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Kristofer E. Bouchard
Kristofer E. Bouchard
Neuroscientist at Lawrence Berkeley National Laboratory and UC Berkeley
Verified email at lbl.gov - Homepage
Title
Cited by
Year
Identifying Feedforward and Feedback Controllable Subspaces of Neural Population Dynamics
A Kumar, LM Frank, KE Bouchard
arXiv preprint arXiv:2408.05875, 2024
2024
Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
L Manubens-Gil, Z Zhou, H Chen, A Ramanathan, X Liu, Y Liu, A Bria, ...
Nature Methods, 1-1, 2024
2024
Methods for Linking Data to Online Resources and Ontologies with Applications to Neurophysiology
M Avaylon, R Ly, A Tritt, B Dichter, KE Bouchard, CJ Mungall, O Ruebel
arXiv preprint arXiv:2406.00063, 2024
2024
AutoCT: Automated CT registration, segmentation, and quantification
Z Bai, A Essiari, T Perciano, KE Bouchard
SoftwareX 26, 101673, 2024
2024
Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model
R Meng, KE Bouchard
PLOS Computational Biology 20 (4), e1011975, 2024
2024
The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies
MP Joachimiak, MA Miller, JH Caufield, R Ly, NL Harris, A Tritt, ...
arXiv preprint arXiv:2404.03044, 2024
32024
Feedback Controllability is a Normative Theory of Neural Population Dynamics
K Bouchard, A Kumar
2024
Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits
SJ Yoo, L El-Srouji, S Datta, S Yu, JA Incorvia, A Salleo, V Sorger, J Hu, ...
arXiv preprint arXiv:2403.19724, 2024
2024
Numerical characterization of support recovery in sparse regression with correlated design
A Kumar, S Bhattacharyya, K Bouchard
Communications in Statistics-Simulation and Computation 53 (3), 1504-1518, 2024
32024
Partially observable Markov models inferred using statistical tests reveal context-dependent syllable transitions in Bengalese finch songs
J Lu, S Surendralal, KE Bouchard, DZ Jin
bioRxiv, 2022.11. 15.516592, 2024
2024
Data-driven distillation and precision prognosis in traumatic brain injury with interpretable machine learning
A Tritt, JK Yue, AR Ferguson, A Torres Espin, LD Nelson, EL Yuh, ...
Scientific reports 13 (1), 21200, 2023
2023
FAIR for AI: An interdisciplinary and international community building perspective
EA Huerta, B Blaiszik, LC Brinson, KE Bouchard, D Diaz, C Doglioni, ...
Scientific data 10 (1), 487, 2023
182023
Resolving Non-identifiability Mitigates Bias in Models of Neural Tuning and Functional Coupling
P Sachdeva, JH Bak, J Livezey, C Kirst, L Frank, S Bhattacharyya, ...
bioRxiv, 2023
2023
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
L Manubens-Gil, Z Zhou, H Chen, A Ramanathan, X Liu, Y Liu, A Bria, ...
Nature Methods 20 (6), 824-835, 2023
262023
DL-TODA: a deep learning tool for omics data analysis
CM Cres, A Tritt, KE Bouchard, Y Zhang
Biomolecules 13 (4), 585, 2023
42023
Perspectives for self-driving labs in synthetic biology
HG Martin, T Radivojevic, J Zucker, K Bouchard, J Sustarich, S Peisert, ...
Current Opinion in Biotechnology 79, 102881, 2023
332023
DL-TODA: A Deep Learning Tool for Omics Data Analysis. Biomolecules 2023, 13, 585
CM Cres, A Tritt, KE Bouchard, Y Zhang
2023
Revealing context dependence through Partially Observable Markov Model
J Lu, D Jin, S Surendralal, K Bouchard
Bulletin of the American Physical Society 67, 2022
2022
Generative models inferred using statistical tests reveal context-dependent syllable transitions in Bengalese finch songs
J Lu, S Surendralal, KE Bouchard, DZ Jin
bioRxiv, 2022.11. 15.516592, 2022
2022
Time-series ML-regression on Graphcore IPU-M2000 and Nvidia A100
J Balewski, Z Liu, A Tsyplikhin, ML Roland, K Bouchard
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking …, 2022
22022
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