Force field apparatus for investigating movement control in small animals. - Joseph T. Francis; John K. Chapin (IEEE Trans. Biomed. Eng., 2004)

A novel family of non-parametric cumulative based divergences for point processes. - Sohan Seth; Il Memming Park; Austin J. Brockmeier; Mulugeta Semework; John S. Choi; Joseph T. Francis; José Carlos Príncipe (NIPS, 2010)

Reinforcement learning via kernel temporal difference. - Jihye Bae; Pratik Chhatbar; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (EMBC, 2011)

Optimizing microstimulation using a reinforcement learning framework. - Austin J. Brockmeier; John S. Choi; Marcello M. DiStasio; Joseph T. Francis; José C. Príncipe (EMBC, 2011)

Evaluating dependence in spike train metric spaces. - Sohan Seth; Austin J. Brockmeier; John S. Choi; Mulugeta Semework; Joseph T. Francis; José C. Príncipe (IJCNN, 2011)

Stochastic kernel temporal difference for reinforcement learning. - Jihye Bae; Luis G. Sánchez Giraldo; Pratik Chhatbar; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (MLSP, 2011)

An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). - Lin Li 020; Il Memming Park; Sohan Seth; John S. Choi; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (MLSP, 2011)

Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. - Austin J. Brockmeier; John S. Choi; Matthew S. Emigh; Lin Li 020; Joseph T. Francis; José C. Príncipe (EMBC, 2012)

Decoding stimuli from multi-source neural responses. - Lin Li 020; John S. Choi; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (EMBC, 2012)

Properties of a temporal difference reinforcement learning brain machine interface driven by a simulated motor cortex. - Aditya Tarigoppula; Nick Rotella; Joseph T. Francis (EMBC, 2012)

Information-theoretic metric learning: 2-D linear projections of neural data for visualization. - Austin J. Brockmeier; Luis Gonzalo Sánchez Giraldo; Matthew S. Emigh; Jihye Bae; John S. Choi; Joseph T. Francis; José C. Príncipe (EMBC, 2013)

Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex. - Samuel A. Neymotin; George L. Chadderdon; Cliff C. Kerr; Joseph T. Francis; William W. Lytton (Neural Comput., 2013)

Electronically induced contrast enhancement in whisker S1 cortical response fields. - Lee M. von Kraus; Joseph T. Francis (EMBC, 2014)

Correntropy kernel temporal differences for reinforcement learning brain machine interfaces. - Jihye Bae; Luis G. Sánchez Giraldo; José C. Príncipe; Joseph T. Francis (IJCNN, 2014)

A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. - Lin Li 020; Austin J. Brockmeier; John S. Choi; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (Comput. Intell. Neurosci., 2014)

Neural Decoding with Kernel-Based Metric Learning. - Austin J. Brockmeier; John S. Choi; Evan G. Kriminger; Joseph T. Francis; José C. Príncipe (Neural Comput., 2014)

Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping. - George L. Chadderdon; Ashutosh Mohan; Benjamin A. Suter; Samuel A. Neymotin; Cliff C. Kerr; Joseph T. Francis; Gordon M. G. Shepherd; William W. Lytton (Neural Comput., 2014)

Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm. - Salvador Dura-Bernal; George L. Chadderdon; Samuel A. Neymotin; Joseph T. Francis; William W. Lytton (Pattern Recognit. Lett., 2014)

Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex. - Kan Li 002; Salvador Dura-Bernal; Joseph T. Francis; William W. Lytton; José C. Príncipe (NER, 2015)

Kernel Temporal Differences for Neural Decoding. - Jihye Bae; Luis G. Sánchez Giraldo; Eric A. Pohlmeyer; Joseph T. Francis; Justin C. Sanchez; José C. Príncipe (Comput. Intell. Neurosci., 2015)

Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. - Salvador Dura-Bernal; Xianlian Zhou 001; Samuel A. Neymotin; Andrzej Przekwas; Joseph T. Francis; William W. Lytton (Frontiers Neurorobotics, 2015)

Reward value is encoded in primary somatosensory cortex and can be decoded from neural activity during performance of a psychophysical task. - David B. McNiel; John S. Choi; John P. Hessburg; Joseph T. Francis (EMBC, 2016)

Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. - Salvador Dura-Bernal; Samuel A. Neymotin; Cliff C. Kerr; Subhashini Sivagnanam; Amit Majumdar 001; Joseph T. Francis; William W. Lytton (IBM J. Res. Dev., 2017)

Near Perfect Neural Critic from Motor Cortical Activity Toward an Autonomously Updating Brain Machine Interface. - Junmo An; Taruna Yadav; Mohammad Badri Ahmadi; Aditya Tarigoppula; Joseph T. Francis (EMBC, 2018)

Real-Time Seizure State Tracking Using Two Channels: A Mixed-Filter Approach. - Mohammad Badri Ahmadi; Alexander Craik; Hamid Fekri Azgomi; Joseph T. Francis; José Luis Contreras-Vidal; Rose T. Faghih (ACSSC, 2019)

Emotional Valence Tracking and Classification via State-Space Analysis of Facial Electromyography. - Taruna Yadav; Md Moin Uddin Atique; Hamid Fekri Azgomi; Joseph T. Francis; Rose T. Faghih (ACSSC, 2019)

Improved Grip Force Prediction Using a Loss Function that Penalizes Reward Related Neural Information. - Jaganth Nivas Asok Kumar; Joseph T. Francis (EMBC, 2022)

High Classification Accuracy of Touch Locations from S1 LFPs Using CNNs and Fastai. - Bret A. See; Joseph T. Francis (EMBC, 2022)

Reward-dependent Graded Suppression of Sensorimotor Beta-band Local Field Potentials During an Arm Reaching Task in NHP. - Taruna Yadav; Oman Magaña-Tellez; Joseph T. Francis (EMBC, 2022)

Primate Motor Cortical Activity Displays Hallmarks of a Temporal Difference Reinforcement Learning Process. - Venkata S. Aditya Tarigoppula; John S. Choi; John P. Hessburg; David B. McNiel; Brandi T. Marsh; Joseph T. Francis (NER, 2023)