A distributed algorithm to maintain and repair the trail networks of arboreal ants A Chandrasekhar, DM Gordon, S Navlakha Scientific reports 8 (1), 9297, 2018 | 27 | 2018 |
Neural arbors are Pareto optimal A Chandrasekhar, S Navlakha Proceedings of the Royal Society B 286 (1902), 20182727, 2019 | 16 | 2019 |
Better tired than lost: Turtle ant trail networks favor coherence over short edges A Chandrasekhar, JAR Marshall, C Austin, S Navlakha, DM Gordon PLoS computational biology 17 (10), e1009523, 2021 | 12 | 2021 |
Network trade-offs and homeostasis in Arabidopsis shoot architectures A Conn, A Chandrasekhar, M Rongen, O Leyser, J Chory, S Navlakha PLoS computational biology 15 (9), e1007325, 2019 | 4 | 2019 |
A mathematical framework for analyzing wild tomato root architecture A Chandrasekhar, MM Julkowska Journal of Computational Biology 29 (4), 306-316, 2022 | 2 | 2022 |
Derivation and Analysis of Distributed Computing Algorithms in Biological Systems A Chandrasekhar University of California, San Diego, 2020 | | 2020 |
Neural arbors are Pareto optimal Supplementary information A Chandrasekhar, S Navlakha | | |