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Dan F. M. Goodman
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2020 – today
- 2024
- [j14]Marcus Ghosh, Gabriel Béna, Volker Bormuth, Dan F. M. Goodman:
Nonlinear fusion is optimal for a wide class of multisensory tasks. PLoS Comput. Biol. 20(7): 1012246 (2024) - [i7]Karim Habashy, Benjamin D. Evans, Dan F. M. Goodman, Jeffrey S. Bowers:
Adapting to time: why nature evolved a diverse set of neurons. CoRR abs/2404.14325 (2024) - 2023
- [i6]Nicolas Perez Nieves, Dan F. M. Goodman:
Spiking Network Initialisation and Firing Rate Collapse. CoRR abs/2305.08879 (2023) - 2021
- [j13]Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman:
Further Towards Unambiguous Edge Bundling: Investigating Power-Confluent Drawings for Network Visualization. IEEE Trans. Vis. Comput. Graph. 27(3): 2244-2249 (2021) - [c2]Nicolas Perez Nieves, Dan F. M. Goodman:
Sparse Spiking Gradient Descent. NeurIPS 2021: 11795-11808 - [i5]Nicolas Perez Nieves, Dan F. M. Goodman:
Sparse Spiking Gradient Descent. CoRR abs/2105.08810 (2021) - [i4]Gabriel Béna, Dan F. M. Goodman:
Extreme sparsity gives rise to functional specialization. CoRR abs/2106.02626 (2021)
2010 – 2019
- 2019
- [j12]Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman:
Graph Drawing by Stochastic Gradient Descent. IEEE Trans. Vis. Comput. Graph. 25(9): 2738-2748 (2019) - 2018
- [j11]Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz-Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. M. Goodman, Michael L. Hines, Michael W. Hopkins, Pramod S. Kumbhar, David R. Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Richmond, Andrew Rowley, Bernhard Rumpe, Marcel Stimberg, Alan B. Stokes, Adam R. Tomkins, Guido Trensch, Michael Marmaduke Woodman, Jochen Martin Eppler:
Code Generation in Computational Neuroscience: A Review of Tools and Techniques. Frontiers Neuroinformatics 12: 68 (2018) - [i3]Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman:
Comments on "Towards Unambiguous Edge Bundling: Investigating Confluent Drawings for Network Visualization". CoRR abs/1810.09948 (2018) - 2017
- [i2]Jonathan X. Zheng, Dan F. M. Goodman, Samraat Pawar:
Graph Drawing by Weighted Constraint Relaxation. CoRR abs/1710.04626 (2017) - 2014
- [j10]Marcel Stimberg, Dan F. M. Goodman, Victor Benichoux, Romain Brette:
Equation-oriented specification of neural models for simulations. Frontiers Neuroinformatics 8: 6 (2014) - [j9]Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris:
High-Dimensional Cluster Analysis with the Masked EM Algorithm. Neural Comput. 26(11): 2379-2394 (2014) - [r1]Dan F. M. Goodman, Romain Brette:
Brian Spiking Neural Network Simulator. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j8]Cyrille Rossant, Bertrand Fontaine, Dan F. M. Goodman:
Playdoh: A lightweight Python library for distributed computing and optimisation. J. Comput. Sci. 4(5): 352-359 (2013) - [j7]Dan F. M. Goodman, Romain Brette:
Brian simulator. Scholarpedia 8(1): 10883 (2013) - [i1]Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris:
High-dimensional cluster analysis with the Masked EM Algorithm. CoRR abs/1309.2848 (2013) - 2011
- [j6]Bertrand Fontaine, Dan F. M. Goodman, Victor Benichoux, Romain Brette:
Brian Hears: Online Auditory Processing Using Vectorization Over Channels. Frontiers Neuroinformatics 5: 9 (2011) - [j5]Romain Brette, Dan F. M. Goodman:
Vectorized Algorithms for Spiking Neural Network Simulation. Neural Comput. 23(6): 1503-1535 (2011) - 2010
- [j4]Cyrille Rossant, Dan F. M. Goodman, Jonathan Platkiewicz, Romain Brette:
Automatic fitting of spiking neuron models to electrophysiological recordings. Frontiers Neuroinformatics 4: 2 (2010) - [j3]Dan F. M. Goodman:
Code Generation: A Strategy for Neural Network Simulators. Neuroinformatics 8(3): 183-196 (2010) - [j2]Dan F. M. Goodman, Romain Brette:
Spike-Timing-Based Computation in Sound Localization. PLoS Comput. Biol. 6(11) (2010) - [c1]Dan F. M. Goodman, Romain Brette:
Learning to localise sounds with spiking neural networks. NIPS 2010: 784-792
2000 – 2009
- 2008
- [j1]Dan F. M. Goodman, Romain Brette:
Brian: a simulator for spiking neural networks in Python. Frontiers Neuroinformatics 2: 5 (2008)
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