A citation-based method for searching scientific literature

Yosef Singer, Yayoi Teramoto, Ben Db Willmore, Jan Wh Schnupp, Andrew J King, Nicol S Harper. Elife 2018
Times Cited: 11







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



Times Cited
  Times     Co-cited
Similarity



Canonical microcircuits for predictive coding.
Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston. Neuron 2012
868
45

A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
36

Incorporating Midbrain Adaptation to Mean Sound Level Improves Models of Auditory Cortical Processing.
Ben D B Willmore, Oliver Schoppe, Andrew J King, Jan W H Schnupp, Nicol S Harper. J Neurosci 2016
23
36

The free-energy principle: a unified brain theory?
Karl Friston. Nat Rev Neurosci 2010
27


Neural population coding of sound level adapts to stimulus statistics.
Isabel Dean, Nicol S Harper, David McAlpine. Nat Neurosci 2005
307
27

Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical Neurons.
Nicol S Harper, Oliver Schoppe, Ben D B Willmore, Zhanfeng Cui, Jan W H Schnupp, Andrew J King. PLoS Comput Biol 2016
24
27

Random synaptic feedback weights support error backpropagation for deep learning.
Timothy P Lillicrap, Daniel Cownden, Douglas B Tweed, Colin J Akerman. Nat Commun 2016
104
27

A neural substrate of prediction and reward.
W Schultz, P Dayan, P R Montague. Science 1997
27

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
27


Dynamic range adaptation to sound level statistics in the auditory nerve.
Bo Wen, Grace I Wang, Isabel Dean, Bertrand Delgutte. J Neurosci 2009
115
18

Optimizing sound features for cortical neurons.
R C deCharms, D T Blake, M M Merzenich. Science 1998
306
18


Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex.
Jonathan Fritz, Shihab Shamma, Mounya Elhilali, David Klein. Nat Neurosci 2003
496
18

Sparse codes for speech predict spectrotemporal receptive fields in the inferior colliculus.
Nicole L Carlson, Vivienne L Ming, Michael Robert Deweese. PLoS Comput Biol 2012
35
18


Central auditory neurons have composite receptive fields.
Andrei S Kozlov, Timothy Q Gentner. Proc Natl Acad Sci U S A 2016
27
18

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
72
18


Learning Midlevel Auditory Codes from Natural Sound Statistics.
Wiktor Młynarski, Josh H McDermott. Neural Comput 2018
20
18


Predictive coding and pitch processing in the auditory cortex.
Sukhbinder Kumar, William Sedley, Kirill V Nourski, Hiroto Kawasaki, Hiroyuki Oya, Roy D Patterson, Matthew A Howard, Karl J Friston, Timothy D Griffiths. J Cogn Neurosci 2011
43
18

Spectrotemporal contrast kernels for neurons in primary auditory cortex.
Neil C Rabinowitz, Ben D B Willmore, Jan W H Schnupp, Andrew J King. J Neurosci 2012
42
18

The Hierarchical Cortical Organization of Human Speech Processing.
Wendy A de Heer, Alexander G Huth, Thomas L Griffiths, Jack L Gallant, Frédéric E Theunissen. J Neurosci 2017
67
18


Rapid neural adaptation to sound level statistics.
Isabel Dean, Ben L Robinson, Nicol S Harper, David McAlpine. J Neurosci 2008
124
18


Towards deep learning with segregated dendrites.
Jordan Guerguiev, Timothy P Lillicrap, Blake A Richards. Elife 2017
78
18

Dendritic solutions to the credit assignment problem.
Blake A Richards, Timothy P Lillicrap. Curr Opin Neurobiol 2019
22
18

Control of synaptic plasticity in deep cortical networks.
Pieter R Roelfsema, Anthony Holtmaat. Nat Rev Neurosci 2018
56
18

Vector-based navigation using grid-like representations in artificial agents.
Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J Chadwick, Thomas Degris, Joseph Modayil,[...]. Nature 2018
90
18

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation.
Benjamin Scellier, Yoshua Bengio. Front Comput Neurosci 2017
36
18


Learning curves for stochastic gradient descent in linear feedforward networks.
Justin Werfel, Xiaohui Xie, H Sebastian Seung. Neural Comput 2005
31
18


Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
141
18

Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction.
Eiji Watanabe, Akiyoshi Kitaoka, Kiwako Sakamoto, Masaki Yasugi, Kenta Tanaka. Front Psychol 2018
10
20

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
18

Cortical representation of the constituent structure of sentences.
Christophe Pallier, Anne-Dominique Devauchelle, Stanislas Dehaene. Proc Natl Acad Sci U S A 2011
248
18



On the existence of a generalized non-specific task-dependent network.
Kenneth Hugdahl, Marcus E Raichle, Anish Mitra, Karsten Specht. Front Hum Neurosci 2015
80
18


Language-related domain-specific and domain-general systems in the human brain.
Karen L Campbell, Lorraine K Tyler. Curr Opin Behav Sci 2018
19
18

Prediction During Natural Language Comprehension.
Roel M Willems, Stefan L Frank, Annabel D Nijhof, Peter Hagoort, Antal van den Bosch. Cereb Cortex 2016
60
18

Neural integration of top-down spatial and feature-based information in visual search.
Tobias Egner, Jim M P Monti, Emily H Trittschuh, Christina A Wieneke, Joy Hirsch, M-Marsel Mesulam. J Neurosci 2008
134
18

Broad domain generality in focal regions of frontal and parietal cortex.
Evelina Fedorenko, John Duncan, Nancy Kanwisher. Proc Natl Acad Sci U S A 2013
378
18



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.