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Dhruva V. Raman
Dhruva V. Raman
Postdoctoral associate, Unversity of Cambridge
Bestätigte E-Mail-Adresse bei cam.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Stable task information from an unstable neural population
ME Rule, AR Loback, DV Raman, LN Driscoll, CD Harvey, T O'Leary
Elife 9, e51121, 2020
752020
Delineating parameter unidentifiabilities in complex models
DV Raman, J Anderson, A Papachristodoulou
Physical Review E 95 (3), 032314, 2017
392017
Fundamental bounds on learning performance in neural circuits
DV Raman, AP Rotondo, T O’Leary
Proceedings of the National Academy of Sciences 116 (21), 10537-10546, 2019
332019
Optimal plasticity for memory maintenance during ongoing synaptic change
DV Raman, T O'Leary
elife 10, e62912, 2021
172021
The geometry of sloppiness
E Dufresne, HA Harrington, DV Raman
arXiv preprint arXiv:1608.05679, 2016
142016
Frozen algorithms: how the brain's wiring facilitates learning
DV Raman, T O’Leary
Current Opinion in Neurobiology 67, 207-214, 2021
122021
On the performance of nonlinear dynamical systems under parameter perturbation
DV Raman, J Anderson, A Papachristodoulou
Automatica 63, 265-273, 2016
72016
Human generalization of internal representations through prototype learning with goal-directed attention
WW Pettine, DV Raman, AD Redish, JD Murray
Nature Human Behaviour 7 (3), 442-463, 2023
52023
Optimal synaptic dynamics for memory maintenance in the presence of noise
DV Raman, T O’leary
BioRxiv, 2020.08. 19.257220, 2020
22020
A new approach for estimating the robustness of parameter estimates to measurement noise
DV Raman, J Anderson, A Papachristodoulou
2016 American Control Conference (ACC), 1820-1825, 2016
22016
Stable task information from an unstable neural population
AR Loback, ME Rule, DV Raman, LN Driscoll, CD Harvey, T O’Leary
Preprint, Neuroscience, 2019
12019
On the identifiability of highly parameterised models of physical processes
D Raman
University of Oxford, 2016
12016
How Cerebellar Architecture and Dense Activation Patterns Facilitate Online Learning in Dynamic Tasks
AP Rotondo, DV Raman, T O'Leary
Available at SSRN 4391017, 0
1
How Cerebellar Architecture and Dense Activation Patterns Facilitate Online Learning in Dynamic Tasks
DV Raman, T O’Leary
2022
How cerebellar architecture facilitates rapid online learning
AP Rotondo, DV Raman, T O’Leary
bioRxiv, 2022.10. 20.512268, 2022
2022
How cerebellar architecture aids online motor learning
AP Rotondo, T O'Leary, DV Raman
JOURNAL OF COMPUTATIONAL NEUROSCIENCE 49 (SUPPL 1), S149-S151, 2021
2021
Human latent-state generalization through prototype learning with discriminative attention
JDM Pettine, Warren W., Dhruva V. Raman, A. D. Redish
PsyArXiv, 2021
2021
The geometry of Sloppiness
DV Raman, HA Harrington, E Dufresne, HA Harrington, DV Raman
Journal of Algebraic Statistics 9 (1), 2018
2018
Exercise 5 A brief introduction to LMIs
S Soudjani, MS Darup, D Raman
2015
Bounds for Input-and State-to-Output Properties of Uncertain Linear Systems
G Valmorbida, D Raman, J Anderson
IFAC-PapersOnLine 48 (14), 1-6, 2015
2015
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