Prof Andrea Benucci

Andrea Benucci

Professor in Visual Neuroscience

School of Biological and Behavioural Sciences
Queen Mary University of London
ResearcherID ORCID Google Scholar LinkedIn Facebook X


visual perception, visual cortex, optogenetics, optical imaging, animal behavior, artificial neural networks


I research the neural mechanisms involved in visual processing adopting a research framework capable of linking neural architectures to the underlying computations. My preferred approach involves integrating experimental methods for optically dissecting neuronal circuits (optical imaging and patterned optogenetics) with large-scale dynamic network models based on artificial neural networks (aNNs). Computation within artificial neural networks arises from connectivity principles among units, inspired by how biological networks perform computations. Therefore, aNNs serve as an effective ‘mechanistic’ modelling framework for integrating computational, algorithmic, and implementation levels of analysis. I employ this unified computational and experimental approach to uncover the principles of neural computation that underlie visual perception.

To learn more about my work and opportunities to join my laboratory visit


Relevant PublicationPublications of specific relevance to the Centre for Brain and Behaviour


Relevant PublicationBolaños F, Orlandi JG, Aoki R, Jagadeesh AV, Gardner JL and Benucci A (2024). Efficient coding of natural images in the mouse visual cortex. Nature Communications, Springer Nature vol. 15 (1) 


Relevant PublicationYoung TR, Yamamoto M, Kikuchi SS, Yoshida AC, Abe T, Inoue K, Johansen JP, Benucci A, Yoshimura Y and Shimogori T (2023). Thalamocortical control of cell-type specificity drives circuits for processing whisker-related information in mouse barrel cortex. Nature Communications, Springer Nature vol. 14 (1) 
bullet iconOrlandi JG, Abdolrahmani M, Aoki R, Lyamzin DR and Benucci A (2023). Distributed context-dependent choice information in mouse posterior cortex. Nature Communications, Springer Nature vol. 14 (1) 


bullet iconAoki R, Tsubota T, Goya Y and Benucci A (2017). An automated platform for high-throughput mouse behavior and physiology with voluntary head-fixation. Nature Communications, Springer Nature vol. 8 (1) 


bullet iconMadisen L, Garner AR, Shimaoka D, Chuong AS, Klapoetke NC, Li L, van der Bourg A, Niino Y, Egolf L, Monetti C, Gu H, Mills M, Cheng A, Tasic B, Nguyen TN, Sunkin SM, Benucci A, Nagy A, Miyawaki A, Helmchen F, et al. (2015). Transgenic Mice for Intersectional Targeting of Neural Sensors and Effectors with High Specificity and Performance. Neuron, Elsevier vol. 85 (5), 942-958.  


bullet iconBenucci A, Saleem AB and Carandini M (2013). Adaptation maintains population homeostasis in primary visual cortex. Nature Neuroscience, Springer Nature vol. 16 (6), 724-729.  


bullet iconPearson RA, Barber AC, Rizzi M, Hippert C, Xue T, West EL, Duran Y, Smith AJ, Chuang JZ, Azam SA, Luhmann UFO, Benucci A, Sung CH, Bainbridge JW, Carandini M, Yau K-W, Sowden JC and Ali RR (2012). Restoration of vision after transplantation of photoreceptors. Nature, Springer Nature vol. 485 (7396), 99-103.