Current External Funding
NoTremorProject website: http://www.notremor.eu/notremor/
Formal title: Virtual, Physiological and Computational Neuromuscular Models for the Predictive Treatment of Parkinsonís Disease
Funding details: FP7-ICT project grant 610391
ABRG Investigators: Kevin Gurney (lead), Sean Anderson
ABRG Researchers: Alexander Blenkinsop, Sebastian James
Summary: NoTremor aims to provide patient specific computational models of the coupled brain and neuromuscular systems that will be subsequently used to improve the quality of analysis, prediction and progression of Parkinsonís disease. In particular, it aspires to establish the neglected link between brain modelling and neuromuscular systems that will result in a holistic representation of the physiology for PD patients.
Green Brain: Computational Modelling of the Honeybee BrainFunding details: EPSRC project grant EP/J019534/1
ABRG Investigators: Kevin Gurney
Summary: Building intelligent machines that can perform complex cognitive tasks as well as or better than the human brain is a long-standing challenge of modern science. Recently the Blue Brain initiative, also partially funded by IBM, set out to build a real-scale model of a cortical column of the human brain, moving us closer to the goal of eventually building an artificial brain that works like its biological counterpart. In the Green Brain project we propose to build such an artificial brain, but of the smaller brain of the honeybee. Bees have a surprisingly large cognitive capacity including transfer of learned associations across sensory modalities, and learning abstract concepts such as the categories of "the same" and "different". At the same time their brains are much smaller, structured and (proportionally) much better researched than the complex human brain. In the Green Brain project we will build detailed computer models of the two most important sensory systems of the bee, the senses of smell (olfactory system) and of sight (visual system). This model will be implemented on state-of-the-art massively parallel graphical processing unit (GPU) based super-computers, a new technology spearheaded by NVIDIA Corporation who is supporting this project with GPU hardware donations
EFAA: Experimental Functional Android AssistantProject website: http://efaa.upf.edu
Funding details: European Union Framework 7 ICT project FP7-ICT-IP-270490
ABRG Investigators: Tony Prescott (Sheffield Lead)
Summary: As the introduction of robots into our daily life becomes a reality, the social compatibility of such robots gains importance. In order to meaningfully interact with humans, robots must develop an advanced real-world social intelligence that includes novel perceptual, behavioural, emotional, motivational and cognitive capabilities. The EFAA project will contribute to the development of socially intelligent humanoids by advancing the state of the art in both single human-like social capabilities and in their integration in a consistent architecture.