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procedural.bib
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@article{Bakker2012,
author = {Bakker, Rembrandt and Wachtler, Thomas and Diesmann, Markus},
doi = {10.3389/fninf.2012.00030},
issn = {16625196},
journal = {Frontiers in Neuroinformatics},
keywords = {CoCoMac, macaque, connectivity, database, axonal tracing,axonal tracing,cocomac,connectivity,database,macaque},
number = {},
pages = {1--6},
title = {{CoCoMac 2.0 and the future of tract-tracing databases}},
volume = {6},
year = {2012}
}
@article{beaulieu1989number,
title={Number and size of neurons and synapses in the motor cortex of cats raised in different environmental complexities},
author={Beaulieu, Clermont and Colonnier, Marc},
journal={Journal of Comparative Neurology},
volume={289},
number={1},
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@article{Belitski2008,
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doi = {10.1523/JNEUROSCI.0009-08.2008},
issn = {02706474},
journal = {Journal of Neuroscience},
keywords = {Local field potential,Macaque,Movie,Multiunit activity,Neural coding,V1},
number = {22},
pages = {5696--5709},
title = {{Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information}},
volume = {28},
year = {2008}
}
@article{Binzegger2004,
author = {Binzegger, Tom and Douglas, Rodney J. and Martin, Kevan A.C.},
doi = {10.1523/JNEUROSCI.1400-04.2004},
issn = {02706474},
journal = {Journal of Neuroscience},
keywords = {Cell reconstruction,Cell types,Connectivity rule,Interlaminar connectivity,Laminar distribution,Synaptic weights},
number = {39},
pages = {8441--8453},
title = {{A quantitative map of the circuit of cat primary visual cortex}},
volume = {24},
year = {2004}
}
@article{Blundell2018,
author = {Blundell, Inga and Brette, Romain and Cleland, Thomas A. and Close, Thomas G. and Coca, Daniel and Davison, Andrew P. and Diaz-Pier, Sandra and {Fernandez Musoles}, Carlos and Gleeson, Padraig and Goodman, Dan F. M. and Hines, Michael and Hopkins, Michael W. and Kumbhar, Pramod and Lester, David R. and Marin, B{\'{o}}ris and Morrison, Abigail and M{\"{u}}ller, Eric and Nowotny, Thomas and Peyser, Alexander and Plotnikov, Dimitri and Richmond, Paul and Rowley, Andrew and Rumpe, Bernhard and Stimberg, Marcel and Stokes, Alan B. and Tomkins, Adam and Trensch, Guido and Woodman, Marmaduke and Eppler, Jochen Martin},
doi = {10.3389/fninf.2018.00068},
issn = {1662-5196},
journal = {Frontiers in Neuroinformatics},
keywords = {code generation, simulation, neuronal networks, domain specific language, modeling language},
number = {},
title = {{Code Generation in Computational Neuroscience: A Review of Tools and Techniques}},
volume = {12},
year = {2018}
}
@article{Brader2007,
author = {Brader, Joseph M and Senn, Walter and Fusi, Stefano},
doi = {10.1162/neco.2007.19.11.2881},
issn = {0899-7667},
journal = {Neural computation},
month = {nov},
number = {11},
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pmid = {17883345},
title = {{Learning real-world stimuli in a neural network with spike-driven synaptic dynamics.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17883345},
volume = {19},
year = {2007}
}
@book{braitenberg2013cortex,
title={Cortex: statistics and geometry of neuronal connectivity},
author={Braitenberg, Valentino and Sch{\"u}z, Almut},
year={2013},
publisher={Springer Science \& Business Media}
}
@article{Brette2007,
author = {Brette, Romain and Rudolph, Michelle and Carnevale, Ted and Hines, Michael and Beeman, David and Bower, James M and Diesmann, Markus and Morrison, Abigail and Goodman, Philip H and Harris, Frederick C and Zirpe, Milind and Natschl{\"{a}}ger, Thomas and Pecevski, Dejan and Ermentrout, Bard and Djurfeldt, Mikael and Lansner, Anders and Rochel, Olivier and Vieville, Thierry and Muller, Eilif and Davison, Andrew P and {El Boustani}, Sami and Destexhe, Alain},
doi = {10.1007/s10827-007-0038-6},
issn = {0929-5313},
journal = {Journal of computational neuroscience},
keywords = {Algorithms,Animals,Computer Simulation,Electrophysiology,Humans,Models, Neurological,Nerve Net,Nerve Net: cytology,Nerve Net: physiology,Neurons,Neurons: physiology,Software,Synapses,Synapses: physiology},
month = {dec},
number = {3},
pages = {349--98},
pmid = {17629781},
title = {{Simulation of networks of spiking neurons: a review of tools and strategies.}},
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638500/},
volume = {23},
year = {2007}
}
@article{Cabral2014,
author = {Cabral, Joana and Kringelbach, Morten L. and Deco, Gustavo},
doi = {10.1016/j.pneurobio.2013.12.005},
issn = {18735118},
journal = {Progress in Neurobiology},
keywords = {Anatomical networks,Computational modelling,Functional networks,Resting-state},
pages = {102--131},
publisher = {Elsevier Ltd},
title = {{Exploring the network dynamics underlying brain activity during rest}},
url = {http://dx.doi.org/10.1016/j.pneurobio.2013.12.005},
volume = {114},
year = {2014}
}
@book{carnevale2006neuron,
author = {Carnevale, Nicholas T and Hines, Michael L},
publisher = {Cambridge University Press},
title = {{The NEURON book}},
year = {2006}
}
@article{Clopath2010c,
author = {Clopath, Claudia and B{\"{u}}sing, Lars and Vasilaki, Eleni and Gerstner, Wulfram},
doi = {10.1038/nn.2479},
isbn = {1546-1726 (Electronic)$\backslash$n1097-6256 (Linking)},
issn = {1097-6256},
journal = {Nature neuroscience},
number = {},
pages = {344--352},
pmid = {20098420},
publisher = {Nature Publishing Group},
title = {{Connectivity reflects coding: a model of voltage-based STDP with homeostasis.}},
url = {http://dx.doi.org/10.1038/nn.2479},
volume = {13},
year = {2010}
}
@incollection{Devroye2013,
address = {New York},
author = {Devroye, Luc},
booktitle = {Non-uniform Random Variate Generation},
chapter = {X.2},
doi = {10.1007/978-1-4613-8643-8},
edition = {2},
isbn = {978-1-4613-8645-2},
pages = {498--500},
publisher = {Springer},
title = {{The geometric distribution}},
year = {2013}
}
@article{Ercsey-Ravasz2013,
author = {Ercsey-Ravasz, M{\'{a}}ria and Markov, Nikola T. and Lamy, Camille and Van Essen, David C. and Knoblauch, Kenneth and Toroczkai, Zolt{\'{a}}n and Kennedy, Henry},
doi = {10.1016/j.neuron.2013.07.036},
issn = {08966273},
journal = {Neuron},
number = {1},
pages = {184--197},
title = {{A Predictive Network Model of Cerebral Cortical Connectivity Based on a Distance Rule}},
volume = {80},
year = {2013}
}
@article{Freedman1981,
title={On the histogram as a density estimator: {L$_2$} theory},
author={Freedman, David and Diaconis, Persi},
journal={Zeitschrift f{\"u}r Wahrscheinlichkeitstheorie und verwandte Gebiete},
volume={57},
number={4},
pages={453--476},
year={1981},
publisher={Springer}
}
@article{Frenkel2018,
archivePrefix = {arXiv},
arxivId = {1804.07858},
author = {Frenkel, Charlotte and Lefebvre, Martin and Legat, Jean-Didier and Bol, David},
doi = {10.1109/TBCAS.2018.2880425},
eprint = {1804.07858},
issn = {1932-4545},
journal = {IEEE Transactions on Biomedical Circuits and Systems},
number = {1},
pages = {145--158},
publisher = {IEEE},
title = {{A 0.086-mm{$^2$} 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS}},
url = {http://arxiv.org/abs/1804.07858 https://ieeexplore.ieee.org/document/8528875/},
volume = {13},
year = {2019}
}
@inproceedings{Frenkel2019,
author = {Frenkel, Charlotte and Legat, Jean-didier and Bol, David},
booktitle = {2019 IEEE International Symposium on Circuits and Systems (ISCAS)},
doi = {10.1109/ISCAS.2019.8702793},
isbn = {978-1-7281-0397-6},
pages = {1--5},
publisher = {IEEE},
title = {{A 65-nm 738k-Synapse/mm 2 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning}},
url = {https://ieeexplore.ieee.org/document/8702793/},
year = {2019}
}
@article{Furber2014,
author = {Furber, Stephen B and Galluppi, Francesco and Temple, S and Plana, Luis A},
doi = {10.1109/JPROC.2014.2304638},
issn = {0018-9219},
journal = {Proceedings of the IEEE},
mendeley-groups = {Manchester PhD},
month = {may},
number = {5},
pages = {652--665},
title = {{The SpiNNaker Project}},
volume = {102},
year = {2014}
}
@article{Gewaltig2007,
author = {Gewaltig, Marc-Oliver and Diesmann, Markus},
doi = {10.4249/scholarpedia.1430},
journal = {Scholarpedia},
mendeley-groups = {Manchester PhD/Thesis/LTP/Related work,Manchester PhD/Thesis/Background (1)},
number = {4},
pages = {1430},
title = {{NEST (NEural Simulation Tool)}},
volume = {2},
year = {2007}
}
@article{Herculano-Houzel2010,
author = {Herculano-Houzel, S. and Mota, B. and Lent, R.},
doi = {10.1073/pnas.0604911103},
isbn = {9780123708786},
issn = {0027-8424},
journal = {Proceedings of the National Academy of Sciences},
month = {aug},
number = {32},
pages = {12138--12143},
pmid = {16880386},
title = {{Cellular scaling rules for rodent brains}},
url = {http://www.pnas.org/cgi/doi/10.1073/pnas.0604911103},
volume = {103},
year = {2006}
}
@article{Hopkins2020,
author = {Hopkins, Michael and Mikaitis, Mantas and Lester, Dave R and Furber, Steve},
doi = {10.1098/rsta.2019.0052},
issn = {1364-503X},
journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
month = {mar},
number = {2166},
pages = {20190052},
title = {{Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ordinary differential equations}},
url = {https://royalsocietypublishing.org/doi/10.1098/rsta.2019.0052},
volume = {378},
year = {2020}
}
@online{Izhikevich2005,
author = {Izhikevich, Eugene M},
title = {{Large-Scale Simulation of the Human Brain}},
url = {http://www.izhikevich.org/human_brain_simulation/Blue_Brain.htm},
urldate = {08/04/2020},
year = {2005}
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@article{Izhikevich2008,
author = {Izhikevich, Eugene M and Edelman, Gerald M},
doi = {10.1073/pnas.0712231105},
eprint = {9906002},
issn = {1091-6490},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
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pages = {3593--8},
pmid = {18292226},
primaryClass = {cs},
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@article{Jordan2018,
author = {Jordan, Jakob and Ippen, Tammo and Helias, Moritz and Kitayama, Itaru and Sato, Mitsuhisa and Igarashi, Jun and Diesmann, Markus and Kunkel, Susanne},
doi = {10.3389/fninf.2018.00002},
issn = {1662-5196},
journal = {Frontiers in Neuroinformatics},
keywords = {Parallel Computing,Spiking Neuronal Network,computational neuroscience,exascale computing,large-scale simulation,supercomputer},
number = {},
pages = {2},
title = {{Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers}},
url = {http://journal.frontiersin.org/article/10.3389/fninf.2018.00002/full},
volume = {12},
year = {2018}
}
@article{Knight2018,
author = {Knight, James C. and Nowotny, Thomas},
doi = {10.3389/fnins.2018.00941},
issn = {1662-453X},
journal = {Frontiers in Neuroscience},
number = {},
pages = {1--19},
title = {{GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model}},
url = {https://www.frontiersin.org/article/10.3389/fnins.2018.00941/full},
volume = {12},
year = {2018}
}
@software{Knight2020,
author = {Knight, James C. and
Nowotny, Thomas and
James Paul Turner and
Esin Yavuz and
Mengchi Zhang and
Komissarov, Anton and
Garibaldi Pineda-Garcia and
Kanishk Kalra and
Fawad Ali and
Alan Diamond and
Alex Cope and
Ajay Subramanian and
Marcel Stimberg and
Alex Dewar and
Felix Benjamin Kern and
Lev E. Givon and
Xilin Huang},
title = {{genn-team/genn: GeNN 4.3.3}},
month = sep,
year = 2020,
publisher = {Zenodo},
version = {4.3.3},
doi = {10.5281/zenodo.4022384},
url = {https://doi.org/10.5281/zenodo.4022384}
}
@misc{Knight2020b,
title={{Dataset for paper ``Larger GPU-accelerated brain simulations with procedural connectivity''}},
url={https://doi.org/10.25377/sussex.12912699.v1}, DOI={10.25377/sussex.12912699.v1},
publisher={University of Sussex},
author={Knight, James C. and Nowotny, Thomas},
year={2020},
month={Nov}
}
@software{Knight2020c,
author = {Knight, James C. and
Nowotny, Thomas},
title = {{BrainsOnBoard/procedural\_paper: Procedural Paper}},
month = nov,
year = 2020,
publisher = {Zenodo},
version = {aam},
doi = {10.5281/zenodo.4277749},
url = {https://doi.org/10.5281/zenodo.4277749}
}
@article{Li2020,
archivePrefix = {arXiv},
arxivId = {1903.04611},
author = {Li, Ang and Song, Shuaiwen Leon and Chen, Jieyang and Li, Jiajia and Liu, Xu and Tallent, Nathan R. and Barker, Kevin J.},
doi = {10.1109/TPDS.2019.2928289},
eprint = {1903.04611},
issn = {15582183},
journal = {IEEE Transactions on Parallel and Distributed Systems},
number = {1},
pages = {94--110},
publisher = {IEEE},
title = {{Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect}},
volume = {31},
year = {2020}
}
@article{Markov2014,
author = {Markov, N. T. and Ercsey-Ravasz, M. M. and {Ribeiro Gomes}, A. R. and Lamy, C. and Magrou, L. and Vezoli, J. and Misery, P. and Falchier, A. and Quilodran, R. and Gariel, M. A. and Sallet, J. and Gamanut, R. and Huissoud, C. and Clavagnier, S. and Giroud, P. and Sappey-Marinier, D. and Barone, P. and Dehay, C. and Toroczkai, Z. and Knoblauch, K. and {Van Essen}, D. C. and Kennedy, H.},
doi = {10.1093/cercor/bhs270},
issn = {10473211},
journal = {Cerebral Cortex},
keywords = {Connection,Cortex,Graph,Monkey,Network},
number = {1},
pages = {17--36},
title = {{A weighted and directed interareal connectivity matrix for macaque cerebral cortex}},
volume = {24},
year = {2014}
}
@article{Markov2014b,
author = {Markov, Nikola T. and Vezoli, Julien and Chameau, Pascal and Falchier, Arnaud and Quilodran, Ren{\'{e}} and Huissoud, Cyril and Lamy, Camille and Misery, Pierre and Giroud, Pascale and Ullman, Shimon and Barone, Pascal and Dehay, Colette and Knoblauch, Kenneth and Kennedy, Henry},
doi = {10.1002/cne.23458},
issn = {00219967},
journal = {Journal of Comparative Neurology},
keywords = {Cell morphology,Monkey,Neocortex,Retrograde tracing},
number = {1},
pages = {225--259},
title = {{Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex}},
volume = {522},
year = {2014}
}
@article{Marsaglia2003,
author = {Marsaglia, George},
doi = {10.18637/jss.v008.i14},
issn = {15487660},
journal = {Journal of Statistical Software},
pages = {1--6},
title = {{Xorshift RNGs}},
volume = {8},
year = {2003}
}
@article{Mayr2019,
archivePrefix = {arXiv},
arxivId = {1911.02385},
author = {Mayr, Christian and Hoeppner, Sebastian and Furber, Steve},
eprint = {1911.02385},
keywords = {22nm fdsoi,mpsoc,neuromorphic computing,numerical accelerators,power management,spinnaker2},
pages = {10--13},
title = {{SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning}},
url = {http://arxiv.org/abs/1911.02385},
year = {2019}
}
@article{Merolla2014,
author = {Merolla, Paul A and Arthur, John V and Alvarez-Icaza, Rodrigo and Cassidy, Andrew S and Sawada, Jun and Akopyan, Filipp and Jackson, Bryan L and Imam, Nabil and Guo, Chen and Nakamura, Yutaka and Brezzo, Bernard and Vo, Ivan and Esser, Steven K and Appuswamy, Rathinakumar and Taba, Brian and Amir, Arnon and Flickner, Myron D and Risk, William P and Manohar, Rajit and Modha, Dharmendra S},
doi = {10.1126/science.1254642},
journal = {{Science}},
number = {6197},
pages = {668--673},
title = {{A million spiking-neuron integrated circuit with a scalable communication network and interface}},
url = {http://www.sciencemag.org/content/345/6197/668.abstract},
volume = {345},
year = {2014}
}
@article{pakkenberg2003aging,
title={Aging and the human neocortex},
author={Pakkenberg, Bente and Pelvig, Dorte and Marner, Lisbeth and Bundgaard, Mads J and Gundersen, Hans J{\o}rgen G and Nyengaard, Jens R and Regeur, Lisbeth},
journal={Experimental gerontology},
volume={38},
number={1},
pages={95--99},
year={2003},
publisher={Elsevier}
}
@inproceedings{Plotnikov2016,
author = {Plotnikov, Dimitri and Blundell, Inga and Ippen, Tammo and
Eppler, Jochen Martin and Rumpe, Bernhard and Morrison,
Abigail},
title = {{NESTML}: a modeling language for spiking neurons},
volume = {P-254},
publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
reportid = {FZJ-2017-00733},
booktitle = {Lecture Notes in Informatics (LNI)},
pages = {93-108},
year = {2016},
month = {Mar},
date = {2016-03-17},
organization = {Modellierung 2016, Karlsruhe
(Germany), 17 Mar 2016 - 19 Mar 2016},
cin = {JSC / IAS-6 / INM-6 / JARA-HPC},
cid = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IAS-6-20130828 /
I:(DE-Juel1)INM-6-20090406 / $I:(DE-82)080012_20140620$},
pnm = {574 - Theory, modelling and simulation (POF3-574) / 511 -
Computational Science and Mathematical Methods (POF3-511) /
HBP SGA1 - Human Brain Project Specific Grant Agreement 1
(720270) / SLNS - SimLab Neuroscience (Helmholtz-SLNS)},
pid = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-511 /
G:(EU-Grant)720270 / G:(DE-Juel1)Helmholtz-SLNS},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
url = {https://juser.fz-juelich.de/record/826510},
}
@article{Potjans2012,
author = {Potjans, Tobias C. and Diesmann, Markus},
doi = {10.1093/cercor/bhs358},
issn = {1460-2199},
journal = {Cerebral Cortex},
month = {mar},
number = {3},
pages = {785--806},
pmid = {23203991},
title = {{The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/23203991 https://academic.oup.com/cercor/article-lookup/doi/10.1093/cercor/bhs358},
volume = {24},
year = {2014}
}
@article{Qiao2015,
author = {Qiao, Ning and Mostafa, Hesham and Corradi, Federico and Osswald, Marc and Stefanini, Fabio and Sumislawska, Dora and Indiveri, Giacomo},
doi = {10.3389/fnins.2015.00141},
issn = {1662453X},
journal = {Frontiers in Neuroscience},
number = {},
pages = {1--17},
pmid = {25972778},
title = {{A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses}},
volume = {9},
year = {2015}
}
@article{Rhodes2019,
abstract = {Real-time simulation of a large-scale biologically representative spiking neural network is presented, through the use of a heterogeneous parallelization scheme and SpiNNaker neuromorphic hardware. A published cortical microcircuit model is used as a benchmark test case, representing ≈1 mm 2 of early sensory cortex, containing 77 k neurons and 0.3 billion synapses. This is the first hard real-time simulation of this model, with 10 s of biological simulation time executed in 10 s wall-clock time. This surpasses best-published efforts on HPC neural simulators (3 × slowdown) and GPUs running optimized spiking neural network (SNN) libraries (2 × slowdown). Furthermore, the presented approach indicates that real-time processing can be maintained with increasing SNN size, breaking the communication barrier incurred by traditional computing machinery. Model results are compared to an established HPC simulator baseline to verify simulation correctness, comparing well across a range of statistical measures. Energy to solution and energy per synaptic event are also reported, demonstrating that the relatively low-tech SpiNNaker processors achieve a 10 × reduction in energy relative to modern HPC systems, and comparable energy consumption to modern GPUs. Finally, system robustness is demonstrated through multiple 12 h simulations of the cortical microcircuit, each simulating 12 h of biological time, and demonstrating the potential of neuromorphic hardware as a neuroscience research tool for studying complex spiking neural networks over extended time periods.},
archivePrefix = {arXiv},
arxivId = {1909.08665},
author = {Rhodes, Oliver and Peres, Luca and Rowley, Andrew G. D. and Gait, Andrew and Plana, Luis A. and Brenninkmeijer, Christian and Furber, Steve B.},
doi = {10.1098/rsta.2019.0160},
eprint = {1909.08665},
isbn = {0000000197489},
issn = {1364-503X},
journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
month = {feb},
number = {2164},
pages = {20190160},
title = {{Real-time cortical simulation on neuromorphic hardware}},
url = {https://royalsocietypublishing.org/doi/10.1098/rsta.2019.0160},
volume = {378},
year = {2020}
}
@inproceedings{Salmon2011,
address = {New York, New York, USA},
author = {Salmon, John K. and Moraes, Mark A. and Dror, Ron O. and Shaw, David E.},
booktitle = {Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '11},
doi = {10.1145/2063384.2063405},
isbn = {9781450307710},
issn = {10883886},
number = {2},
pages = {1},
publisher = {ACM Press},
title = {{Parallel random numbers: As Easy as 1, 2, 3}},
url = {http://dl.acm.org/citation.cfm?doid=2063384.2063405},
volume = {81},
year = {2011}
}
@article{Schemmel2017,
archivePrefix = {arXiv},
arxivId = {1703.07286},
author = {Schemmel, Johannes and Kriener, Laura and M{\"u}ller, Paul and Meier, Karlheinz},
doi = {10.1109/IJCNN.2017.7966124},
eprint = {1703.07286},
isbn = {9781509061815},
journal = {Proceedings of the International Joint Conference on Neural Networks},
pages = {2217--2226},
title = {{An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites}},
volume = {},
year = {2017}
}
@article{Schmidt2018,
author = {Schmidt, Maximilian and Bakker, Rembrandt and Shen, Kelly and Bezgin, Gleb and Diesmann, Markus and van Albada, Sacha Jennifer},
doi = {10.1371/journal.pcbi.1006359},
isbn = {1111111111},
issn = {15537358},
journal = {PLoS Computational Biology},
number = {10},
pages = {1--38},
title = {{A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas}},
volume = {14},
year = {2018}
}
@article{Schmidt2018a,
author = {Schmidt, Maximilian and Bakker, Rembrandt and Hilgetag, Claus C. and Diesmann, Markus and van Albada, Sacha J.},
doi = {10.1007/s00429-017-1554-4},
isbn = {0042901715},
issn = {18632661},
journal = {Brain Structure and Function},
keywords = {Cellular architecture,Cortical layers,Macaque visual cortex,Multi-scale connectivity,Predictive connectomics},
number = {3},
pages = {1409--1435},
publisher = {Springer Berlin Heidelberg},
title = {{Multi-scale account of the network structure of macaque visual cortex}},
volume = {223},
year = {2018}
}
@inproceedings{Seo2011,
address = {San Jose, CA},
author = {Seo, Jae-Sunsfdsdadsd and Brezzo, Bernard and Liu, Yong and Parker, Benjamin D. and Esser, Steven K. and Montoye, Robert K. and Rajendran, Bipin and Tierno, Jose A. and Chang, Leland and Modha, Dharmendra S. and Friedman, Daniel J.},
booktitle = {2011 IEEE Custom Integrated Circuits Conference (CICC)},
doi = {10.1109/CICC.2011.6055293},
isbn = {978-1-4577-0222-8},
issn = {08865930},
month = {sep},
pages = {1--4},
publisher = {IEEE},
title = {{A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons}},
url = {http://ieeexplore.ieee.org/document/6055293/},
year = {2011}
}
@article{Shinomoto2009,
author = {Shinomoto, Shigeru and Kim, Hideaki and Shimokawa, Takeaki and Matsuno, Nanae and Funahashi, Shintaro and Shima, Keisetsu and Fujita, Ichiro and Tamura, Hiroshi and Doi, Taijiro and Kawano, Kenji and Inaba, Naoko and Fukushima, Kikuro and Kurkin, Sergei and Kurata, Kiyoshi and Taira, Masato and Tsutsui, Ken Ichiro and Komatsu, Hidehiko and Ogawa, Tadashi and Koida, Kowa and Tanji, Jun and Toyama, Keisuke},
doi = {10.1371/journal.pcbi.1000433},
issn = {1553734X},
journal = {PLoS Computational Biology},
number = {7},
pmid = {19593378},
title = {{Relating neuronal firing patterns to functional differentiation of cerebral cortex}},
volume = {5},
year = {2009}
}
@article{Stimberg2019,
author = {Stimberg, Marcel and Brette, Romain and Goodman, Dan F.M.},
doi = {10.7554/eLife.47314},
issn = {2050084X},
journal = {eLife},
pages = {1--41},
pmid = {31429824},
title = {{Brian 2, an intuitive and efficient neural simulator}},
volume = {8},
year = {2019}
}
@article{VanAlbada2015,
archivePrefix = {arXiv},
arxivId = {1411.4770},
author = {van Albada, Sacha Jennifer and Helias, Moritz and Diesmann, Markus},
doi = {10.1371/journal.pcbi.1004490},
eprint = {1411.4770},
isbn = {1553-7358 (Electronic)$\backslash$r1553-734X (Linking)},
issn = {15537358},
journal = {PLoS Computational Biology},
number = {9},
pages = {1--37},
pmid = {26325661},
title = {{Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations}},
volume = {11},
year = {2015}
}
@incollection{VanAlbada2020,
author = {van Albada, Sacha Jennifer and Pronold, Jari and van Meegen, A and Diesmann, Markus},
booktitle = {Brain-Inspired Computing},
editor = {Amunts, K and Grandinetti, L and Lippert, Thomas and Petkov, Nicolai},
keywords = {complexity bar-,computational neuroscience,cortex,primate,reproducibility,reusability,simulations,spiking neural networks,strong scaling},
publisher = {Springer},
title = {{Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex}},
year = {in press},
}
@software{VanAlbada2020b,
author = {van Albada, Sacha Jennifer and
van Meegen, A and
Knight, James C. and
Schuecker, J and
Pronold, Jari},
title = {{neworderofjamie/multi-area-model: PyGeNN multiarea
model 1.0.0}},
month = nov,
year = 2020,
publisher = {Zenodo},
version = {1.0.0},
doi = {10.5281/zenodo.4271816},
url = {https://doi.org/10.5281/zenodo.4271816}
}
@article{Vogels2005,
author = {Vogels, Tim P and Abbott, L. F},
doi = {10.1523/JNEUROSCI.3508-05.2005},
isbn = {1529-2401 (Electronic)$\backslash$r0270-6474 (Linking)},
issn = {0270-6474, 1529-2401},
journal = {The Journal of Neuroscience},
keywords = {integrate-and-fire neurons,logic gates,network models,propagation,rate coding,sensory processing,synfire chains},
number = {46},
pages = {10786--10795},
pmid = {16291952},
title = {{Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons}},
url = {http://www.jneurosci.org/content/25/46/10786},
volume = {25},
year = {2005}
}
@article{Wang2010,
author = {Wang, Guibin and Lin, Yi Song and Yi, Wei},
doi = {10.1109/GreenCom-CPSCom.2010.102},
isbn = {9780769543314},
journal = {Proceedings - 2010 IEEE/ACM International Conference on Green Computing and Communications, GreenCom 2010, 2010 IEEE/ACM International Conference on Cyber, Physical and Social Computing, CPSCom 2010},
keywords = {GPGPU,Kernel fusion,Power efficiency,Power optimization},
pages = {344--350},
publisher = {IEEE},
title = {{Kernel fusion: An effective method for better power efficiency on multithreaded GPU}},
year = {2010}
}
@article{Yavuz2016,
author = {Yavuz, Esin and Turner, James and Nowotny, Thomas},
doi = {10.1038/srep18854},
issn = {2045-2322},
journal = {Scientific Reports},
number = {},
pages = {18854},
pmid = {26740369},
publisher = {Nature Publishing Group},
title = {{GeNN: a code generation framework for accelerated brain simulations.}},
url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4703976},
volume = {6},
year = {2016}
}