Dr Claire Rind
Reader in Invertebrate Neurobiology
- Email: firstname.lastname@example.org
- Telephone: +44 (0) 191 208 6681
- Personal Website: http://www.staff.ncl.ac.uk/claire.rind/try1.htm
- Address: Institute of Neuroscience
Newcastle NE1 7RU
Understanding sensory processing and its use in guiding behaviour. Building artificial visual systems. Applying work to collision avoidance in vehicles. Discovering circuitry for collision avoidance. Computational modelling. Reconsruction of fine ultrastructural details of sensory ciruitry
The principal conclusions of my recent research are that neurones responding selectively to objects moving in depth have a common receptive field organisation. Incorporating this organisation into an artificial network enabled the network to respond preferentially to approaching objects, regardless of the exact approach trajectory. This work has implications for artificial collision avoidance devices and the network is the first to track the rapidly expanding images of objects approaching on a collision course. A number of reports assessing the potential value of the neural network, based on the input organisation of the LGMD/DCMD neurones, for collision avoidance by autonomous guided vehicles have been published.
Currently I am part of a European Consortium consisting of an industrial partner: Volvo Car Corporation and two University partners Departments of Electronics (Seville ,Spain)and Analogical and Neural Computing Laboratory (ANCL), Computer and Automation, Reseach Institute of the Hungarian Academy of Sciences, Computer and (Budapest, Hungary). We are designing collision sensors based on the locust visual system for use on cars. Collision threat detection and avoidance defines a major Research and Development challenge for the automotive industry. Adaptive cruise-control systems incorporating some collision-avoidance features are offered today as pricey options on luxury cars. However, the performance of these systems is not always sufficient, and their cost is too high for wide use. Significant improvements are still needed for these systems to perform satisfactory and to become popular.
Future cruise-control systems will probably fuse data from different types of sensors, with optical images, and therefore vision, playing a significant role. However, present conventional approaches to vision, consisting of a camera that acquires the data and a separate digital processor that process it, are too slow for the most demanding tasks. New solutions are needed. Our EC funded project embraces advanced research and development activities focused on creating single-chip bio-inspired visual perception systems for automotive applications. These systems will be based on the outstanding performance of natural visual sensory-processing systems. As a central reference point, the project focuses on the integrated visual neuro-system for collision avoidance found in grasshoppers, which will be studied, modelled and emulated by means of sensory-processing chips in standard CMOS technologies. The resulting electronic systems will be able to operate correctly within the wide range of environmental conditions encountered in real-life automotive applications, and will meet the strict reliability standards of the car industry.
2003-2006 BBSRC 225K "The roles of the locust DCMD neurone in the control of behaviour"Co-investigator with Dr P Simmons
2003-2004 Joint Royal Society and Japan Society for the promotion of Science Fellowship 50K, 2003-2004
2002-2005 EU 5th Framework € 2,500K (509K to School of Biology) PI
2000-2003 GATSBY CHARITABLE FOUNDATION 60K Studentship plus support grant. PI
Relevance to collision avoidance in cars and other vehicles. I am part of a European Consortium consisting of an industrial partner: Volvo Car Corporation and and a two university partners National Centre for Microelectronics (Seville,Spain) and Centre for Cellular Neural Newtorks (Budapest, Hungary). We are designing a collision sensor based on the locust visual system for use on cars. Collision threat detection and avoidance defines a major Research and Development challenge for the automotive industry. The project brings together a multi-disciplinary team including mixed-signal microelectronic designers (IMSE-CNM), one automotive industry (VCC), neurobiologists (University of Newcastle upon Tyne)), and an opto-electronic information technology company (ANCL) to target the development of these new solutions.The EC funded project embraces advanced research and development activities focused on creating single-chip bio-inspired visual perception systems for automotive applications. I am the project leader for the current phase of the work.
- Simmons PJ, Sztarker J, Rind FC. Looming detection by identified visual interneurons during larval development of the locust Locusta migratoria. Journal of Experimental Biology 2013, 216, 2266-2275.
- Yue S, Rind FC. Postsynaptic organisations of directional selective visual neural networks for collision detection. Neurocomputing 2013, 103, 50-62.
- George DM, Rind FC, Bendall MW, Taylor MA, Gatehouse AMR. Developmental studies of transgenic maize expressing Cry1Ab on the African stem borer, Busseola fusca, effects on midgut cellular structure. Pest Management Science 2012, 68(3), 330-339.
- Santer RD, Rind FC, Simmons PJ. Predator versus Prey: Locust Looming-Detector Neuron and Behavioural Responses to Stimuli Representing Attacking Bird Predators. PloS One 2012, 7(11), e50146.
- Leitinger G, Masich S, Neumüller J, Pabst MA, Pavelka M, Rind FC, Shupliakov O, Simmons PJ, Kolb D. Structural organization of the presynaptic density at identified synapses in the locust central nervous system. Journal of Comparative Neurology 2012, 520(2), 384-400.
- Yue S, Rind FC. Visually stimulated motor control for a robot with a pair of LGMD visual neural networks. International Journal of Advanced Mechatronic Systems 2012, 4(5-6), 237-247.
- Rind FC, Birkett CL, Duncan BJA, Ranken AJ. Tarantulas cling to smooth vertical surfaces by secreting silk from their feet. Journal of Experimental Biology 2011, 214(11), 1874-1879.
- Yue S, Santer RD, Yamawaki Y, Rind FC. Reactive direction control for a mobile robot: a locust-like control of escape direction emerges when a bilateral pair of model locust visual neurons are integrated. Autonomous Robots 2010, 28(2), 151-167.
- Rind FC, Santer RD, Wright GA. Arousal facilitates collision avoidance mediated by a looming sensitive visual neuron in a flying locust. Journal of Neurophysiology 2008, 100(2), 670-680.
- Liñán-Cembrano G, Carranza L, Rind C, Zarandy A, Soininen M, Rodríguez-Vázquez A. Insect-Vision Inspired Collision Warning Vision Processor for Automobiles. IEEE Circuits and Systems magazine 2008, 8(2), 6-24.
- Santer RD, Yamawaki Y, Rind FC, Simmons PJ. Preparing for escape: An examination of the role of the DCMD neuron in locust escape jumps. Journal of Comparative Physiology A 2008, 194(1), 69-77.
- Stafford R, Santer RD, Rind FC. A bio-inspired visual collision detection mechanism for cars: Combining insect inspired neurons to create a robust system. BioSystems 2007, 87(2-3), 164-171.
- Yue S, Rind FC. A synthetic vision system using directionally selective motion detectors to recognize collision. Artificial Life 2007, 13(2), 93-122.
- Stafford R, Rind FC. Data mining neural spike trains for the identification of behavioural triggers using evolutionary algorithms. Neurocomputing 2007, 70(4-6), 1079-1084.
- Stafford R, Santer RD, Rind FC. The role of behavioural ecology in the design of bio-inspired technology. Animal Behaviour 2007, 74(6), 1813-1819.
- Yue S, Rind FC, Keil MS, Cuadri J, Stafford R. A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment. Neurocomputing 2006, 69(13-15), 1591-1598.
- Yue S, Rind FC. Collision detection in complex dynamic scenes using an LGMD-based visual neural network with feature enhancement. IEEE Transactions on Neural Networks 2006, 17(3), 705-716.
- Santer RD, Rind FC, Stafford R, Simmons PJ. Role of an identified looming-sensitive neuron in triggering a flying locust's escape. Journal of Neurophysiology 2006, 95(6), 3391-3400.
- Yue S, Rind FC. Visual motion pattern extraction and fusion for collision detection in complex dynamic scenes. Computer Vision and Image Understanding 2006, 104(1), 48-60.
- Shigang Y, Rind FC. A collision detection system for a mobile robot inspired by the locust visual system. In: Proceedings - IEEE International Conference on Robotics and Automation. 2005, Barcelona, Spain: IEEE.
- Rind FC. Bioinspired sensors: from insect eyes to robot vision. In: Christensen, T.A, ed. Methods in Insect Sensory Neuroscience. London, New York: CRC Press, 2005, pp.213-235.
- Rind FC, Santer RD. Collision avoidance and a looming sensitive neuron: Size matters but biggest is not necessarily best. Proceedings of the Royal Society B: Biological Sciences 2004, 271(Suppl. 3), S27-S29.
- Leitinger G, Pabst MA, Rind FC, Simmons PJ. Differential expression of synapsin in visual neurons of the locust Schistocerca gregaria. Journal of Comparative Neurology 2004, 480(1), 89-100.
- Santer RD, Stafford R, Rind FC. Retinally-generated saccadic suppression of a locust looming-detector neuron: Investigations using a robot locust. Journal of the Royal Society Interface 2004, 1(1), 61-77.
- Rind FC, Santer RD, Blanchard JM, Verschure PFMJ. Locust Looming Detectors for Robot Sensors. In: Barth, FG; Humphrey, JAC; Secomb, TW, ed. Sensors and Sensing in Biology and Engineering. New York, USA: Springer, 2003, pp.237-250.
- Rind FC. Motion detectors in the locust visual system: From biology to robot sensors. Microscopy Research and Technique 2002, 56(4), 256-269.
- Blanchard M, Rind C, Verschure PFMJ. How accurate need sensory coding be for behaviour? Experiments using a mobile robot. Neurocomputing 2001, 38-40, 1113-1119.
- Rind FC, Blanchard M, Verschure PFMJ. Collision avoidance in a robot using looming detectors from a locust. In: Proceedings of SPIE - The International Society for Optical Engineering. 2000, Boston, USA: The International Society for Optical Engineering.
- Subramaniam K, Shukla S, Dlay SS, Rind FC. Looming motion segmentation in vehicle tracking system using wavelet transforms. In: Advances in Physics, Electronics and Signal Processing Applications. World Scientific Engineering Society, 2000, pp.252-257.
- Rind FC, Simmons PJ. Seeing what is coming: Building collision-sensitive neurones. Trends in Neurosciences 1999, 22(5), 215-220.
- Rind FC, Simmons PJ. The many ways of building collision-sensitive neurons - Reply. Trends in Neurosciences 1999, 22(10), 438-438.
- Blanchard M, Verschure PMJ, Rind FC. Using a mobile robot to study locust collision avoidance responses. International Journal of Neural Systems 1999, 9(5), 405-410.
- Subramaniam K, Dlay SS, Rind FC. Vehicle detection and tracking using wavelet transforms. In: Computers and Computational Engineering in control. Singapore: World Scientific and Engineering Society Press, 1999, pp.335-340.
- F. C. Rind and P. J. Simmons. Local circuit for the computation of object approach by an identified visual neuron in the locust. Journal of Comparative Neurology 1998, 395, 405-415.
- P. J. Simmons and F. C. Rind. Responses to object approach by a wide field visual neurone, the LGMD2 of the locust: Characterization and image cues. Journal of Comparative Physiology a-Sensory Neural and Behavioral Physiology 1997, 180, 203-214.
- F. C. Rind and P. J. Simmons. Signalling of object approach by the DCMD neuron of the locust. Journal of Neurophysiology 1997, 77, 1029-1033.
- F. C. Rind and D. I. Bramwell. Neural network based on the input organization of an identified neuron signaling impending collision. Journal of Neurophysiology 1996, 75, 967-985.
- Cocks E, Taggart M, Rind FC, White K. A guide to analysis and reconstruction of serial block face scanning electron microscopy data. Journal of Microscopy 2018, ePub ahead of print.
- Miriyala A, Kessler S, Rind FC, Wright GA. Burst Firing in Bee Gustatory Neurons Prevents Adaptation. Current Biology 2018, 28(10), 1585-1594.e3.
- Wernitznig S, Sele M, Urschler M, Zankel A, Polt P, Rind FC, Leitinger G. Optimizing the 3D-reconstruction technique for serial block-face scanning electron microscopy. Journal of Neuroscience Methods 2016, 264, 16-24.
- Rind FC, Wernitznig S, Polt P, Zankel A, Gutl D, Sztarker J, Leitinger G. Two identified looming detectors in the locust: ubiquitous lateral connections among their inputs contribute to selective responses to looming objects. Scientific Reports 2016, 6, 35525.
- Wernitznig S, Rind FC, Polt P, Zankel A, Pritz E, Kolb D, Bock E, Leitinger G. Synaptic Connections of First-Stage Visual Neurons in the Locust Schistocerca gregaria Extend Evolution of Tetrad Synapses Back 200 Million Years. Journal of Comparative Neurology 2015, 523(2), 298-312.
- Sztarker J, Rind FC. A look into the cockpit of the developing locust: Looming detectors and predator avoidance. Developmental Neurobiology 2014, 74(11), 1078-1095.
- RIND FC. A CHEMICAL SYNAPSE BETWEEN 2 MOTION DETECTING NEURONS IN THE LOCUST BRAIN. JOURNAL OF EXPERIMENTAL BIOLOGY 1984, 110(MAY), 143-&.