Dr HaDi MaBouDi
Department of Computer Science
Research Associate
Member of the Complex Systems Modelling research group
h.maboudi@sheffield.ac.uk
+44 114 222 1800
+44 114 222 1800
Regent Court (DCS)
Full contact details
Dr HaDi MaBouDi
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Research interests
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- Neuroethology
- Cognition
- Computational neuroscience
- Machine Learning
- Information theory
- Publications
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Journal articles
- Foraging bumblebees selectively attend to other types of bees based on their reward-predictive value. Insects, 11(11).
- Honeybees solve a multi-comparison ranking task by probability matching. Proceedings of the Royal Society B: Biological Sciences, 287(1934).
- Bumblebees learn a relational rule but switch to a win-stay/lose-switch heuristic after extensive training. Frontiers in Behavioral Neuroscience, 14.
- Counting insects. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1740), 20160513-20160513.
- 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.
- Representation of higher-order statistical structures in natural scenes via spatial phase distributions. Vision Research, 120, 61-73.
- Bumblebees learn a relational rule but switch to a win-stay/lose-switch heuristic after extensive training.
- Bumblebees use sequential scanning of countable items in visual patterns to solve numerosity tasks. Integrative and Comparative Biology.
- Honey bees solve a multi-comparison ranking task by probability matching.
- Learning Complex Representations from Spatial Phase Statistics of Natural Scenes.
- 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.
- 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
Software / Code
Datasets
- Foraging bumblebees selectively attend to other types of bees based on their reward-predictive value. Insects, 11(11).