• Neuroscience imaging
  • EEG for psychology research
  • Animal Behaviour

Welcome to The Centre for Brain and Behaviour

Our research focuses on the psychology and neurophysiology of human and non-human species: development, mechanisms, challenges (psychopathology), and triumphs (well-being). We emphasise an interdisciplinary approach focused on the interface between psychology (cognition, communication, and social life) and biology (genomics, neuroscience, and ethology). 

Our translational research programs aim to address urgent societal challenges and needs: we are advancing interdisciplinary research in mental health, adaptive decision making and positive social interactions. Our Centre has access to specialised equipment for studying human cognition (electroencephalography, eye movement tracking, transcranial magnetic stimulation), sleep and exercise labs, a portable social observation lab, as well as wet lab facilities for studying animal behaviour and neuroscience using insect, zebrafish and mice models. Further strengthened by computational modelling and social psychology research, the Centre is particularly well placed for multidisciplinary translational science, building bridges from fundamental neuroscience to individual mental health research to the network science of social interactions. 

Our research is supported by a broad range of funding bodies, including the UKRI Councils (BBSRC, MRC, ESRC, AHRC, EPSRC), major private foundations (the Wellcome Trust, the Leverhulme Trust) and other charitable funds. 


Recent Publications

  • Bolaños F, Orlandi JG, Aoki R, Jagadeesh AV, Gardner JL and Benucci A (2024). Efficient coding of natural images in the mouse visual cortex. Nat Commun vol. 15 (1) 
  • Chittka L, Bridges A, Royka A, Wilson T, Lockwood C, Richter J and Juusola M (2024). Bumblebees socially learn behaviour too complex to innovate alone. Nature, Nature Research 
  • Mielke A, Badihi G, Graham KE, Grund C, Hashimoto C, Piel AK, Safryghin A, Slocombe KE, Stewart F, Wilke C, Zuberbühler K and Hobaiter C (2024). Many morphs: Parsing gesture signals from the noise. Behav Res Methods 

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