A citation-based method for searching scientific literature

Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel. Front Neuroinform 2020
Times Cited: 2







List of co-cited articles
2 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Reconstruction and Simulation of Neocortical Microcircuitry.
Henry Markram, Eilif Muller, Srikanth Ramaswamy, Michael W Reimann, Marwan Abdellah, Carlos Aguado Sanchez, Anastasia Ailamaki, Lidia Alonso-Nanclares, Nicolas Antille, Selim Arsever,[...]. Cell 2015
492
100

Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex.
Yazan N Billeh, Binghuang Cai, Sergey L Gratiy, Kael Dai, Ramakrishnan Iyer, Nathan W Gouwens, Reza Abbasi-Asl, Xiaoxuan Jia, Joshua H Siegle, Shawn R Olsen,[...]. Neuron 2020
27
100


Rate, timing, and cooperativity jointly determine cortical synaptic plasticity.
P J Sjöström, G G Turrigiano, S B Nelson. Neuron 2001
627
50

NEURON: a tool for neuroscientists.
M L Hines, N T Carnevale. Neuroscientist 2001
337
50

The Convallis rule for unsupervised learning in cortical networks.
Pierre Yger, Kenneth D Harris. PLoS Comput Biol 2013
12
50

Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics.
Eduardo Ros, Richard Carrillo, Eva M Ortigosa, Boris Barbour, Rodrigo Agís. Neural Comput 2006
39
50

Equation-oriented specification of neural models for simulations.
Marcel Stimberg, Dan F M Goodman, Victor Benichoux, Romain Brette. Front Neuroinform 2014
59
50


Exact subthreshold integration with continuous spike times in discrete-time neural network simulations.
Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann. Neural Comput 2007
64
50



Prospective Coding by Spiking Neurons.
Johanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, Walter Senn. PLoS Comput Biol 2016
12
50

A neuronal learning rule for sub-millisecond temporal coding.
W Gerstner, R Kempter, J L van Hemmen, H Wagner. Nature 1996
531
50

Python in neuroscience.
Eilif Muller, James A Bednar, Markus Diesmann, Marc-Oliver Gewaltig, Michael Hines, Andrew P Davison. Front Neuroinform 2015
27
50

Six networks on a universal neuromorphic computing substrate.
Thomas Pfeil, Andreas Grübl, Sebastian Jeltsch, Eric Müller, Paul Müller, Mihai A Petrovici, Michael Schmuker, Daniel Brüderle, Johannes Schemmel, Karlheinz Meier. Front Neurosci 2013
39
50

Learning by the dendritic prediction of somatic spiking.
Robert Urbanczik, Walter Senn. Neuron 2014
63
50


NEVESIM: event-driven neural simulation framework with a Python interface.
Dejan Pecevski, David Kappel, Zeno Jonke. Front Neuroinform 2014
6
50

Learning real-world stimuli in a neural network with spike-driven synaptic dynamics.
Joseph M Brader, Walter Senn, Stefano Fusi. Neural Comput 2007
108
50

Limits to the development of feed-forward structures in large recurrent neuronal networks.
Susanne Kunkel, Markus Diesmann, Abigail Morrison. Front Comput Neurosci 2011
29
50

Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
50

Spike-timing-dependent plasticity in balanced random networks.
Abigail Morrison, Ad Aertsen, Markus Diesmann. Neural Comput 2007
160
50

Phenomenological models of synaptic plasticity based on spike timing.
Abigail Morrison, Markus Diesmann, Wulfram Gerstner. Biol Cybern 2008
211
50


Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel. Front Neuroinform 2018
25
50

Connectivity reflects coding: a model of voltage-based STDP with homeostasis.
Claudia Clopath, Lars Büsing, Eleni Vasilaki, Wulfram Gerstner. Nat Neurosci 2010
291
50

Event-driven contrastive divergence for spiking neuromorphic systems.
Emre Neftci, Srinjoy Das, Bruno Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs. Front Neurosci 2014
50
50

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines.
Emre O Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis. Front Neurosci 2017
42
50

Highly nonrandom features of synaptic connectivity in local cortical circuits.
Sen Song, Per Jesper Sjöström, Markus Reigl, Sacha Nelson, Dmitri B Chklovskii. PLoS Biol 2005
792
50

Matching recall and storage in sequence learning with spiking neural networks.
Johanni Brea, Walter Senn, Jean-Pascal Pfister. J Neurosci 2013
51
50


STDP and STDP variations with memristors for spiking neuromorphic learning systems.
T Serrano-Gotarredona, T Masquelier, T Prodromakis, G Indiveri, B Linares-Barranco. Front Neurosci 2013
65
50


Toward unified hybrid simulation techniques for spiking neural networks.
Michiel D'Haene, Michiel Hermans, Benjamin Schrauwen. Neural Comput 2014
5
50

Advancing the boundaries of high-connectivity network simulation with distributed computing.
Abigail Morrison, Carsten Mehring, Theo Geisel, A D Aertsen, Markus Diesmann. Neural Comput 2005
79
50

ModelDB: A Database to Support Computational Neuroscience.
Michael L Hines, Thomas Morse, Michele Migliore, Nicholas T Carnevale, Gordon M Shepherd. J Comput Neurosci 2004
216
50

Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons.
Jeyashree Krishnan, PierGianLuca Porta Mana, Moritz Helias, Markus Diesmann, Edoardo Di Napoli. Front Neuroinform 2018
3
50

A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas.
Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada. PLoS Comput Biol 2018
18
50

Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System.
Simon Friedmann, Johannes Schemmel, Andreas Grubl, Andreas Hartel, Matthias Hock, Karlheinz Meier. IEEE Trans Biomed Circuits Syst 2017
25
50


Learning spatiotemporal signals using a recurrent spiking network that discretizes time.
Amadeus Maes, Mauricio Barahona, Claudia Clopath. PLoS Comput Biol 2020
8
50

Run-time interoperability between neuronal network simulators based on the MUSIC framework.
Mikael Djurfeldt, Johannes Hjorth, Jochen M Eppler, Niraj Dudani, Moritz Helias, Tobias C Potjans, Upinder S Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Orjan Ekeberg. Neuroinformatics 2010
38
50

Voltage and Spike Timing Interact in STDP - A Unified Model.
Claudia Clopath, Wulfram Gerstner. Front Synaptic Neurosci 2010
39
50

A framework for plasticity implementation on the SpiNNaker neural architecture.
Francesco Galluppi, Xavier Lagorce, Evangelos Stromatias, Michael Pfeiffer, Luis A Plana, Steve B Furber, Ryad B Benosman. Front Neurosci 2015
23
50

Simulation of networks of spiking neurons: a review of tools and strategies.
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M Bower, Markus Diesmann, Abigail Morrison, Philip H Goodman, Frederick C Harris,[...]. J Comput Neurosci 2007
261
50

Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity.
Sadra Sadeh, Claudia Clopath, Stefan Rotter. PLoS Comput Biol 2015
18
50

A solution to the learning dilemma for recurrent networks of spiking neurons.
Guillaume Bellec, Franz Scherr, Anand Subramoney, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass. Nat Commun 2020
25
50


Efficient generation of connectivity in neuronal networks from simulator-independent descriptions.
Mikael Djurfeldt, Andrew P Davison, Jochen M Eppler. Front Neuroinform 2014
5
50


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.