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Dan F. M. Goodman
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2020 – today
- 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
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
Graph Drawing by Stochastic Gradient Descent. IEEE Trans. Vis. Comput. Graph. 25(9): 2738-2748 (2019) - 2018
- [j11]Inga Blundell, Romain Brette
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
Equation-oriented specification of neural models for simulations. Frontiers Neuroinformatics 8: 6 (2014) - [j9]Shabnam N. Kadir
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
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
Vectorized Algorithms for Spiking Neural Network Simulation. Neural Comput. 23(6): 1503-1535 (2011) - 2010
- [j4]Cyrille Rossant
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)
Coauthor Index
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