Joseph T. Francis

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 9

Top Topics

Temporal Difference

High Classification Accuracy

Cortical Regions

Top Venues

Comput. Intell. Neurosci.

Publications

Venkata S. Aditya Tarigoppula, John S. Choi, John P. Hessburg, David B. McNiel, Brandi T. Marsh, Joseph T. Francis
Primate Motor Cortical Activity Displays Hallmarks of a Temporal Difference Reinforcement Learning Process. NER (2023)
Jaganth Nivas Asok Kumar, Joseph T. Francis
Improved Grip Force Prediction Using a Loss Function that Penalizes Reward Related Neural Information. EMBC (2022)
Bret A. See, Joseph T. Francis
High Classification Accuracy of Touch Locations from S1 LFPs Using CNNs and Fastai. EMBC (2022)
Taruna Yadav, Oman Magaña-Tellez, Joseph T. Francis
Reward-dependent Graded Suppression of Sensorimotor Beta-band Local Field Potentials During an Arm Reaching Task in NHP. EMBC (2022)
Taruna Yadav, Md Moin Uddin Atique, Hamid Fekri Azgomi, Joseph T. Francis, Rose T. Faghih
Emotional Valence Tracking and Classification via State-Space Analysis of Facial Electromyography. ACSSC (2019)
Mohammad Badri Ahmadi, Alexander Craik, Hamid Fekri Azgomi, Joseph T. Francis, José Luis Contreras-Vidal, Rose T. Faghih
Real-Time Seizure State Tracking Using Two Channels: A Mixed-Filter Approach. ACSSC (2019)
Junmo An, Taruna Yadav, Mohammad Badri Ahmadi, Aditya Tarigoppula, Joseph T. Francis
Near Perfect Neural Critic from Motor Cortical Activity Toward an Autonomously Updating Brain Machine Interface. EMBC (2018)
Salvador Dura-Bernal, Samuel A. Neymotin, Cliff C. Kerr, Subhashini Sivagnanam, Amit Majumdar, Joseph T. Francis, William W. Lytton
Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM J. Res. Dev. 61 (2/3) (2017)
David B. McNiel, John S. Choi, John P. Hessburg, Joseph T. Francis
Reward value is encoded in primary somatosensory cortex and can be decoded from neural activity during performance of a psychophysical task. EMBC (2016)
Kan Li, Salvador Dura-Bernal, Joseph T. Francis, William W. Lytton, José C. Príncipe
Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex. NER (2015)
Salvador Dura-Bernal, Xianlian Zhou, Samuel A. Neymotin, Andrzej Przekwas, Joseph T. Francis, William W. Lytton
Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Frontiers Neurorobotics 9 (2015)
Jihye Bae, Luis G. Sánchez Giraldo, Eric A. Pohlmeyer, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
Kernel Temporal Differences for Neural Decoding. Comput. Intell. Neurosci. 2015 (2015)
Lin Li, Austin J. Brockmeier, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Comput. Intell. Neurosci. 2014 (2014)
Salvador Dura-Bernal, George L. Chadderdon, Samuel A. Neymotin, Joseph T. Francis, William W. Lytton
Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm. Pattern Recognit. Lett. 36 (2014)
Jihye Bae, Luis G. Sánchez Giraldo, José C. Príncipe, Joseph T. Francis
Correntropy kernel temporal differences for reinforcement learning brain machine interfaces. IJCNN (2014)
Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe
Neural Decoding with Kernel-Based Metric Learning. Neural Comput. 26 (6) (2014)
George L. Chadderdon, Ashutosh Mohan, Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Joseph T. Francis, Gordon M. G. Shepherd, William W. Lytton
Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping. Neural Comput. 26 (7) (2014)
Lee M. von Kraus, Joseph T. Francis
Electronically induced contrast enhancement in whisker S1 cortical response fields. EMBC (2014)
Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo, Matthew S. Emigh, Jihye Bae, John S. Choi, Joseph T. Francis, José C. Príncipe
Information-theoretic metric learning: 2-D linear projections of neural data for visualization. EMBC (2013)
Samuel A. Neymotin, George L. Chadderdon, Cliff C. Kerr, Joseph T. Francis, William W. Lytton
Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex. Neural Comput. 25 (12) (2013)
Austin J. Brockmeier, John S. Choi, Matthew S. Emigh, Lin Li, Joseph T. Francis, José C. Príncipe
Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. EMBC (2012)
Aditya Tarigoppula, Nick Rotella, Joseph T. Francis
Properties of a temporal difference reinforcement learning brain machine interface driven by a simulated motor cortex. EMBC (2012)
Lin Li, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
Decoding stimuli from multi-source neural responses. EMBC (2012)
Austin J. Brockmeier, John S. Choi, Marcello M. DiStasio, Joseph T. Francis, José C. Príncipe
Optimizing microstimulation using a reinforcement learning framework. EMBC (2011)
Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe
Evaluating dependence in spike train metric spaces. IJCNN (2011)
Jihye Bae, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
Reinforcement learning via kernel temporal difference. EMBC (2011)
Jihye Bae, Luis G. Sánchez Giraldo, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
Stochastic kernel temporal difference for reinforcement learning. MLSP (2011)
Lin Li, Il Memming Park, Sohan Seth, John S. Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe
An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP (2011)
Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe
A novel family of non-parametric cumulative based divergences for point processes. NIPS (2010)
Joseph T. Francis, John K. Chapin
Force field apparatus for investigating movement control in small animals. IEEE Trans. Biomed. Eng. 51 (6) (2004)