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Caroline Haimerl
Caroline Haimerl
Champalimaud Research
Verified email at nyu.edu
Title
Cited by
Cited by
Year
Awake hippocampal reactivations project onto orthogonal neuronal assemblies
A Malvache, S Reichinnek, V Villette, C Haimerl, R Cossart
Science 353 (6305), 1280-1283, 2016
1522016
Internal representation of hippocampal neuronal population spans a time-distance continuum
C Haimerl, D Angulo-Garcia, V Villette, S Reichinnek, A Torcini, R Cossart, ...
Proceedings of the National Academy of Sciences, 201718518, 2019
272019
Flexible information routing in neural populations through stochastic comodulation
C Haimerl, C Savin, EP Simoncelli
Advances in Neural Information Processing Systems 32, 2019
192019
Targeted comodulation supports flexible and accurate decoding in V1
C Haimerl, DA Ruff, MR Cohen, C Savin, EP Simoncelli
bioRxiv, 2021.02. 23.432351, 2021
52021
Neuromatch Academy: a 3-week, online summer school in computational neuroscience
B Hart, T Achakulvisut, A Adeyemi, A Akrami, B Alicea, A Alonso-Andres, ...
Journal of Open Source Education 5 (49), 2022
22022
Targeted V1 comodulation supports task-adaptive sensory decisions
C Haimerl, DA Ruff, MR Cohen, C Savin, EP Simoncelli
Nature Communications 14 (1), 7879, 2023
12023
Flexible and accurate decoding of neural populations through stochastic comodulation
C Haimerl, C Savin, EP Simoncelli
bioRxiv, 624387, 2019
12019
Fine-tuning hierarchical circuits through learned stochastic co-modulation
C Haimerl, EP Simoncelli, C Savin
NeurIPS'22 Workshop on All Things Attention: Bridging Different Perspectives …, 0
1*
Task adaption by biologically inspired stochastic comodulation
G Boeshertz, C Haimerl, C Savin
arXiv preprint arXiv:2311.15053, 2023
2023
Flexible Sensory Information Processing through Targeted Stochastic Co-modulation
C Haimerl
New York University, 2022
2022
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Articles 1–10