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Saket Navlakha

Affiliations: 
Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 
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Parents

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Carlton Kingsford grad student University of Maryland
Ziv Bar-Joseph post-doc Carnegie Mellon (MathTree)

Children

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Arjun Chandrasekhar grad student Salk Institute for Biological Studies, and University of California, San Diego
Javier How grad student Salk Institute for Biological Studies, and University of California, San Diego

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Publications

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How JJ, Navlakha S, Chalasani SH. (2021) Neural network features distinguish chemosensory stimuli in Caenorhabditis elegans. Plos Computational Biology. 17: e1009591
Chandrasekhar A, Marshall JAR, Austin C, et al. (2021) Better tired than lost: Turtle ant trail networks favor coherence over short edges. Plos Computational Biology. 17: e1009523
Shen Y, Wang J, Navlakha S. (2021) A Correspondence between Normalization Strategies in Artificial and Biological Neural Networks. Neural Computation. 1-25
Conn A, Chandrasekhar A, Rongen MV, et al. (2019) Network trade-offs and homeostasis in Arabidopsis shoot architectures. Plos Computational Biology. 15: e1007325
Rashid S, Long Z, Singh S, et al. (2019) Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains. Proceedings of the National Academy of Sciences of the United States of America
Suen JY, Navlakha S. (2019) Travel in city road networks follows similar transport trade-off principles to neural and plant arbors. Journal of the Royal Society, Interface. 16: 20190041
Chandrasekhar A, Navlakha S. (2019) Neural arbors are Pareto optimal. Proceedings. Biological Sciences. 286: 20182727
Rashid S, Singh S, Navlakha S, et al. (2019) A bacterial based distributed gradient descent model for mass scale evacuations Swarm and Evolutionary Computation. 46: 97-103
Chandrasekhar A, Gordon DM, Navlakha S. (2018) A distributed algorithm to maintain and repair the trail networks of arboreal ants. Scientific Reports. 8: 9297
How JJ, Navlakha S. (2018) Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks. Neural Computation. 1-35
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