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Caleb Kemere
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2020 – today
- 2024
- [j4]Della Daiyi Luo, Bapun Giri, Kamran Diba, Caleb Kemere:
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding. Neural Comput. 36(8): 1449-1475 (2024) - [i1]Josue Casco-Rodriguez, Caleb Kemere, Richard G. Baraniuk:
[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models. CoRR abs/2401.14429 (2024) - 2023
- [c12]Wei Wang, Liwen Jiang, Shayok Dutta, Yumin Su, Zhiyu Chen, Zhanghao Yu, Caleb Kemere, Kaiyuan Yang
:
A 36nW CMOS Temperature Sensor with <0.1K Inaccuracy and Uniform Resolution. VLSI Technology and Circuits 2023: 1-2 - 2020
- [c11]Sibo Gao, James Webb, Zakir Mridha, Anton Banta, Caleb Kemere
Novel Virtual Reality System for Auditory Tasks in Head-fixed Mice. EMBC 2020: 2925-2928
2010 – 2019
- 2018
- [c10]Jill Juneau, Guillaume Duret, Jacob T. Robinson, Caleb Kemere
Enhanced Image Sensor Module for Head-Mounted Microscopes*. EMBC 2018: 826-829 - 2017
- [c9]Etienne R. Ackermann
Latent variable models for hippocampal sequence analysis. ACSSC 2017: 724-728 - 2016
- [c8]Etienne R. Ackermann
Scoring sequences of hippocampal activity using hidden Markov models. EMBC 2016: 957-960 - 2015
- [j3]Samantha R. Summerson
Investigating irregularly patterned deep brain stimulation signal design using biophysical models. Frontiers Comput. Neurosci. 9: 78 (2015) - [c7]Ankit Sethi, Caleb T. Kemere
Mulitchannel real time spike sorting for decoding ripple sequences. NER 2015: 956-959 - 2014
- [c6]Ankit Sethi, Caleb Kemere
Real time algorithms for sharp wave ripple detection. EMBC 2014: 2637-2640 - [c5]Samantha R. Summerson
Randomized stimulation signal design to create partial informational lesions in parkinsonian neuronal networks. ICASSP 2014: 3626-3630 - 2013
- [c4]Samantha R. Summerson
Current amplitude-dependent modulation of rotational behavior with GPi stimulation in the rodent model of Parkinson's Disease. EMBC 2013: 783-786
2000 – 2009
- 2008
- [j2]Michael D. Linderman, Gopal Santhanam, Caleb T. Kemere
Signal Processing Challenges for Neural Prostheses. IEEE Signal Process. Mag. 25(1): 18-28 (2008) - 2006
- [c3]Krishna V. Shenoy, Teresa H. Santhanam, Stephen I. Ryu, Afsheen Afshar, Byron M. Yu, Vikash Gilja, Michael D. Linderman, Rachel S. Kalmar, John P. Cunningham, Caleb T. Kemere
Increasing the Performance of Cortically-Controlled Prostheses. EMBC (Supplement) 2006: 6652-6656 - [c2]Stephen O'Driscoll, Teresa H. Meng, Krishna V. Shenoy, Caleb Kemere
Neurons to Silicon: Implantable Prosthesis Processor. ISSCC 2006: 2248-2257 - 2005
- [c1]Caleb Kemere
Optimal estimation of feed-forward-controlled linear systems. ICASSP (5) 2005: 353-356 - 2004
- [j1]Caleb Kemere
Model-based neural decoding of reaching movements: a maximum likelihood approach. IEEE Trans. Biomed. Eng. 51(6): 925-932 (2004)
Coauthor Index
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