Computational mechanisms underlying cortical responses to the affordance properties of visual scenes

Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks

(2017) Radoslaw Martin Cichy et al.   NEUROIMAGE

Coding of navigational affordances in the human visual system

(2017) Michael F. Bonner et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Theory of cortical function

(2017) David J. Heeger   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Scene content is predominantly conveyed by high spatial frequencies in scene-selective visual cortex

(2017) Daniel Berman et al.   PLoS One

Evaluating the correspondence between face-, scene-, and object-selectivity and retinotopic organization within lateral occipitotemporal cortex

(2016) Edward H. Silson et al.   JOURNAL OF VISION

Neural pattern similarity reveals the inherent intersection of social categories

(2016) Ryan M Stolier et al.   NATURE NEUROSCIENCE

Using goal-driven deep learning models to understand sensory cortex

(2016) Daniel L K Yamins et al.   NATURE NEUROSCIENCE

Contour junctions underlie neural representations of scene categories in high-level human visual cortex

(2016) Heeyoung Choo et al.   NEUROIMAGE

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

(2016) Radoslaw Martin Cichy et al.   Scientific Reports

A Retinotopic Basis for the Division of High-Level Scene Processing between Lateral and Ventral Human Occipitotemporal Cortex

(2015) E. H. Silson et al.   JOURNAL OF NEUROSCIENCE

Outside Looking In: Landmark Generalization in the Human Navigational System

(2015) S. A. Marchette et al.   JOURNAL OF NEUROSCIENCE

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

(2015) U. Guclu et al.   JOURNAL OF NEUROSCIENCE

Understanding mid-level representations in visual processing

(2015) Jonathan W. Peirce   JOURNAL OF VISION

A model of surface depth and orientation predicts BOLD responses in human scene-selective cortex

(2015) Mark Lescroart et al.   JOURNAL OF VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing

(2015) Nikolaus Kriegeskorte   Annual Review of Vision Science

Thinking Outside the Box: Rectilinear Shapes Selectively Activate Scene-Selective Cortex

(2014) S. Nasr et al.   JOURNAL OF NEUROSCIENCE

Task context impacts visual object processing differentially across the cortex

(2014) A. Harel et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Unique semantic space in the brain of each beholder predicts perceived similarity

(2014) Ian Charest et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Performance-optimized hierarchical models predict neural responses in higher visual cortex

(2014) D. L. K. Yamins et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A Toolbox for Representational Similarity Analysis

(2014) Hamed Nili et al.   PLoS Computational Biology

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation

(2014) Seyed-Mahdi Khaligh-Razavi et al.   PLoS Computational Biology

A Network for Scene Processing in the Macaque Temporal Lobe

(2013) Simon Kornblith et al.   NEURON

Representational geometry: integrating cognition, computation, and the brain

(2013) Nikolaus Kriegeskorte et al.   TRENDS IN COGNITIVE SCIENCES

A Cardinal Orientation Bias in Scene-Selective Visual Cortex

(2012) S. Nasr et al.   JOURNAL OF NEUROSCIENCE

Object Ensemble Processing in Human Anterior-Medial Ventral Visual Cortex

(2012) J. S. Cant et al.   JOURNAL OF NEUROSCIENCE

From circuits to behavior: a bridge too far?

(2012) Matteo Carandini   NATURE NEUROSCIENCE

An algorithmic method for functionally defining regions of interest in the ventral visual pathway

(2012) J.B. Julian et al.   NEUROIMAGE

How Does the Brain Solve Visual Object Recognition?

(2012) James J. DiCarlo et al.   NEURON

Simple line drawings suffice for functional MRI decoding of natural scene categories

(2011) D. B. Walther et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The “Parahippocampal Place Area” Responds Preferentially to High Spatial Frequencies in Humans and Monkeys

(2011) Reza Rajimehr et al.   PLOS BIOLOGY

Robust smoothing of gridded data in one and higher dimensions with missing values

(2009) Damien Garcia   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Recognition of natural scenes from global properties: Seeing the forest without representing the trees

(2008) M GREENE et al.   COGNITIVE PSYCHOLOGY