A citation-based method for searching scientific literature

Timothy P Lillicrap, Daniel Cownden, Douglas B Tweed, Colin J Akerman. Nat Commun 2016
Times Cited: 115







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



Times Cited
  Times     Co-cited
Similarity


Towards deep learning with segregated dendrites.
Jordan Guerguiev, Timothy P Lillicrap, Blake A Richards. Elife 2017
89
42

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
36



Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
351
19

Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
151
18

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


Training Deep Spiking Neural Networks Using Backpropagation.
Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer. Front Neurosci 2016
97
16

Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
480
15

Control of synaptic plasticity in deep cortical networks.
Pieter R Roelfsema, Anthony Holtmaat. Nat Rev Neurosci 2018
63
23


Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
359
14

Learning by the dendritic prediction of somatic spiking.
Robert Urbanczik, Walter Senn. Neuron 2014
63
22

Dendritic solutions to the credit assignment problem.
Blake A Richards, Timothy P Lillicrap. Curr Opin Neurobiol 2019
31
45

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
466
13


Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
13

Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights.
Arash Samadi, Timothy P Lillicrap, Douglas B Tweed. Neural Comput 2017
19
68

Theories of Error Back-Propagation in the Brain.
James C R Whittington, Rafal Bogacz. Trends Cogn Sci 2019
51
25

Backpropagation and the brain.
Timothy P Lillicrap, Adam Santoro, Luke Marris, Colin J Akerman, Geoffrey Hinton. Nat Rev Neurosci 2020
62
20

Behavioral time scale synaptic plasticity underlies CA1 place fields.
Katie C Bittner, Aaron D Milstein, Christine Grienberger, Sandro Romani, Jeffrey C Magee. Science 2017
160
12


SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.
Friedemann Zenke, Surya Ganguli. Neural Comput 2018
55
21

Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
11

Learning in the Machine: Random Backpropagation and the Deep Learning Channel.
Pierre Baldi, Peter Sadowski, Zhiqin Lu. Artif Intell 2018
14
78

Supervised Learning Based on Temporal Coding in Spiking Neural Networks.
Hesham Mostafa. IEEE Trans Neural Netw Learn Syst 2018
41
26



Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules.
Nicolas Frémaux, Wulfram Gerstner. Front Neural Circuits 2016
87
11

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
246
10


Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
182
10

Mastering the game of Go with deep neural networks and tree search.
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot,[...]. Nature 2016
944
10

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
77
11





Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
9


Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
917
9



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
835
8


Real-time classification and sensor fusion with a spiking deep belief network.
Peter O'Connor, Daniel Neil, Shih-Chii Liu, Tobi Delbruck, Michael Pfeiffer. Front Neurosci 2013
79
10

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses.
Ning Qiao, Hesham Mostafa, Federico Corradi, Marc Osswald, Fabio Stefanini, Dora Sumislawska, Giacomo Indiveri. Front Neurosci 2015
98
8

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