cliff C. Kerr, Subhashini Sivagnanam, Amit Majumdar, Joseph T. Francis, William W. Lytton
2016	—	`conf`	Reward value is encoded in primary somatosensory cortex and can be decoded from neural activity during performance of a psychophysical task. EMBC David B. McNiel, John S. Choi, John P. Hessburg, Joseph T. Francis
2015	J	`jnl`	Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Frontiers Neurorobotics Salvador Dura-Bernal, Xianlian Zhou, Samuel A. Neymotin, Andrzej Przekwas, Joseph T. Francis, William W. Lytton
2015	J	`jnl`	Kernel Temporal Differences for Neural Decoding. Comput. Intell. Neurosci. Jihye Bae, Luis G. Sánchez Giraldo, Eric A. Pohlmeyer, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2015	—	`conf`	Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex. NER Kan Li, Salvador Dura-Bernal, Joseph T. Francis, William W. Lytton, José C. Príncipe
2014	J	`jnl`	A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Comput. Intell. Neurosci. Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2014	B	`conf`	Correntropy kernel temporal differences for reinforcement learning brain machine interfaces. IJCNN Jihye Bae, Luis G. Sánchez Giraldo, José C. Príncipe, Joseph T. Francis
2014	—	`conf`	Electronically induced contrast enhancement in whisker S1 cortical response fields. EMBC Lee M. von Kraus, Joseph T. Francis
2014	J	`jnl`	Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping. Neural Comput. George L. Chadderdon, Ashutosh Mohan, Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Joseph T. Francis, Gordon M. G. Shepherd, William W. Lytton
2014	J	`jnl`	Neural Decoding with Kernel-Based Metric Learning. Neural Comput. Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe
2014	J	`jnl`	Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm. Pattern Recognit. Lett. Salvador Dura-Bernal, George L. Chadderdon, Samuel A. Neymotin, Joseph T. Francis, William W. Lytton
2013	—	`conf`	Information-theoretic metric learning: 2-D linear projections of neural data for visualization. EMBC Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe
2013	J	`jnl`	Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex. Neural Comput. Samuel A. Neymotin, George L. Chadderdon, Cliff C. Kerr, Joseph T. Francis, William W. Lytton
2012	—	`conf`	Decoding stimuli from multi-source neural responses. EMBC Lin Li, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2012	—	`conf`	Properties of a temporal difference reinforcement learning brain machine interface driven by a simulated motor cortex. EMBC Aditya Tarigoppula, Nick Rotella, Joseph T. Francis
2012	—	`conf`	Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. EMBC Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe
2011	—	`conf`	An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2011	B	`conf`	Evaluating dependence in spike train metric spaces. IJCNN Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe
2011	—	`conf`	Optimizing microstimulation using a reinforcement learning framework. EMBC Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe
2011	—	`conf`	Reinforcement learning via kernel temporal difference. EMBC Jihye Bae, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2011	—	`conf`	Stochastic kernel temporal difference for reinforcement learning. MLSP Jihye Bae, Luis G. Sánchez Giraldo, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
2010	—	`conf`	A novel family of non-parametric cumulative based divergences for point processes. NIPS Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe
2004	J	`jnl`	Force field apparatus for investigating movement control in small animals. IEEE Trans. Biomed. Eng. Joseph T. Francis, John K. Chapin