M.M. (Matthew) Cook, PhD

Hoogleraar

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m.cook rug.nl

Unsupervised learning of digit recognition using spike-timing-dependent plasticity PU Diehl, M Cook Frontiers in computational neuroscience 9, 99	1410	2015
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing PU Diehl, D Neil, J Binas, M Cook, SC Liu, M Pfeiffer 2015 International joint conference on neural networks (IJCNN), 1-8	1102	2015
Universality in elementary cellular automata M Cook Complex systems 15 (1), 1-40	982	2004
Computation with finite stochastic chemical reaction networks D Soloveichik, M Cook, E Winfree, J Bruck natural computing 7, 615-633	288	2008
A pencil balancing robot using a pair of AER dynamic vision sensors J Conradt, M Cook, R Berner, P Lichtsteiner, RJ Douglas, T Delbruck International Symposium on Circuits and Systems (ISCAS), Taipei, Taiwan, 781-784	170	2009
A framework for modeling the growth and development of neurons and networks F Zubler, R Douglas Frontiers in computational neuroscience 3, 757	165	2009
Programmability of chemical reaction networks M Cook, D Soloveichik, E Winfree, J Bruck Algorithmic bioprocesses, 543-584	153	2009
2015 International Joint Conference on Neural Networks (IJCNN) PU Diehl, D Neil, J Binas, M Cook, SC Liu, M Pfeiffer IEEE	137	2015
Interacting maps for fast visual interpretation M Cook, L Gugelmann, F Jug, C Krautz, A Steger The 2011 International Joint Conference on Neural Networks, 770-776	131	2011
Self-assembled circuit patterns M Cook, P Rothemund, E Winfree DNA Computers 9, LNCS 2943, 91-107	125	2004
Continuum percolation with unreliable and spread-out connections M Franceschetti, L Booth, M Cook, R Meester, J Bruck Journal of Statistical Physics 118 (3), 721-734	107	2005
Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set J Buhmann, A Sheridan, C Malin-Mayor, P Schlegel, S Gerhard, ... Nature methods 18 (7), 771-774	96	2021
Temperature 1 self-assembly: Deterministic assembly in 3d and probabilistic assembly in 2d M Cook, Y Fu, RT Schweller Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA 2011)	95	2011
An embedded AER dynamic vision sensor for low-latency pole balancing J Conradt, R Berner, M Cook, T Delbruck 5th IEEE Workshop on Embedded Computer Vision (ECV09) at the International …	86	2009
Efficient automatic 3D-reconstruction of branching neurons from EM data J Funke, B Andres, FA Hamprecht, A Cardona, M Cook 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1004-1011	80	2012
Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems F Tschopp, JNP Martel, SC Turaga, M Cook, J Funke 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1225-1228	66	2016
A geometric theorem for approximate disk covering algorithms M Franceschetti, M Cook, J Bruck Preprint, http://www. paradise. caltech. edu/ETR. html	64	2001
A concrete view of rule 110 computation M Cook arXiv preprint arXiv:0906.3248	53	2009
Ad hoc wireless networks with noisy links L Booth, J Bruck, M Cook, M Franceschetti IEEE International Symposium on Information Theory, 386-386	51	2003
Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware PU Diehl, M Cook 2014 International Joint Conference on Neural Networks (IJCNN), 4288-4295	43	2014
Combining self-healing and proofreading in self-assembly D Soloveichik, M Cook, E Winfree Natural Computing 7, 203-218	35	2008
Percolation in multi-hop wireless networks M Franceschetti, L Booth, M Cook, R Meester, J Bruck Caltech Paradise, ETR055	35	2003
Self-assembled circuits and circuit patterns MM Cook, PWK Rothemund, E Winfree US Patent App. 10/848,513	32	2004
Structural plasticity denoises responses and improves learning speed R Spiess, R George, M Cook, PU Diehl Frontiers in computational neuroscience 10, 93	31	2016
A geometric theorem for network design M Franceschetti, M Cook, J Bruck IEEE Transactions on Computers 53 (4), 483-489	28	2004
Learning and inferring relations in cortical networks PU Diehl, M Cook arXiv preprint arXiv:1608.08267	23	2016
Still life theory M Cook New constructions in cellular automata 226, 93-118	22	2003
Anatomical constraints on lateral competition in columnar cortical architectures DR Muir, M Cook Neural Computation 26 (8), 1624-1666	21	2014
Optimal interleaving on tori A Jiang, M Cook, J Bruck SIAM Journal on Discrete Mathematics 20 (4), 841-879	21	2006
State-dependent sensory processing in networks of VLSI spiking neurons E Neftci, E Chicca, M Cook, G Indiveri, R Douglas IEEE International Symposium on Circuits and Systems (ISCAS), 2789-2792	20	2010
Real-time inference in a VLSI spiking neural network D Corneil, D Sonnleithner, E Neftci, E Chicca, M Cook, G Indiveri, ... 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 2425-2428	19	2012
Synaptic partner prediction from point annotations in insect brains J Buhmann, R Krause, RC Lentini, N Eckstein, M Cook, S Turaga, J Funke Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …	17	2018
Candidate sampling for neuron reconstruction from anisotropic electron microscopy volumes J Funke, JNP Martel, S Gerhard, B Andres, DC Cireşan, A Giusti, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …	17	2014
An instruction language for self-construction in the context of neural networks F Zubler, A Hauri, S Pfister, AM Whatley, M Cook, R Douglas Frontiers in Computational Neuroscience 5 (57), 1-15	17	2011
Unsupervised learning of relations M Cook, F Jug, C Krautz, A Steger Artificial Neural Networks–ICANN 2010: 20th International Conference …	17	2010
A wake-sleep algorithm for recurrent, spiking neural networks J Thiele, P Diehl, M Cook arXiv preprint arXiv:1703.06290	15	2017
TED: A tolerant edit distance for segmentation evaluation J Funke, J Klein, F Moreno-Noguer, A Cardona, M Cook Methods 115, 119-127	14	2017
Toward joint approximate inference of visual quantities on cellular processor arrays JNP Martel, M Chau, P Dudek, M Cook 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2061-2064	14	2015
Recurrent Competitive Networks Can Learn Locally Excitatory Topologies F Jug, M Cook, A Steger International Joint Conference on Neural Networks	14	2012
It takes two neurons to ride a bicycle M Cook Demonstration at NIPS	14	2004
Networks of* relations M Cook California Institute of Technology	11	2005
A geometric theorem for wireless network design optimization M Franceschetti, M Cook, J Bruck California Institute of Technology	11	2002
A cellular automaton for blocking queen games M Cook, U Larsson, T Neary Natural Computing 16, 397-410	7	2017
Pixel interlacing to trade off the resolution of a cellular processor array against more registers JNP Martel, M Chau, M Cook, P Dudek 2015 European Conference on Circuit Theory and Design (ECCTD), 1-4	7	2015
Small tile sets that compute while solving mazes M Cook, T Stérin, D Woods arXiv preprint arXiv:2106.12341	6	2021
Implementability among predicates M Cook, J Bruck Preprint, California Institute of Technology, Pasadena, CA	6	2005
Microtubule tracking in electron microscopy volumes N Eckstein, J Buhmann, M Cook, J Funke Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …	5	2020
Modeling the interplay between structural plasticity and spike-timing-dependent plasticity RM George, PU Diehl, M Cook, C Mayr, G Indiveri BMC Neuroscience 16, 1-2	5	2015
Multi-hypothesis crf-segmentation of neural tissue in anisotropic em volumes J Funke, B Andres, F Hamprecht, A Cardona, M Cook arXiv preprint arXiv:1109.2449	5	2011
Neuronal projections can be sharpened by a biologically plausible learning mechanism M Cook, F Jug, C Krautz Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …	5	2011
Optimised information gathering in smartphone users A Ghosh, JP Pfister, M Cook arXiv preprint arXiv:1701.02796	4	2017
Estimation of z-thickness and xy-anisotropy of electron microscopy images using gaussian processes TD Ambegoda, JNP Martel, J Adamcik, M Cook, RHR Hahnloser arXiv preprint arXiv:2002.00228	3	2020
Function approximation with uncertainty propagation in a VLSI spiking neural network D Corneil, D Sonnleithner, E Neftci, E Chicca, M Cook, G Indiveri, ... The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7	3	2012
Tournament sequences and Meeussen sequences M Cook, M Kleber arXiv preprint math/0002220	3	2000
kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration MS Battikh, D Hammill, M Cook, A Lensky arXiv preprint arXiv:2304.00050	2	2023
k-Means Maximum Entropy Exploration A Nedergaard, M Cook arXiv preprint arXiv:2205.15623	2	2022
Factorized computation: What the Neocortex can tell us about the future of computing PU Diehl, J Martel, J Buhmann, M Cook Frontiers in computational neuroscience 12, 54	2	2018
A framework of relational networks to build systems with sensors able to perform the joint approximate inference of quantities J Martel, M Cook IEEE/RSJ International Conference on Intelligent Robots and Systems …	2	2015
Multifactor expectation maximization for factor graphs JT Rolfe, M Cook International Conference on Artificial Neural Networks, 267-276	2	2010
Book Review: Probabilistic reasoning and decision making in sensory-motor systems M Cook The Neuromorphic Engineer	2	2009
Self-stabilizing synchronization in 3 dimensions M Cook, P Gacs, E Winfree Preprint	2	2008
Networks of relations for representation, learning, and generalization M Cook, J Bruck Proceedings of the Fourth International Conference on Intelligent System …	2	2004
Operative dimensions in unconstrained connectivity of recurrent neural networks R Krause, M Cook, S Kollmorgen, V Mante, G Indiveri Advances in Neural Information Processing Systems 35, 17073-17085	1	2022
Average-Case Completeness in Tag Systems M Cook, T Neary DROPS	1	2019
Generalized Tag Systems T Neary, M Cook Reachability Problems: 12th International Conference, RP 2018, Marseille …	1	2018
Tracking of microtubules in anisotropic volumes of neural tissue JM Buhmann, S Gerhard, M Cook, J Funke 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 326-329	1	2016
Structured learning of assignment models for neuron reconstruction to minimize topological errors J Funke, J Klein, F Moreno-Noguer, A Cardona, M Cook 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 607-611	1	2016
Cellular Automata and Discrete Complex Systems M Cook, T Neary	1	2016
A Tolerant Edit Distance for Evaluation and Training of Electron Microscopy Reconstruction Algorithms J Funke, J Klein, A Cardona, M Cook, VA Ashburn arXiv, arXiv: 1503.02291	1	2015
Sharpening projections: Inter-area projections can be effectively sharpened by biologically plausible learning mechanisms M Cook, F Jug, C Krautz BMC Neuroscience 10 (Suppl 1), P214	1	2009
Self-stabilizing synchronization in 3 dimensions (draft) M Cook, P Gács, E Winfree Tech. report, Boston University, Department of Computer Science, Boston, MA …	1	2008
High speed pole balancing with only spike-based visual input J Conradt, P Lichtsteiner, R Berner, T Delbruck, RJ Douglas, M Cook Neural Information Processing Systems Conference (NIPS)	1	2008
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention EN Evans, M Cook, ZP Bradshaw, ML LaBorde arXiv preprint arXiv:2403.14753		2024
Quantum fourier vision transformer circuits for variational self-attention-based learning E Evans, M Cook, M LaBorde, Z Bradshaw, D Byrne Bulletin of the American Physical Society		2024
Distribution Re-weighting and Voting Paradoxes B Mazaheri, S Jain, M Cook, J Bruck arXiv preprint arXiv:2311.06840		2023
Quantum Computing for Machine Learning: An Introduction M COOK, D BYRNE, E EVANS		2023
Efficient 2D neuron boundary segmentation with local topological constraints TD Ambegoda, M Cook arXiv preprint arXiv:2002.01036		2020
Part 1: Special Issue: Automata 2016-Selected papers from the International Workshop on Cellular Automata and Discrete Complex Systems Automata 2016/Special Issue … M Cook, T Neary NATURAL COMPUTING 18 (3), 411-412		2019
Proceedings Machines, Computations and Universality 2013 T Neary, M Cook arXiv preprint arXiv:1309.1043		2013
Intrinsic Gradient Networks: Highly recurrent neural networks with biologically plausible training JT Rolfe, M Cook, Y LeCun COSYNE, Poster III-17		2012
Event-Based Vision with Dynamic Vision Sensors R Berner, C Brändli, M Yang, SC Liu, J Conradt, M Cook, M Pfeiffer, ... IEEE Swiss Image and Vision Sensors Workshop 2011 (SIVS 2011)		2011
Holistically convergent modular networks: a biological principle for recurrent network architecture M Cook, L Gugelmann, F Jug, C Krautz BMC Neuroscience 11, 1-2		2010
Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons E Neftci, E Chicca, M Cook, G Indiveri, R Douglas Proceedings of 2010 IEEE International Symposium on Circuits and Systems …		2010
Maze navigation using factor graphs D Goehlsdorf, M Cook ZNZ SYMPOSIUM 2010		2010
Balancing pencils using spike-based vision sensors J Conradt, R Berner, P Lichtsteiner, RJ Douglas, T Delbruck, M Cook The Institute of Neuroinformatics		2009
A Pencil Balancing Robot Using Only Spike-based Visual Input J Conradt, P Lichtsteiner, R Berner, T Delbrück, RJ Douglas, M Cook 22nd Annual Conference on Neural Information Processing Systems (NIPS 2008)		2008
Robust simulation of cell-interactions using three-dimensional Delaunay triangulations D Goehlsdorf, F Zubler, M Cook Federation of European Neurosciences, Poster III-17		2008
The Reusable Symbol Problem M Cook Fourth International Workshop on Neural-Symbolic Learning and Reasoning …		2008
Combining Binary Classifiers Leads to Nontransitive Paradoxes B Mazaheri, S Jain, M Cook, J Bruck
Live demonstration: A pencil balancing robot using a pair of AER dynamic vision sensors J Conradt, M Cook, R Berner, P Lichtsteiner, RJ Douglas, T Delbruck 2009 IEEE International Symposium on Circuits and Systems
A Geometric Theorem for Wireless Network Design Optimization MFM Cook, J Brück

Laatst gewijzigd:

17 april 2024 15:37