Devika Narain

contact

  • d.narain@erasmusmc.nl
  • +31 010 7038943
  • Room: Ee1293
  • Dr. Molewaterplein 40, Faculty Building, Rotterdam, The Netherlands

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Dr. ir. Devika Narain (D.)

Biography

Dr. Narain is the principal investigator of the Circuit Dynamics lab at the Neuroscience department of Erasmus Medical University, Rotterdam, The Netherlands. Her group combines mathematics, engineering, and neuroscience methods to investigate how neural circuits generate precisely timed behaviors. Before returning to the Netherlands, she was a postdoctoral fellow at MIT's McGovern Institute for Brain Research at Prof. Mehrdad Jazayeri's lab. She was also trained at the NASA Ames Research Center in Mountain View, California, and the Max Planck Institute for Intelligent Systems in Tuebingen, Germany. Prior to this, she studied electrical engineering and neuroscience. Her work has been supported by NWO's Rubicon grant, the EU Marie Curie reintegration grant, the NWO Vidi, Aspasia, Gravitation, and AINED grants.

Publications

1. Cerebellar encoding of prior knowledge of temporal statistics

Koppen, J., Bayones, L., Klinkhamer, I., Runge, M., & Narain, D.
in 2024
DOI: https://doi.org/10.1101/2024.08.19.608550

2. Fast implicit and slow explicit learning of temporal context in cortico-cerebellar loops

Mangili, L.*, Wissing, C.*, & Narain, D.
in 2024
DOI: https://doi.org/10.1101/2024.08.19.608568

3. Heterogeneous encoding of temporal stimuli in the cerebellar cortex

De Zeeuw, C.*. Koppen, J.*, Bregman, G.G.B., Runge, M., & Narain, D.
in Nature Communications 2023
DOI: 10.1038/s41467-023-43139-9 PDF

4. Neural Implementations of Bayesian Inference

H. Sohn & D. Narain
in Current Opinion in Neurobiology 2021
DOI: https://doi.org/10.1016/j.conb.2021.09.008 PDF

5. NeuroGym: An open resource for developing and sharing neuroscience tasks

Manuel Molano-Mazon, Joao Barbosa, Jordi Pastor-Ciurana, Marta Fradera, Ru-yuan Zhang, Jeremy Forest, Jorge del Pozo Lerida, Li Ji-An, Christopher J Cueva, Jaime de la Rocha, Devika Narain, Guangyu Robert Yang
in 2021
DOI: 10.31234/osf.io/aqc9n

6. Bayesian computations through latent cortical dynamics.

H. Sohn*, D. Narain * , N. Mierhaege* & M. Jazayeri
in Neuron 2019
DOI: 10.1016/j.neuron.2019.06.012

7. Flexible timing by temporal scaling of cortical responses.

J. Wang*, D. Narain * et al.
in Nature neuroscience 2018
DOI: 10.1038/s41593-017-0028-6

8. A dynamical systems perspective on flexible motor timing.

E.D. Remington*, S.W. Egger*, D. Narain, J. Wang & M. Jazayeri
in Trends in Cognitive Science 2018
DOI: 10.1016/j.tics.2018.07.010

9. Flexible sensorimotor computations through rapid reconfiguration of cortical dynamics.

E.D. Remington, D. Narain, E.A. Hosseini, and M. Jazayeri
in Neuron 2018
DOI: 10.1016/j.neuron.2018.05.020

10. A cerebellar mechanism for learning prior distributions of time intervals.

D. Narain, E.D. Remington, C.I. De Zeeuw, & M. Jazayeri
in Nature Communications 2018
DOI: 10.1038/s41467-017-02516-x
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