Publications
Sensorimotor integration enhances temperature stimulus processing
Anderson, L.S., Costabile, J.D., Schwinn, S., Calderon, D., & Haesemeyer, M. (2024)
BioRxiv, 2024.10.15.618474
Vertebrate behavioral thermoregulation: knowledge and future directions.
Cutler, B., Haesemeyer, M. (2024).
Neurophotonics, 11, 033409.
The preoptic area and dorsal habenula jointly support homeostatic navigation in larval zebrafish.
Palieri, V., Paoli, E., Wu, Y. K., Haesemeyer, M., Grunwald Kadow, I. C., & Portugues, R. (2024)
Current Biology, 34(3), 489–504
Model discovery to link neural activity to behavioral tasks.
Costabile, J. D., Balakrishnan, K. A., Schwinn, S., & Haesemeyer, M. (2023).
eLife, 12, e83289.
Thermoregulation in fish.
Haesemeyer M. (2020).
Molecular and cellular endocrinology, 518, 110986.
Convergent Temperature Representations in Artificial and Biological Neural Networks.
Haesemeyer, M., Schier, A. F., & Engert, F. (2019).
Neuron, 103(6), 1123–1134.e6.
A Brain-wide Circuit Model of Heat-Evoked Swimming Behavior in Larval Zebrafish.
Haesemeyer, M., Robson, D. N., Li, J. M., Schier, A. F., & Engert, F. (2018).
Neuron, 98(4), 817–831.e6.
The structure and timescales of heat perception in larval zebrafish.
Haesemeyer, M., Robson, D. N., Li, J. M., Schier, A. F., & Engert, F. (2015).
Cell systems, 1(5), 338–348.
Datasets
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Code
https://bitbucket.org/jcostabile/tracking
https://github.com/haesemeyer/ZebraTrack
https://github.com/haesemeyer/plaid_pubData
https://doi.org/10.48324/dandi.000888/0.241014.2127
https://doi.org/10.48324/dandi.000889/0.241014.2127
https://doi.org/10.48324/dandi.000485/0.241014.2127
https://doi.org/10.48324/dandi.000486/0.241014.2127
https://doi.org/10.5281/zenodo.13930780
https://doi.org/10.5281/zenodo.13935291
https://doi.org/10.5281/zenodo.13935648 -
Raw data
https://dandiarchive.org/dandiset/000235/0.230316.1600
https://dandiarchive.org/dandiset/000236/0.230316.2031
https://dandiarchive.org/dandiset/000237/0.230316.1655
https://dandiarchive.org/dandiset/000238/0.230316.1519
Processed data
https://doi.org/10.5281/zenodo.7737788
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