Dr HaDi MaBouDi

Journal articles

• Romero-González JE, Royka AL, MaBouDi H, Solvi C, Seppänen J-T & Loukola OJ (2020) Foraging bumblebees selectively attend to other types of bees based on their reward-predictive value. Insects, 11(11).
• MaBouDi H, Marshall JAR & Barron AB (2020) Honeybees solve a multi-comparison ranking task by probability matching. Proceedings of the Royal Society B: Biological Sciences, 287(1934).
• 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.
• Skorupski P, MaBouDi H, Galpayage Dona HS & Chittka L (2018) Counting insects. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1740), 20160513-20160513.
• Li L, MaBouDi H, Egertová M, Elphick MR, Chittka L & Perry CJ (2017) A possible structural correlate of learning performance on a colour discrimination task in the brain of the bumblebee. Proceedings of the Royal Society B: Biological Sciences, 284(1864), 20171323-20171323.
• MaBouDi H, Shimazaki H, Amari S-I & Soltanian-Zadeh H (2016) Representation of higher-order statistical structures in natural scenes via spatial phase distributions. Vision Research, 120, 61-73.
• MaBouDi H, Solvi C & Chittka L () Bumblebees learn a relational rule but switch to a win-stay/lose-switch heuristic after extensive training.
• MaBouDi H, Dona HSG, Gatto E, Loukola OJ, Buckley E, Onoufriou PD, Skorupski P & Chittka L () Bumblebees use sequential scanning of countable items in visual patterns to solve numerosity tasks. Integrative and Comparative Biology.
• MaBouDi H, Marshall JAR & Barron AB () Honey bees solve a multi-comparison ranking task by probability matching.
• MaBouDi H, Subramani K, Soltanian-Zadeh H, Amari S-I & Shimazaki H () Learning Complex Representations from Spatial Phase Statistics of Natural Scenes.
• MaBouDi H, Shimazaki H, Giurfa M & Chittka L () 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(6), e1005551-e1005551.
• Vasas V, Peng F, MaBouDi H & Chittka L () Randomly weighted receptor inputs can explain the large diversity of colour-coding neurons in the bee visual system. Scientific Reports, 9(1). View this article in WRRO

Conference proceedings papers

• Guiraud M, Maboudi H, Aniculaesei TC & Chittka L (2017) What Can Bee Scanning Tell Us About Visual Pattern Recognition. PERCEPTION, Vol. 46(10) (pp 1231-1231)
• Maboudi H & Chittka L (2016) A Neural Network Model for the Dynamics of Orientation Selectivity Neurons in the Bee Visual System. PERCEPTION, Vol. 45(6) (pp 690-691)
• Maboudi H & Abouzari M (2012) The role of higher-order statistical dependency of natural images in visual perception. PERCEPTION, Vol. 41 (pp 257-257)

Software / Code

• MaBouDi H, Barron A, Marshall J & Solvi C Honeybees “cheat” on math tests: examining the use of numerosity in numerical cognition tasks.

Datasets

• MaBouDi H, Solvi C & Chittka L Cognitive strategy switching in bumblebees.
• MaBouDi H, Marshall J & Barron A Data for 'Honeybees solve a multi-comparison ranking task by probability matching'.