Matthew Cook

Affiliations:
  • ETH Zurich, Institute of Neuroinformatics
  • University of Zurich, Institute of Neuroinformatics
  • California Institute of Technology, Pasadena, Computation and Neural Systems Department


According to our database1, Matthew Cook authored at least 52 papers between 2000 and 2023.

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Bibliography

2023
Distribution Re-weighting and Voting Paradoxes.
CoRR, 2023

2022
Operative dimensions in unconstrained connectivity of recurrent neural networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020
Efficient 2D neuron boundary segmentation with local topological constraints.
CoRR, 2020

Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes.
CoRR, 2020

Microtubule Tracking in Electron Microscopy Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Preface.
Nat. Comput., 2019

Average-Case Completeness in Tag Systems.
Proceedings of the 36th International Symposium on Theoretical Aspects of Computer Science, 2019

2018
Factorized Computation: What the Neocortex Can Tell Us About the Future of Computing.
Frontiers Comput. Neurosci., 2018

Generalized Tag Systems.
Proceedings of the Reachability Problems - 12th International Conference, 2018

Synaptic Partner Prediction from Point Annotations in Insect Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A cellular automaton for blocking queen games.
Nat. Comput., 2017

A wake-sleep algorithm for recurrent, spiking neural networks.
CoRR, 2017

Optimised information gathering in smartphone users.
CoRR, 2017

2016
Structural Plasticity Denoises Responses and Improves Learning Speed.
Frontiers Comput. Neurosci., 2016

Learning and Inferring Relations in Cortical Networks.
CoRR, 2016

Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Structured learning of assignment models for neuron reconstruction to minimize topological errors.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Tracking of microtubules in anisotropic volumes of neural tissue.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Unsupervised learning of digit recognition using spike-timing-dependent plasticity.
Frontiers Comput. Neurosci., 2015

A Tolerant Edit Distance for Evaluation and Training of Electron Microscopy Reconstruction Algorithms.
CoRR, 2015

Toward joint approximate inference of visual quantities on cellular processor arrays.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Pixel interlacing to trade off the resolution of a cellular processor array against more registers.
Proceedings of the European Conference on Circuit Theory and Design, 2015

2014
Anatomical Constraints on Lateral Competition in Columnar Cortical Architectures.
Neural Comput., 2014

Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
Real-time inference in a VLSI spiking neural network.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Recurrent competitive networks can learn locally excitatory topologies.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Function approximation with uncertainty propagation in a VLSI spiking neural network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Efficient automatic 3D-reconstruction of branching neurons from EM data.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
An Instruction Language for Self-Construction in the Context of Neural Networks.
Frontiers Comput. Neurosci., 2011

Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes
CoRR, 2011

Temperature 1 Self-Assembly: Deterministic Assembly in 3D and Probabilistic Assembly in 2D.
Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

Interacting maps for fast visual interpretation.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
State-dependent sensory processing in networks of VLSI spiking neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Multifactor Expectation Maximization for Factor Graphs.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Unsupervised Learning of Relations.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Live Demonstration: A Pencil Balancing Robot using a Pair of AER Dynamic Vision Sensors.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

A Pencil Balancing Robot using a Pair of AER Dynamic Vision Sensors.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

An embedded AER dynamic vision sensor for low-latency pole balancing.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Programmability of Chemical Reaction Networks.
Proceedings of the Algorithmic Bioprocesses, 2009

2008
Computation with finite stochastic chemical reaction networks.
Nat. Comput., 2008

Combining self-healing and proofreading in self-assembly.
Nat. Comput., 2008

A Concrete View of Rule 110 Computation
Proceedings of the Proceedings International Workshop on The Complexity of Simple Programs, 2008

2006
Optimal Interleaving on Tori.
SIAM J. Discret. Math., 2006

2004
A Geometric Theorem for Network Design.
IEEE Trans. Computers, 2004

Universality in Elementary Cellular Automata.
Complex Syst., 2004

Optimal t-interleaving on tori.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

2003
Self-Assembled Circuit Patterns.
Proceedings of the DNA Computing, 9th International Workshop on DNA Based Computers, 2003

2000
Tournament Sequences and Meeussen Sequences.
Electron. J. Comb., 2000


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