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Humans can walk economically on uneven terrain without deliberative optimization with a Simple Feedback Control Policy

Darici, O.; Kuo, A.

2025-01-11 neuroscience
10.1101/2025.01.10.632428 bioRxiv
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Withdrawal StatementThe author Osman Darici has withdrawn this manuscript because after further reflection and ongoing work, the author has determined that the analyses presented in the current version of the preprint are incomplete and require substantial revision and further development. As such, the author believes the manuscript does not yet reflect the standards that he aims to uphold in his scientific contributions. Therefore, the author does not wish this version to be considered a part of the formal scientific record and does not wish it to be cited as a reference. If you have any questions, please contact the corresponding author.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
PLOS Computational Biology
● 1863 papers in training set
Top 0.8%
23.1%
Similar papers in this journal
2
PLOS ONE
● 5266 papers in training set
Top 11%
15.6%
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3
Royal Society Open Science
● 214 papers in training set
Top 0.1%
10.0%
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4
Journal of The Royal Society Interface
● 235 papers in training set
Top 0.6%
5.7%
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50% of probability mass above
5
Scientific Reports
○ 3612 papers in training set
Top 13%
5.7%
Similar papers in this journal
6
Frontiers in Computational Neuroscience
○ 60 papers in training set
Top 0.4%
3.3%
7
Frontiers in Bioengineering and Biotechnology
○ 98 papers in training set
Top 0.8%
2.2%
8
Journal of NeuroEngineering and Rehabilitation
○ 36 papers in training set
Top 0.3%
2.0%
9
iScience
○ 1154 papers in training set
Top 20%
1.6%
10
eLife
● 5828 papers in training set
Top 53%
1.6%
11
The Journal of Experimental Biology
17 papers in training set
Top 0.1%
1.5%
12
Journal of Neurophysiology
● 302 papers in training set
Top 2%
1.5%
13
Chaos, Solitons & Fractals
○ 32 papers in training set
Top 0.6%
1.2%
14
Nature Communications
○ 5641 papers in training set
Top 49%
1.2%
15
Frontiers in Neuroscience
○ 256 papers in training set
Top 5%
1.1%
16
Mathematical Biosciences
○ 49 papers in training set
Top 1%
1.0%
17
Network Neuroscience
● 126 papers in training set
Top 1%
0.9%
18
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 43%
0.6%
19
Peer Community Journal
● 281 papers in training set
Top 5%
0.6%
20
Biological Cybernetics
○ 15 papers in training set
Top 0.2%
0.6%
21
PeerJ
◐ 308 papers in training set
Top 12%
0.6%
22
Neural Computation
● 39 papers in training set
Top 0.9%
0.5%
23
Proceedings of the Royal Society B: Biological Sciences
● 393 papers in training set
Top 7%
0.5%
24
Heliyon
○ 152 papers in training set
Top 10%
0.5%
25
Bulletin of Mathematical Biology
○ 92 papers in training set
Top 2%
0.5%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.