Deep convolutional models improve predictions of macaque V1 responses to natural images

Complex Pattern Selectivity in Macaque Primary Visual Cortex Revealed by Large-Scale Two-Photon Imaging

(2018) Shiming Tang et al.   CURRENT BIOLOGY

Attentional fluctuations induce shared variability in macaque primary visual cortex

(2018) George H. Denfield et al.   Nature Communications

Model-based spike sorting with a mixture of drifting t -distributions

(2017) Kevin Q. Shan et al.   JOURNAL OF NEUROSCIENCE METHODS

Using goal-driven deep learning models to understand sensory cortex

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

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

Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes

(2016) Ján Antolík et al.   PLoS Computational Biology

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A Convolutional Subunit Model for Neuronal Responses in Macaque V1

(2015) B. Vintch 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

Beyond the classical receptive field: The effect of contextual stimuli

(2015) Lothar Spillmann et al.   JOURNAL OF VISION

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

(2015) Nikolaus Kriegeskorte   Annual Review of Vision Science

State Dependence of Noise Correlations in Macaque Primary Visual Cortex

(2014) Alexander S. Ecker et al.   NEURON

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

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

(2014) Charles F. Cadieu 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

Natural versus Synthetic Stimuli for Estimating Receptive Field Models: A Comparison of Predictive Robustness

(2012) V. Talebi et al.   JOURNAL OF NEUROSCIENCE

The NumPy Array: A Structure for Efficient Numerical Computation

(2011) Stéfan van der Walt et al.   COMPUTING IN SCIENCE & ENGINEERING

Normalization as a canonical neural computation

(2011) Matteo Carandini et al.   NATURE REVIEWS NEUROSCIENCE

Neural Representation of Natural Images in Visual Area V2

(2010) B. D. B. Willmore et al.   JOURNAL OF NEUROSCIENCE

Kalman filter mixture model for spike sorting of non-stationary data

(2010) Ana Calabrese et al.   JOURNAL OF NEUROSCIENCE METHODS

Decorrelated Neuronal Firing in Cortical Microcircuits

(2010) A. S. Ecker et al.   SCIENCE

Natural Image Coding in V1: How Much Use Is Orientation Selectivity?

(2009) Jan Eichhorn et al.   PLoS Computational Biology

The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform

(2008) Ben Willmore et al.   NEURAL COMPUTATION