Variability in locomotor dynamics reveals the critical role of feedback in task control.

Download

10.7554:eLife.51219.pdf

Date

2020-01-23

Author

Uyanik, I
Sefati, S
Stamper, Sa
Cho, Ka
Ankaralı, Mustafa Mert
Fortune, Es
Cowan, Nj

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

159
views

131
downloads

Animals vary considerably in size, shape, and physiological features across individuals, but yet achieve remarkably similar behavioral performances. We examined how animals compensate for morphophysiological variation by measuring the system dynamics of individual knifefish (Eigenmannia virescens) in a refuge tracking task. Kinematic measurements of Eigenmannia were used to generate individualized estimates of each fish's locomotor plant and controller, revealing substantial variability between fish. To test the impact of this variability on behavioral performance, these models were used to perform simulated 'brain transplants'-computationally swapping controllers and plants between individuals. We found that simulated closed-loop performance was robust to mismatch between plant and controller. This suggests that animals rely on feedback rather than precisely tuned neural controllers to compensate for morphophysiological variability.

Subject Keywords

General Biochemistry, Genetics and Molecular Biology, General Immunology and Microbiology, General Neuroscience, General Medicine

URI

https://hdl.handle.net/11511/49000

Journal

eLife

DOI

https://doi.org/10.7554/elife.51219

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Widespread splicing changes in human brain development and aging Mazin, Pavel; Xiong, Jieyi; Liu, Xiling; Yan, Zheng; Zhang, Xiaoyu; Li, Mingshuang; He, Liu; Somel, Mehmet; Yuan, Yuan; Chen, Yi-Ping Phoebe; Li, Na; Hu, Yuhui; Fu, Ning; Ning, Zhibin; Zeng, Rong; Yang, Hongyi; Chen, Wei; Gelfand, Mikhail; Khaitovich, Philipp (EMBO, 2013-01-01) While splicing differences between tissues, sexes and species are well documented, little is known about the extent and the nature of splicing changes that take place during human or mammalian development and aging. Here, using high-throughput transcriptome sequencing, we have characterized splicing changes that take place during whole human lifespan in two brain regions: prefrontal cortex and cerebellum. Identified changes were confirmed using independent human and rhesus macaque RNA-seq data sets, exon ar...
Dynamic transcriptional events mediated by estrogen receptor alpha Ayaz, Gamze; Yasar, Pelin; Olgun, Çağla Ece; Karakaya, Burcu; Kars, Gizem; Razizadeh, Negin; Yavuzl, Kerim; Turan, Gizem; Muyan, Mesut (Frontiers in Bioscience, 2019-01-01) 17beta-estradiol (E2), the main circulating estrogen hormone, is involved in a wide variety of physiological functions ranging from the development to the maintenance of many tissues and organs. The effects of E2 on cells are primarily conveyed by the transcription factors, estrogen receptor (ER) alpha and beta. The regulation of responsive genes by the well-defined ER alpha in response to E2 relies on complex and highly organized processes that dynamically integrate functions of many transcription regulato...
Hippocampal levels of ChAT, PKA, phospho-PKA and phospho-CaMKII alpha but not CaMKII alpha positively correlate with spatial learning skills in rats Gokcek-Sarac, Cigdem; Adalı, Orhan; Jakubowska-Dogru, Ewa (Elsevier BV, 2013-06-17) Despite very extensive investigations on molecular processes underlying memory formation, there are very few studies examining potential differences in the brain biochemistry between "good" and "poor" learners belonging to a random population of young animals. In the present study, an attempt was made to correlate individual variation in spatial learning in young-adult Long-Evans rats with hippocampal levels of protein kinase A (PKA), calcium/calmodulin-dependent protein kinase II alpha (CaMKII alpha), and ...
Humans, but Not Deep Neural Networks, Often Miss Giant Targets in Scenes ECKSTEIN, Miguel P.; KOEHLER, Kathryn; WELBOURNE, Lauren E.; Akbaş, Emre (Elsevier BV, 2017-09-25) Even with great advances in machine vision, animals are still unmatched in their ability to visually search complex scenes. Animals from bees [1, 2] to birds [3] to humans [4-12] learn about the statistical relations in visual environments to guide and aid their search for targets. Here, we investigate a novel manner in which humans utilize rapidly acquired information about scenes by guiding search toward likely target sizes. We show that humans often miss targets when their size is inconsistent with the r...
Complementary spatial and timing control in rhythmic arm movements Nickl, Robert W.; Ankaralı, Mustafa Mert; Cowan, Noah J. (American Physiological Society, 2019-04-01) Volitional rhythmic motor behaviors such as limb cycling and locomotion exhibit spatial and timing regularity. Such rhythmic movements are executed in the presence of exogenous visual and nonvisual cues, and previous studies have shown the pivotal role that vision plays in guiding spatial and temporal regulation. However, the influence of nonvisual information conveyed through auditory or touch sensory pathways, and its effect on control, remains poorly understood. To characterize the function of nonvisual ...

Citation Formats

I. Uyanik et al., “Variability in locomotor dynamics reveals the critical role of feedback in task control.,” eLife, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49000.