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Number of items: 14.

Buhmann, Julia; Krause, Renate; Lentini, Rodrigo Ceballos; Eckstein, Nils; Cook, Matthew; Turaga, Srinivas; Funke, Jan (2018). Synaptic Partner Prediction from Point Annotations in Insect Brains. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Granada, 16 September 2018 - 20 September 2018, 309-316.

Cook, Matthew; Larsson, Urban; Neary, Turlough (2017). A cellular automaton for blocking queen games. Natural Computing, 16(3):397-410.

Ghosh, Arko; Pfister, Jean-Pascal; Cook, Matthew (2017). Optimised information gathering in smartphone users. arXiv.org 1701.02796, Institute of Neuroinformatics.

Tschopp, Fabian; Martel, Julien N P; Turaga, Srinivas C; Cook, Matthew; Funke, Jan (2016). Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems. In: The International Symposium on Biomedical Imaging (ISBI) 2016, Melbourne, Australia, 13 April 2016 - 16 April 2016.

Spiess, Robin; George, Richard; Cook, Matthew; Diehl, Peter U (2016). Structural plasticity denoises responses and improves learning speed. Frontiers in Computational Neuroscience:10:98.

Martel, Julien; Cook, Matthew (2015). A framework of relational networks to build systems with sensors able to perform the joint approximate inference of quantities. In: IROS 2015, Workshop on Advances in Biologically Inspired Brain-Like Cognition and Control for Learning Robots, Hamburg, 1 October 2015 - 2 October 2015.

Martel, Julien; Chau, Miguel; Cook, Matthew; Dudek, Piotr (2015). Pixel interlacing to trade off the resolution of a cellular processor array against more registers. In: European Conference on Circuit Theory and Design (ECCTD) 2015, Trondheim, Norway, 24 August 2015 - 26 August 2015.

Martel, Julien; Chau, Miguel; Dudek, Piotr; Cook, Matthew (2015). Toward joint approximate inference of visual quantities on cellular processor arrays. In: IEEE International Symposium on Circuits and Systems (ISCAS) 2015, Lisbon, Portugal, 24 May 2015 - 27 May 2015.

Diehl, Peter U; Cook, Matthew (2015). Unsupervised learning of digit recognition using spike-timing-dependent plasticity. Frontiers in Computational Neuroscience:9:99.

Funke, Jan; Martel, Julien N P; Gerhard, Stephan; Ciresan, Dan C; Giusti, Alessandro; Gambardella, Luca M; Schmidhuber, Jürgen; Pfister, Hanspeter; Cardona, Albert; Cook, Matthew (2014). Candidate sampling for neuron reconstruction from anisotropic electron microscopy volumes. In: Medical Image Computing and Computer Assisted Intervention (MICCAI) 2014, Boston, MA, United States of America, 14 September 2014 - 18 September 2014, 17-24.

Muir, Dylan R; Cook, Matthew (2014). Anatomical constraints on lateral competition in columnar cortical architectures. Neural Computation, 26(8):1624-1666.

Funke, Jan; Andres, Bjoern; Hamprecht, Fred A; Cardona, Albert; Cook, Matthew (2012). Efficient automatic 3D-reconstruction of branching neurons from EM data. In: Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, USA, 16 June 2012 - 21 June 2012, 1004 - 1011.

Jug, Florian; Cook, Matthew; Steger, Angelika (2012). Recurrent competitive networks can learn locally excitatory topologies. In: IEEE International Joint Conference on Neural Networks (IJCNN) 2012, Brisbane, Australia, 10 June 2012 - 15 June 2012, 1-8.

Neftci, Emre; Chicca, Elisabetta; Cook, Matthew; Douglas, Rodney (2010). State-dependent sensory processing in networks of VLSI spiking neurons. In: 2010 IEEE International Symposium on Circuits and Systems (ISCAS), Paris, France, 30 May 2010 - 2 June 2010, 2789-2792.

This list was generated on Tue Apr 23 16:03:39 2019 CEST.