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Our ability to generalize beyond training data to novel, out-of-distribution, image degradations is a hallmark of primate vision.
Analysis of simple reaction time to sinusoidal grating by means of a linear filter model of the detection process
Ejima Yoshimichi, Ohtani Yoshio · 1989
Earlier work this paper cites.
On the relation between stimulus intensity and processing time: Piéron’s law and choice reaction time
Pins Delphine, Bonnet Claude · 1996
Earlier work this paper cites.
Gradient-based learning applied to document recognition
LeCun Yann, Bottou Léon, Bengio Yoshua, Haffner Patrick · 1998
Earlier work this paper cites.
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
Rao Rajesh PN, Ballard Dana H · 1999
Earlier work this paper cites.
The distinct modes of vision offered by feedforward and recurrent processing
Lamme Victor AF, Roelfsema Pieter R · 2000
Earlier work this paper cites.
A theory of cortical responses
Friston Karl · 2005
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Vision as Bayesian inference: analysis by synthesis?
Yuille Alan, Kersten Daniel · 2006
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The free-energy principle: a unified brain theory?
Friston Karl · 2010
Earlier work this paper cites.
Canonical microcircuits for predictive coding
Bastos Andre M, Usrey W Martin, Adams Rick a, Mangun George R, Fries Pascal, Friston Karl J · 2012
Earlier work this paper cites.
The limits of feedforward vision: Recurrent processing promotes robust object recognition when objects are degraded
Wyatte Dean, Curran Tim, O’Reilly Randall · 2012
Earlier work this paper cites.
Stochastic variational inference
Hoffman Matthew D, Blei David M, Wang Chong, Paisley John · 2013
Earlier work this paper cites.
Recurrent Processing during Object Recognition
O’Reilly Randall C, Wyatte Dean, Herd Seth, Mingus Brian, Jilk David J · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma Diederik P, Ba Jimmy · 2014
Earlier work this paper cites.
Stochastic backpropagation and approximate inference in deep generative models
Rezende Danilo Jimenez, Mohamed Shakir, Wierstra Daan · 2014
Earlier work this paper cites.
Early recurrent feedback facilitates visual object recognition under challenging conditions
Wyatte Dean, Jilk David J, O’Reilly Randall C · 2014
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Models of visual categorization
Serre Thomas · 2016
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A tutorial on the free-energy framework for modelling perception and learning
Bogacz Rafal · 2017
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Visual shape perception as Bayesian inference of 3D object-centered shape representations
Erdogan Goker, Jacobs Robert A · 2017
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beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Higgins I., Matthey Loïc, Pal A., Burgess C., Glorot Xavier, Botvinick M., Mohamed S., Lerchner Alexander · 2017
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Inference suboptimality in variational autoencoders
Cremer Chris, Li Xuechen, Duvenaud David · 2018
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Generalisation in humans and deep neural networks
Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Boutin Victor, Franciosini Angelo, Chavane Frederic, Ruffier Franck, Perrinet Laurent · 2019
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Recurrence is required to capture the representational dynamics of the human visual system
Kietzmann Tim C, Spoerer Courtney J, Sörensen Lynn K A, Cichy Radoslaw M, Hauk Olaf, Kriegeskorte Nikolaus · 2019
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Predictive Coding, Variational Autoencoders, and Biological Connections
Marino Joseph · 2019
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Deep Learning: The Good, the Bad, and the Ugly
Serre Thomas · 2019
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Cold Case: The Lost MNIST Digits
Yadav Chhavi, Bottou Léon · 2019
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Effect of top-down connections in Hierarchical Sparse Coding
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Geirhos R, Temme C R M, Rauber J, others · 2018
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Predictive Processing: A Canonical Cortical Computation
Keller Georg B, Mrsic-Flogel Thomas D · 2018
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Semi-amortized variational autoencoders
Kim Yoon, Wiseman Sam, Miller Andrew C, Sontag David, Rush Alexander M · 2018
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On the challenges of learning with inference networks on sparse, high-dimensional data
Krishnan Rahul, Liang Dawen, Hoffman Matthew · 2018
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Marino Joseph, Yue Yisong, Mandt Stephan · 2018
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Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition (vol 8, 1551, 2017)
Spoerer Courtney J, McClure Patrick, Kriegeskorte Nikolaus · 2018
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Recurrent computations for visual pattern completion
Tang Hanlin, Schrimpf Martin, Lotter William, Moerman Charlotte, Paredes Ana, Ortega Caro Josue, Hardesty Walter, Cox David, Kreiman Gabriel · 2018
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Boutin Victor, Franciosini Angelo, Ruffier Franck, Perrinet Laurent · 2020
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Brain-inspired predictive coding dynamics improve the robustness of deep neural networks
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Dynamical Variational Autoencoders: A Comprehensive Review. 2020
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Out-of-Distribution Generalization with Maximal Invariant Predictor
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Beyond the feedforward sweep: feedback computations in the visual cortex
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A neural network trained for prediction mimics diverse features of biological neurons and perception
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Unsupervised Learning Predicts Human Perception and Misperception of Specular Surface Reflectance
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