The Institute for Adaptive and Neural Computation (ANC) fosters the study of adaptive processes in both artificial and biological systems. The Institute encourages interdisciplinary and collaborative work bringing together the traditional disciplines of neuroscience, cognitive science, computer science, mathematics and statistics. Combined study of the adaptive nature of artificial and biological systems facilitates the many benefits accruing from treating essentially the same problem from different perspectives.

Institute for Adaptive and Neural Computation

Items in this Collection

  • CINIC-10 Is Not ImageNet or CIFAR-10 

    Darlow, Luke N; Crowley, Elliot J; Antoniou, Antreas; Storkey, Amos
    CINIC-10 is an augmented extension of CIFAR-10. It contains the images from CIFAR-10 (60,000 images, 32x32 RGB pixels) and a selection of ImageNet database images (210,000 images downsampled to 32x32). It was compiled as ...
  • Macro-socioeconomic-energy Model for Technology Pathways, 7see-GB, 2017 

    Roberts, Simon; Foran, Barney; Axon, Colin; Warr, Benjamin; Goddard, Nigel
    In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic ...
  • GitHub Java Corpus 

    Allamanis, Miltiadis; Sutton, Charles
    The GitHub Java Corpus is a snapshot of all open-source Java code on GitHub in October 2012 that is contained in open-source projects that at the time had at least one fork. It contains code from 14,785 projects amounting ...
  • Software and data for endoscopic sensing of alveolar pH 

    Choudhury, Debaditya; Tanner, Michael G.; McAughtrie, Sarah; Yu, Fei; Mills, Bethany; Choudhary, Tushar R.; Seth, Sohan; Craven, Thomas H.; Stone, James M.; Mati, Ioulia K.; Campbell, Colin J.; Bradley, Mark; Williams, Christopher K. I.; Dhaliwal, Kevin; Birks, Timothy A.; Thomson, Robert Roderick
    Previously unobtainable measurements of alveolar pH were obtained using an endoscope-deployable optrode. The pH sensing was achieved using functionalized gold nanoshell sensors and surface enhanced Raman spectroscopy (SERS). ...
  • Robust Data-driven Macro-socioeconomic-energy Model, 7see-GB, 2016 

    Roberts, Simon; Axon, Colin; Foran, Barney; Goddard, Nigel; Warr, Benjamin
    In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic ...
  • Software to assess the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans 

    Seth, Sohan; Williams, Christopher K. I.; Dhaliwal, Kevin; Bradley, Mark
    Solitary pulmonary nodules are common, often incidental findings on chest CT scans. The investigation of pulmonary nodules is time-consuming and often leads to protracted follow-up with ongoing radiological surveillance, ...
  • Code for Factorial Switching Linear Dynamical System (FSLDS) Monitoring of Intensive Care Unit Data 

    Williams, Chris; Lal, Partha; Shaw, Martin
    The submission contains: (1) realtime - C++ code for performing Factoral Switching Linear Dynamical System (FSLDS) inference in real time on CSV input files; (2) matlab - Matlab code used for offline parameter estimation ...
  • Piezo is essential for amiloride-sensitive stretch-activated mechanotransduction in larval Drosophila dorsal bipolar dendritic sensory neurons. 

    Suslak, Thomas J; Watson, Sonia; Thompson, Karen J; Shenton, Fiona C; Bewick, Guy S; Armstrong, J Douglas; Jarman, Andrew P
    Stretch-activated afferent neurons, such as those of mammalian muscle spindles, are essential for proprioception and motor co-ordination, but the underlying mechanisms of mechanotransduction are poorly understood. The ...
  • Robust Data-driven Macro-socioeconomic-energy Model, 7see-GB 

    Roberts, Simon; Axon, Colin; Foran, Barney; Goddard, Nigel; Warr, Benjamin
    In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic ...