A citation-based method for searching scientific literature

James C R Whittington, Rafal Bogacz. Trends Cogn Sci 2019
Times Cited: 77







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



Times Cited
  Times     Co-cited
Similarity


Backpropagation and the brain.
Timothy P Lillicrap, Adam Santoro, Luke Marris, Colin J Akerman, Geoffrey Hinton. Nat Rev Neurosci 2020
108
37

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
31


Towards deep learning with segregated dendrites.
Jordan Guerguiev, Timothy P Lillicrap, Blake A Richards. Elife 2017
113
22

Random synaptic feedback weights support error backpropagation for deep learning.
Timothy P Lillicrap, Daniel Cownden, Douglas B Tweed, Colin J Akerman. Nat Commun 2016
141
22

A deep learning framework for neuroscience.
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
190
19

A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
14

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
430
14

Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
14



Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
180
12

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
424
12

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
587
12

The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
11

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation.
Benjamin Scellier, Yoshua Bengio. Front Comput Neurosci 2017
59
15

Control of synaptic plasticity in deep cortical networks.
Pieter R Roelfsema, Anthony Holtmaat. Nat Rev Neurosci 2018
80
11

Dendritic solutions to the credit assignment problem.
Blake A Richards, Timothy P Lillicrap. Curr Opin Neurobiol 2019
41
19

Predictive Processing: A Canonical Cortical Computation.
Georg B Keller, Thomas D Mrsic-Flogel. Neuron 2018
183
10

Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
263
10

Deep neural networks rival the representation of primate IT cortex for core visual object recognition.
Charles F Cadieu, Ha Hong, Daniel L K Yamins, Nicolas Pinto, Diego Ardila, Ethan A Solomon, Najib J Majaj, James J DiCarlo. PLoS Comput Biol 2014
220
10




Learning by the dendritic prediction of somatic spiking.
Robert Urbanczik, Walter Senn. Neuron 2014
78
9


Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
654
9

A large-scale model of the functioning brain.
Chris Eliasmith, Terrence C Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. Science 2012
259
7

Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs.
H Markram, J Lübke, M Frotscher, B Sakmann. Science 1997
7

Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
7



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
7

Behavioral time scale synaptic plasticity underlies CA1 place fields.
Katie C Bittner, Aaron D Milstein, Christine Grienberger, Sandro Romani, Jeffrey C Magee. Science 2017
211
7


Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
7




Functional organization of excitatory synaptic strength in primary visual cortex.
Lee Cossell, Maria Florencia Iacaruso, Dylan R Muir, Rachael Houlton, Elie N Sader, Ho Ko, Sonja B Hofer, Thomas D Mrsic-Flogel. Nature 2015
270
6

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
6




A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy.
Alexander J E Kell, Daniel L K Yamins, Erica N Shook, Sam V Norman-Haignere, Josh H McDermott. Neuron 2018
120
6

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
6

Reinforcement Learning, Fast and Slow.
Matthew Botvinick, Sam Ritter, Jane X Wang, Zeb Kurth-Nelson, Charles Blundell, Demis Hassabis. Trends Cogn Sci 2019
84
6





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.