A citation-based method for searching scientific literature

Nicolas Frémaux, Wulfram Gerstner. Front Neural Circuits 2016
Times Cited: 101







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



Times Cited
  Times     Co-cited
Similarity


Timing is not Everything: Neuromodulation Opens the STDP Gate.
Verena Pawlak, Jeffery R Wickens, Alfredo Kirkwood, Jason N D Kerr. Front Synaptic Neurosci 2010
151
30


Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
29


A critical time window for dopamine actions on the structural plasticity of dendritic spines.
Sho Yagishita, Akiko Hayashi-Takagi, Graham C R Ellis-Davies, Hidetoshi Urakubo, Shin Ishii, Haruo Kasai. Science 2014
272
23

Distinct Eligibility Traces for LTP and LTD in Cortical Synapses.
Kaiwen He, Marco Huertas, Su Z Hong, XiaoXiu Tie, Johannes W Hell, Harel Shouval, Alfredo Kirkwood. Neuron 2015
88
23

Neuromodulators control the polarity of spike-timing-dependent synaptic plasticity.
Geun Hee Seol, Jokubas Ziburkus, ShiYong Huang, Lihua Song, In Tae Kim, Kogo Takamiya, Richard L Huganir, Hey-Kyoung Lee, Alfredo Kirkwood. Neuron 2007
271
19



Connectivity reflects coding: a model of voltage-based STDP with homeostasis.
Claudia Clopath, Lars Büsing, Eleni Vasilaki, Wulfram Gerstner. Nat Neurosci 2010
298
17

Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation.
Zuzanna Brzosko, Sara Zannone, Wolfram Schultz, Claudia Clopath, Ole Paulsen. Elife 2017
36
47

The spike-timing dependence of plasticity.
Daniel E Feldman. Neuron 2012
397
16

Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules.
Wulfram Gerstner, Marco Lehmann, Vasiliki Liakoni, Dane Corneil, Johanni Brea. Front Neural Circuits 2018
56
28




Retroactive modulation of spike timing-dependent plasticity by dopamine.
Zuzanna Brzosko, Wolfram Schultz, Ole Paulsen. Elife 2015
55
25

The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
14

Learning with three factors: modulating Hebbian plasticity with errors.
Łukasz Kuśmierz, Takuya Isomura, Taro Toyoizumi. Curr Opin Neurobiol 2017
29
48

Reinforcement learning using a continuous time actor-critic framework with spiking neurons.
Nicolas Frémaux, Henning Sprekeler, Wulfram Gerstner. PLoS Comput Biol 2013
49
28

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
14

Rate, timing, and cooperativity jointly determine cortical synaptic plasticity.
P J Sjöström, G G Turrigiano, S B Nelson. Neuron 2001
640
13

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
13

Neuromodulation of neurons and synapses.
Farzan Nadim, Dirk Bucher. Curr Opin Neurobiol 2014
116
12


A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback.
Robert Legenstein, Dejan Pecevski, Wolfgang Maass. PLoS Comput Biol 2008
105
12

Behavioral time scale synaptic plasticity underlies CA1 place fields.
Katie C Bittner, Aaron D Milstein, Christine Grienberger, Sandro Romani, Jeffrey C Magee. Science 2017
190
12


Human-level control through deep reinforcement learning.
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski,[...]. Nature 2015
959
11

Random synaptic feedback weights support error backpropagation for deep learning.
Timothy P Lillicrap, Daniel Cownden, Douglas B Tweed, Colin J Akerman. Nat Commun 2016
132
11

Control of synaptic plasticity in deep cortical networks.
Pieter R Roelfsema, Anthony Holtmaat. Nat Rev Neurosci 2018
74
14

LTP and LTD: an embarrassment of riches.
Robert C Malenka, Mark F Bear. Neuron 2004
10

Uncertainty, neuromodulation, and attention.
Angela J Yu, Peter Dayan. Neuron 2005
867
10

Active Inference: A Process Theory.
Karl Friston, Thomas FitzGerald, Francesco Rigoli, Philipp Schwartenbeck, Giovanni Pezzulo. Neural Comput 2017
253
10

Towards deep learning with segregated dendrites.
Jordan Guerguiev, Timothy P Lillicrap, Blake A Richards. Elife 2017
103
10



Hebbian and neuromodulatory mechanisms interact to trigger associative memory formation.
Joshua P Johansen, Lorenzo Diaz-Mataix, Hiroki Hamanaka, Takaaki Ozawa, Edgar Ycu, Jenny Koivumaa, Ashwani Kumar, Mian Hou, Karl Deisseroth, Edward S Boyden,[...]. Proc Natl Acad Sci U S A 2014
89
10

Spike timing-dependent plasticity: a Hebbian learning rule.
Natalia Caporale, Yang Dan. Annu Rev Neurosci 2008
645
9

GABAergic circuits control spike-timing-dependent plasticity.
Vincent Paille, Elodie Fino, Kai Du, Teresa Morera-Herreras, Sylvie Perez, Jeanette Hellgren Kotaleski, Laurent Venance. J Neurosci 2013
73
12

Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy Principle.
Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo. PLoS Comput Biol 2015
21
42

Matching recall and storage in sequence learning with spiking neural networks.
Johanni Brea, Walter Senn, Jean-Pascal Pfister. J Neurosci 2013
57
15

Reinforcement learning in populations of spiking neurons.
Robert Urbanczik, Walter Senn. Nat Neurosci 2009
52
17


Learning by the dendritic prediction of somatic spiking.
Robert Urbanczik, Walter Senn. Neuron 2014
73
12


A neuronal learning rule for sub-millisecond temporal coding.
W Gerstner, R Kempter, J L van Hemmen, H Wagner. Nature 1996
538
9

SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.
Friedemann Zenke, Surya Ganguli. Neural Comput 2018
63
14

The Bayesian brain: the role of uncertainty in neural coding and computation.
David C Knill, Alexandre Pouget. Trends Neurosci 2004
923
8

A history of spike-timing-dependent plasticity.
Henry Markram, Wulfram Gerstner, Per Jesper Sjöström. Front Synaptic Neurosci 2011
159
8


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.