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Lea Duncker
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Learning interpretable continuous-time models of latent stochastic dynamical systems
L Duncker, G Bohner, J Boussard, M Sahani
International Conference on Machine Learning, 1726-1734, 2019
782019
Organizing recurrent network dynamics by task-computation to enable continual learning
L Duncker*, LN Driscoll*, KV Shenoy, M Sahani, D Sussillo
Advances in Neural Information Processing Systems 33, 2020
652020
Representational drift: Emerging theories for continual learning and experimental future directions
LN Driscoll, L Duncker, CD Harvey
Current Opinion in Neurobiology 76, 102609, 2022
542022
Temporal alignment and latent Gaussian process factor inference in population spike trains
L Duncker, M Sahani
Advances in neural information processing systems 31, 2018
542018
Dynamics on the manifold: Identifying computational dynamical activity from neural population recordings
L Duncker, M Sahani
Current opinion in neurobiology 70, 163-170, 2021
392021
Direct neural perturbations reveal a dynamical mechanism for robust computation
DJ O'Shea*, L Duncker*, W Goo, X Sun, S Vyas, EM Trautmann, I Diester, ...
bioRxiv, 2022
92022
Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs
J Costacurta, L Duncker, B Sheffer, W Gillis, C Weinreb, J Markowitz, ...
Advances in neural information processing systems 35, 23838-23850, 2022
82022
Temporal alignment and latent gaussian process factor inference in population spike trains. bioRxiv
L Duncker, M Sahani
42018
Low-rank non-stationary population dynamics can account for robustness to optogenetic stimulation
L Duncker, D O’Shea, W Goo, K Shenoy, M Sahani
42017
Scalable variational inference for low-rank spatiotemporal receptive fields
L Duncker, KM Ruda, GD Field, JW Pillow
Neural computation 35 (6), 995-1027, 2023
32023
Dynamical structure in neural population activity
L Duncker
UCL (University College London), 2021
2021
Introductory Notes on Probability and Statistical Inference
L Duncker
2017
Supplementary Material: Organizing recurrent network dynamics by task-computation to enable continual learning
L Duncker*, LN Driscoll*, KV Shenoy, M Sahani, D Sussillo
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Articles 1–13