A citation-based method for searching scientific literature

Pietro Berkes, Laurenz Wiskott. J Vis 2005
Times Cited: 76



Laurenz Wiskott, Terrence J Sejnowski. Neural Comput 2002
Times Cited: 209




List of shared articles



Times cited


Modeling place field activity with hierarchical slow feature analysis.
Fabian Schönfeld, Laurenz Wiskott. Front Comput Neurosci 2015
4

Slow feature analysis for human action recognition.
Zhang Zhang, Dacheng Tao. IEEE Trans Pattern Anal Mach Intell 2012
22

Reinforcement learning on slow features of high-dimensional input streams.
Robert Legenstein, Niko Wilbert, Laurenz Wiskott. PLoS Comput Biol 2010
14

Neural tuning and representational geometry.
Nikolaus Kriegeskorte, Xue-Xin Wei. Nat Rev Neurosci 2021
0

Improving sensory representations using episodic memory.
Richard Görler, Laurenz Wiskott, Sen Cheng. Hippocampus 2020
1

Periodic clustering of simple and complex cells in visual cortex.
Gwangsu Kim, Jaeson Jang, Se-Bum Paik. Neural Netw 2021
0

Sensory cortex is optimized for prediction of future input.
Yosef Singer, Yayoi Teramoto, Ben Db Willmore, Jan Wh Schnupp, Andrew J King, Nicol S Harper. Elife 2018
13


Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
848

The Interaction between Semantic Representation and Episodic Memory.
Jing Fang, Naima Rüther, Christian Bellebaum, Laurenz Wiskott, Sen Cheng. Neural Comput 2018
6

Analysis and interpretation of quadratic models of receptive fields.
Pietro Berkes, Laurenz Wiskott. Nat Protoc 2007
2

Learning invariance from natural images inspired by observations in the primary visual cortex.
Michael Teichmann, Jan Wiltschut, Fred Hamker. Neural Comput 2012
3

Slow feature analysis on retinal waves leads to V1 complex cells.
Sven Dähne, Niko Wilbert, Laurenz Wiskott. PLoS Comput Biol 2014
4

Temporal Variance Analysis for Action Recognition.
Jie Miao, Xiangmin Xu, Shuoyang Qiu, Chunmei Qing, Dacheng Tao. IEEE Trans Image Process 2015
2

On Time Scales of Intrinsic Oscillations in the Climate System.
Anastasios A Tsonis, Geli Wang, Wenxu Lu, Sergey Kravtsov, Christopher Essex, Michael W Asten. Entropy (Basel) 2021
0

Slowness and sparseness lead to place, head-direction, and spatial-view cells.
Mathias Franzius, Henning Sprekeler, Laurenz Wiskott. PLoS Comput Biol 2007
69


Slowness: an objective for spike-timing-dependent plasticity?
Henning Sprekeler, Christian Michaelis, Laurenz Wiskott. PLoS Comput Biol 2007
35

Probabilistic Slow Features for Behavior Analysis.
Lazaros Zafeiriou, Mihalis A Nicolaou, Stefanos Zafeiriou, Symeon Nikitidis, Maja Pantic. IEEE Trans Neural Netw Learn Syst 2016
3

Faces in early visual environments are persistent not just frequent.
Swapnaa Jayaraman, Linda B Smith. Vision Res 2019
6


A structured model of video reproduces primary visual cortical organisation.
Pietro Berkes, Richard E Turner, Maneesh Sahani. PLoS Comput Biol 2009
19

Learning intermediate-level representations of form and motion from natural movies.
Charles F Cadieu, Bruno A Olshausen. Neural Comput 2012
23

A maximum-likelihood interpretation for slow feature analysis.
Richard Turner, Maneesh Sahani. Neural Comput 2007
12

Online kernel slow feature analysis for temporal video segmentation and tracking.
Stephan Liwicki, Stefanos P Zafeiriou, Maja Pantic. IEEE Trans Image Process 2015
3


Learning Visual Spatial Pooling by Strong PCA Dimension Reduction.
Haruo Hosoya, Aapo Hyvärinen. Neural Comput 2016
5

A place for time: the spatiotemporal structure of neural dynamics during natural audition.
Greg J Stephens, Christopher J Honey, Uri Hasson. J Neurophysiol 2013
61

Slow feature analysis with spiking neurons and its application to audio stimuli.
Guillaume Bellec, Mathieu Galtier, Romain Brette, Pierre Yger. J Comput Neurosci 2016
0



The development of newborn object recognition in fast and slow visual worlds.
Justin N Wood, Samantha M W Wood. Proc Biol Sci 2016
10


A computational exploration of complementary learning mechanisms in the primate ventral visual pathway.
Courtney J Spoerer, Akihiro Eguchi, Simon M Stringer. Vision Res 2016
3

Involving motor capabilities in the formation of sensory space representations.
Daniel Weiller, Robert Märtin, Sven Dähne, Andreas K Engel, Peter König. PLoS One 2010
2

RatLab: an easy to use tool for place code simulations.
Fabian Schönfeld, Laurenz Wiskott. Front Comput Neurosci 2013
2

Temporal Interactions between Cortical Rhythms.
Anita K Roopun, Mark A Kramer, Lucy M Carracedo, Marcus Kaiser, Ceri H Davies, Roger D Traub, Nancy J Kopell, Miles A Whittington. Front Neurosci 2008
94

Improved sparse coding under the influence of perceptual attention.
Ashkan Amiri, Simon Haykin. Neural Comput 2014
4


An application of slow feature analysis to the genetic sequences of coronaviruses and influenza viruses.
Anastasios A Tsonis, Geli Wang, Lvyi Zhang, Wenxu Lu, Aristotle Kayafas, Katia Del Rio-Tsonis. Hum Genomics 2021
1

Learning of somatosensory representations for texture discrimination using a temporal coherence principle.
Joerg Hipp, Wolfgang Einhäuser, Jörg Conradt, Peter König. Network 2005
3



Slowness as a Proxy for Temporal Predictability: An Empirical Comparison.
Björn Weghenkel, Laurenz Wiskott. Neural Comput 2018
2

Learning Slowness in a Sparse Model of Invariant Feature Detection.
Thusitha N Chandrapala, Bertram E Shi. Neural Comput 2015
2

Temporal stability of stimulus representation increases along rodent visual cortical hierarchies.
Eugenio Piasini, Liviu Soltuzu, Paolo Muratore, Riccardo Caramellino, Kasper Vinken, Hans Op de Beeck, Vijay Balasubramanian, Davide Zoccolan. Nat Commun 2021
1

Neural networks and neuroscience-inspired computer vision.
David Daniel Cox, Thomas Dean. Curr Biol 2014
33

Predictive coding and the slowness principle: an information-theoretic approach.
Felix Creutzig, Henning Sprekeler. Neural Comput 2008
20

Invariant object recognition and pose estimation with slow feature analysis.
Mathias Franzius, Niko Wilbert, Laurenz Wiskott. Neural Comput 2011
16