A citation-based method for searching scientific literature

Merse E Gáspár, Pierre-Olivier Polack, Peyman Golshani, Máté Lengyel, Gergő Orbán. Elife 2019
Times Cited: 1







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



Times Cited
  Times     Co-cited
Similarity


How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
523
100



Optimal Degrees of Synaptic Connectivity.
Ashok Litwin-Kumar, Kameron Decker Harris, Richard Axel, Haim Sompolinsky, L F Abbott. Neuron 2017
79
100

Learning Data Manifolds with a Cutting Plane Method.
SueYeon Chung, Uri Cohen, Haim Sompolinsky, Daniel D Lee. Neural Comput 2018
2
100



Object category structure in response patterns of neuronal population in monkey inferior temporal cortex.
Roozbeh Kiani, Hossein Esteky, Koorosh Mirpour, Keiji Tanaka. J Neurophysiol 2007
263
100

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
823
100

Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
796
100

Re-evaluating Circuit Mechanisms Underlying Pattern Separation.
N Alex Cayco-Gajic, R Angus Silver. Neuron 2019
46
100


The importance of mixed selectivity in complex cognitive tasks.
Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
516
100

Linear readout of object manifolds.
SueYeon Chung, Daniel D Lee, Haim Sompolinsky. Phys Rev E 2016
6
100

Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
344
100

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
182
100

Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David Gt Barrett, Ari S Morcos, Jakob H Macke. Curr Opin Neurobiol 2019
14
100

In situ immune response and mechanisms of cell damage in central nervous system of fatal cases microcephaly by Zika virus.
Raimunda S S Azevedo, Jorge R de Sousa, Marialva T F Araujo, Arnaldo J Martins Filho, Bianca N de Alcantara, Fernanda M C Araujo, Maria G L Queiroz, Ana C R Cruz, Beatriz H Baldez Vasconcelos, Jannifer O Chiang,[...]. Sci Rep 2018
100

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
436
100

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
100

High-dimensional geometry of population responses in visual cortex.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Matteo Carandini, Kenneth D Harris. Nature 2019
62
100

Matching categorical object representations in inferior temporal cortex of man and monkey.
Nikolaus Kriegeskorte, Marieke Mur, Douglas A Ruff, Roozbeh Kiani, Jerzy Bodurka, Hossein Esteky, Keiji Tanaka, Peter A Bandettini. Neuron 2008
626
100

Untangling featural and conceptual object representations.
Tijl Grootswagers, Amanda K Robinson, Sophia M Shatek, Thomas A Carlson. Neuroimage 2019
2
100

Decorrelation and efficient coding by retinal ganglion cells.
Xaq Pitkow, Markus Meister. Nat Neurosci 2012
90
100

Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition.
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier. Sci Rep 2016
46
100



Perceptual straightening of natural videos.
Olivier J Hénaff, Robbe L T Goris, Eero P Simoncelli. Nat Neurosci 2019
6
100

Sparseness and expansion in sensory representations.
Baktash Babadi, Haim Sompolinsky. Neuron 2014
60
100

Signals in inferotemporal and perirhinal cortex suggest an untangling of visual target information.
Marino Pagan, Luke S Urban, Margot P Wohl, Nicole C Rust. Nat Neurosci 2013
64
100

Computational neuroscience: beyond the local circuit.
Haim Sompolinsky. Curr Opin Neurobiol 2014
22
100

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
100


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.