相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior
Kohitij Kar et al.
NATURE NEUROSCIENCE (2019)
Deep convolutional models improve predictions of macaque V1 responses to natural images
Santiago A. Cadena et al.
PLOS COMPUTATIONAL BIOLOGY (2019)
Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks
Rishi Rajalingham et al.
JOURNAL OF NEUROSCIENCE (2018)
Navigating the Neural Space in Search of the Neural Code
Mehrdad Jazayeri et al.
NEURON (2017)
Using goal-driven deep learning models to understand sensory cortex
Daniel L. K. Yamins et al.
NATURE NEUROSCIENCE (2016)
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
Radoslaw Martin Cichy et al.
SCIENTIFIC REPORTS (2016)
Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance
Najib J. Majaj et al.
JOURNAL OF NEUROSCIENCE (2015)
Comparison of Object Recognition Behavior in Human and Monkey
Rishi Rajalingham et al.
JOURNAL OF NEUROSCIENCE (2015)
Heterogeneous Single-Unit Selectivity in an fMRI-Defined Body-Selective Patch
Ivo D. Popivanov et al.
JOURNAL OF NEUROSCIENCE (2014)
The face inversion effect in infants is driven by high, and not low, spatial frequencies
Karen R. Dobkins et al.
JOURNAL OF VISION (2014)
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Daniel L. K. Yamins et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)
Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
Seyed-Mahdi Khaligh-Razavi et al.
PLOS COMPUTATIONAL BIOLOGY (2014)
A functional and perceptual signature of the second visual area in primates
Jeremy Freeman et al.
NATURE NEUROSCIENCE (2013)
A Sparse Object Coding Scheme in Area V4
Eric T. Carlson et al.
CURRENT BIOLOGY (2011)
A cortical region consisting entirely of face-selective cells
DY Tsao et al.
SCIENCE (2006)
Population coding of shape in area V4
A Pasupathy et al.
NATURE NEUROSCIENCE (2002)
Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons
JR Cavanaugh et al.
JOURNAL OF NEUROPHYSIOLOGY (2002)
Three-dimensional orientation tuning in macaque area V4
DA Hinkle et al.
NATURE NEUROSCIENCE (2002)
Shape representation in area V4: Position-specific tuning for boundary conformation
A Pasupathy et al.
JOURNAL OF NEUROPHYSIOLOGY (2001)