A Simple Iterative Model Accurately Captures Complex Trapline Formation by Bumblebees Across Spatial Scales and Flower Arrangements. - Andrew M. Reynolds; Mathieu Lihoreau; Lars Chittka (PLoS Comput. Biol., 2013)

Hierarchical rank-based veiling light estimation for underwater dehazing. - Simon Emberton; Lars Chittka; Andrea Cavallaro (BMVC, 2015)

Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing. - Simon Emberton; Lars Chittka; Andrea Cavallaro; Menghua Wang (Remote. Sens., 2016)

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. - Hadi Maboudi; Hideaki Shimazaki; Martin Giurfa; Lars Chittka (PLoS Comput. Biol., 2017)

Insect Bio-inspired Neural Network Provides New Evidence on How Simple Feature Detectors Can Enable Complex Visual Generalization and Stimulus Location Invariance in the Miniature Brain of Honeybees. - Mark Roper; Chrisantha Fernando; Lars Chittka (PLoS Comput. Biol., 2017)

Underwater image and video dehazing with pure haze region segmentation. - Simon Emberton; Lars Chittka; Andrea Cavallaro (Comput. Vis. Image Underst., 2018)

The Importance of Spatial Visual Scene Parameters in Predicting Optimal Cone Sensitivities in Routinely Trichromatic Frugivorous Old-World Primates. - Tristan Matthews; Daniel Osório 002; Andrea Cavallaro; Lars Chittka (Frontiers Comput. Neurosci., 2018)

NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. - Xabier Iturbe; Nassim Abderrahmane; Jaume Abella 001; Sergi Alcaide; Eric Beyne; Henri-Pierre Charles; Christelle Charpin-Nicolle; Lars Chittka; Angélica Dávila; Arne Erdmann; Carles Estrada; Ander Fernández; et al. (DATE, 2023)