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Joseph T. Francis
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2020 – today
- 2023
- [c21]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: 1-5 - 2022
- [c20]Bret A. See, Joseph T. Francis
:
High Classification Accuracy of Touch Locations from S1 LFPs Using CNNs and Fastai. EMBC 2022: 342-345 - [c19]Jaganth Nivas Asok Kumar, Joseph T. Francis
Improved Grip Force Prediction Using a Loss Function that Penalizes Reward Related Neural Information. EMBC 2022: 2336-2339 - [c18]Taruna Yadav
Reward-dependent Graded Suppression of Sensorimotor Beta-band Local Field Potentials During an Arm Reaching Task in NHP. EMBC 2022: 3123-3126
2010 – 2019
- 2019
- [c17]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: 2033-2039 - [c16]Taruna Yadav
Emotional Valence Tracking and Classification via State-Space Analysis of Facial Electromyography. ACSSC 2019: 2116-2120 - 2018
- [c15]Junmo An
Near Perfect Neural Critic from Motor Cortical Activity Toward an Autonomously Updating Brain Machine Interface. EMBC 2018: 73-76 - 2017
- [j9]Salvador Dura-Bernal
Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM J. Res. Dev. 61(2/3): 6:1-6:14 (2017) - 2016
- [c14]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: 3064-3067 - 2015
- [j8]Jihye Bae
Kernel Temporal Differences for Neural Decoding. Comput. Intell. Neurosci. 2015: 481375:1-481375:17 (2015) - [j7]Salvador Dura-Bernal
Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Frontiers Neurorobotics 9: 13 (2015) - [c13]Kan Li
Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex. NER 2015: 478-481 - 2014
- [j6]Lin Li
A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control. Comput. Intell. Neurosci. 2014: 870160:1-870160:16 (2014) - [j5]Austin J. Brockmeier
Neural Decoding with Kernel-Based Metric Learning. Neural Comput. 26(6): 1080-1107 (2014) - [j4]George L. Chadderdon, Ashutosh Mohan, Benjamin A. Suter
Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping. Neural Comput. 26(7): 1239-1262 (2014) - [j3]Salvador Dura-Bernal
Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm. Pattern Recognit. Lett. 36: 204-212 (2014) - [c12]Lee M. von Kraus, Joseph T. Francis
Electronically induced contrast enhancement in whisker S1 cortical response fields. EMBC 2014: 2601-2604 - [c11]Jihye Bae
Correntropy kernel temporal differences for reinforcement learning brain machine interfaces. IJCNN 2014: 2713-2717 - 2013
- [j2]Samuel A. Neymotin
Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex. Neural Comput. 25(12): 3263-3293 (2013) - [c10]Austin J. Brockmeier
Information-theoretic metric learning: 2-D linear projections of neural data for visualization. EMBC 2013: 5586-5589 - 2012
- [c9]Lin Li, John S. Choi, Joseph T. Francis
Decoding stimuli from multi-source neural responses. EMBC 2012: 1331-1334 - [c8]Austin J. Brockmeier
Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex. EMBC 2012: 2957-2960 - [c7]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: 3284-3287 - 2011
- [c6]Austin J. Brockmeier
Optimizing microstimulation using a reinforcement learning framework. EMBC 2011: 1069-1072 - [c5]Jihye Bae
Reinforcement learning via kernel temporal difference. EMBC 2011: 5662-5665 - [c4]Sohan Seth, Austin J. Brockmeier
Evaluating dependence in spike train metric spaces. IJCNN 2011: 2645-2652 - [c3]Jihye Bae
Stochastic kernel temporal difference for reinforcement learning. MLSP 2011: 1-6 - [c2]Lin Li, Il Memming Park
An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS). MLSP 2011: 1-6 - 2010
- [c1]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: 2119-2127
2000 – 2009
- 2004
- [j1]Joseph T. Francis
Force field apparatus for investigating movement control in small animals. IEEE Trans. Biomed. Eng. 51(6): 963-965 (2004)
Coauthor Index
aka: José Carlos Príncipe
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