A citation-based method for searching scientific literature

S Song, K D Miller, L F Abbott. Nat Neurosci 2000
Times Cited: 970







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



Times Cited
  Times     Co-cited
Similarity



Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
35

Spike timing-dependent plasticity: a Hebbian learning rule.
Natalia Caporale, Yang Dan. Annu Rev Neurosci 2008
641
16

A neuronal learning rule for sub-millisecond temporal coding.
W Gerstner, R Kempter, J L van Hemmen, H Wagner. Nature 1996
536
15

Connectivity reflects coding: a model of voltage-based STDP with homeostasis.
Claudia Clopath, Lars Büsing, Eleni Vasilaki, Wulfram Gerstner. Nat Neurosci 2010
297
14

Phenomenological models of synaptic plasticity based on spike timing.
Abigail Morrison, Markus Diesmann, Wulfram Gerstner. Biol Cybern 2008
222
14

Synaptic plasticity: taming the beast.
L F Abbott, S B Nelson. Nat Neurosci 2000
937
13

Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
967
13


Triplets of spikes in a model of spike timing-dependent plasticity.
Jean-Pascal Pfister, Wulfram Gerstner. J Neurosci 2006
256
11


The spike-timing dependence of plasticity.
Daniel E Feldman. Neuron 2012
395
10

Rate, timing, and cooperativity jointly determine cortical synaptic plasticity.
P J Sjöström, G G Turrigiano, S B Nelson. Neuron 2001
639
10


Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface.
Paul A Merolla, John V Arthur, Rodrigo Alvarez-Icaza, Andrew S Cassidy, Jun Sawada, Filipp Akopyan, Bryan L Jackson, Nabil Imam, Chen Guo, Yutaka Nakamura,[...]. Science 2014
505
9


Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks.
T P Vogels, H Sprekeler, F Zenke, C Clopath, W Gerstner. Science 2011
293
8

Stable Hebbian learning from spike timing-dependent plasticity.
M C van Rossum, G Q Bi, G G Turrigiano. J Neurosci 2000
362
8




A unified model of NMDA receptor-dependent bidirectional synaptic plasticity.
Harel Z Shouval, Mark F Bear, Leon N Cooper. Proc Natl Acad Sci U S A 2002
329
7

Which model to use for cortical spiking neurons?
Eugene M Izhikevich. IEEE Trans Neural Netw 2004
508
7

Homeostatic plasticity in the developing nervous system.
Gina G Turrigiano, Sacha B Nelson. Nat Rev Neurosci 2004
7

Polychronization: computation with spikes.
Eugene M Izhikevich. Neural Comput 2006
331
7


Short-term synaptic plasticity.
Robert S Zucker, Wade G Regehr. Annu Rev Physiol 2002
7

Spike-timing-dependent synaptic plasticity depends on dendritic location.
Robert C Froemke, Mu-Ming Poo, Yang Dan. Nature 2005
260
7

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
6


Dendritic excitability and synaptic plasticity.
P Jesper Sjöström, Ede A Rancz, Arnd Roth, Michael Häusser. Physiol Rev 2008
374
6

Collective dynamics of 'small-world' networks.
D J Watts, S H Strogatz. Nature 1998
6

Nanoscale memristor device as synapse in neuromorphic systems.
Sung Hyun Jo, Ting Chang, Idongesit Ebong, Bhavitavya B Bhadviya, Pinaki Mazumder, Wei Lu. Nano Lett 2010
681
6

Multi-terminal memtransistors from polycrystalline monolayer molybdenum disulfide.
Vinod K Sangwan, Hong-Sub Lee, Hadallia Bergeron, Itamar Balla, Megan E Beck, Kan-Sheng Chen, Mark C Hersam. Nature 2018
170
6

Experimental demonstration of a second-order memristor and its ability to biorealistically implement synaptic plasticity.
Sungho Kim, Chao Du, Patrick Sheridan, Wen Ma, ShinHyun Choi, Wei D Lu. Nano Lett 2015
116
6










STDP-based spiking deep convolutional neural networks for object recognition.
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, Timothée Masquelier. Neural Netw 2018
75
6


Retroactive modulation of spike timing-dependent plasticity by dopamine.
Zuzanna Brzosko, Wolfram Schultz, Ole Paulsen. Elife 2015
55
9


Relating STDP to BCM.
Eugene M Izhikevich, Niraj S Desai. Neural Comput 2003
137
5



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.