HaDi MaBouDi, Ph.D
Affiliations: | 2010-2015 | School of Cognitive Sciences | IPM, Ōsaka-shi, Ōsaka-fu, Japan |
| 2015-2018 | School of Biological and Chemical Sciences | Queen Mary University of London, London, England, United Kingdom | |
| 2018-2022 | Department of Computer Science | University of Sheffield, Sheffield, England, United Kingdom |
Area:
Animal cognition, Neuroethology, RoboticGoogle:
"HaDi MaBouDi"Mean distance: 15.81 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Shun-ichi Amari | grad student | IPM | |
| Hamid Soltanian-Zadeh | grad student | IPM | |
| Lars Chittka | post-doc | QMUL | |
| James A.R. Marshall | post-doc | University of Sheffield (Robotree) | |
| Mikko Juusola | research scientist | University of Sheffield |
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Publications
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| Bridges AD, MaBouDi H, Procenko O, et al. (2023) Bumblebees acquire alternative puzzle-box solutions via social learning. Plos Biology. 21: e3002019 |
| MaBouDi H, Barron AB, Li S, et al. (2021) Non-numerical strategies used by bees to solve numerical cognition tasks. Proceedings. Biological Sciences. 288: 20202711 |
| MaBouDi H, Solvi C, Chittka L. (2020) Bumblebees Learn a Relational Rule but Switch to a Win-Stay/Lose-Switch Heuristic After Extensive Training. Frontiers in Behavioral Neuroscience. 14: 137 |
| MaBouDi H, Marshall JAR, Barron AB. (2020) Honeybees solve a multi-comparison ranking task by probability matching. Proceedings. Biological Sciences. 287: 20201525 |
| MaBouDi H, Dona HSG, Gatto E, et al. (2020) Bumblebees use sequential scanning of countable items in visual patterns to solve numerosity tasks. Integrative and Comparative Biology |
| Vasas V, Peng F, MaBouDi H, et al. (2019) Randomly weighted receptor inputs can explain the large diversity of colour-coding neurons in the bee visual system. Scientific Reports. 9: 8330 |
| Skorupski P, MaBouDi H, Galpayage Dona HS, et al. (2017) Counting insects. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 373 |
| Li L, MaBouDi H, Egertová M, et al. (2017) A possible structural correlate of learning performance on a colour discrimination task in the brain of the bumblebee. Proceedings. Biological Sciences. 284 |
| MaBouDi H, Shimazaki H, Giurfa M, et al. (2017) Olfactory learning without the mushroom bodies: Spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied complexities. Plos Computational Biology. 13: e1005551 |
| MaBouDi H, Shimazaki H, Amari SI, et al. (2015) Representation of higher-order statistical structures in natural scenes via spatial phase distributions. Vision Research |