Matthias Bethge

Q: What Schools Are Affiliated With Matthias Bethge

Matthias Bethge is affiliated with the following schools: Baylor College of Medicine, University of Tübingen, University of Bremen

Matthias Bethge's AcademicInfluence.com Rankings

Matthias Bethge

Biology

#6939

World Rank

#9759

Historical Rank

Neuroscience

#857

World Rank

#893

Historical Rank

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Biology

Matthias Bethge's Degrees

PhD Neuroscience University of Tübingen

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Matthias Bethge's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Image Style Transfer Using Convolutional Neural Networks (2016) (3864)
A Neural Algorithm of Artistic Style (2015) (2217)
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness (2018) (1736)
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning (2018) (1405)
Texture Synthesis Using Convolutional Neural Networks (2015) (1084)
A note on the evaluation of generative models (2015) (943)
Shortcut learning in deep neural networks (2020) (881)
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models (2017) (878)
The functional diversity of retinal ganglion cells in the mouse (2015) (671)
Decorrelated Neuronal Firing in Cortical Microcircuits (2010) (626)
Using DeepLabCut for 3D markerless pose estimation across species and behaviors (2018) (547)
Markerless tracking of user-defined features with deep learning (2018) (474)
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet (2019) (435)
Generalisation in humans and deep neural networks (2018) (415)
Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq (2015) (406)
Foolbox: A Python toolbox to benchmark the robustness of machine learning models (2017) (382)
Controlling Perceptual Factors in Neural Style Transfer (2016) (370)
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet (2014) (356)
State Dependence of Noise Correlations in Macaque Primary Visual Cortex (2013) (317)
Towards the first adversarially robust neural network model on MNIST (2018) (284)
Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models (2017) (277)
The Effect of Noise Correlations in Populations of Diversely Tuned Neurons (2011) (243)
DeepGaze II: Reading fixations from deep features trained on object recognition (2016) (239)
Understanding Low- and High-Level Contributions to Fixation Prediction (2017) (228)
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming (2019) (224)
Deep convolutional models improve predictions of macaque V1 responses to natural images (2017) (212)
Comparing deep neural networks against humans: object recognition when the signal gets weaker (2017) (210)
Generating Spike Trains with Specified Correlation Coefficients (2009) (206)
Generative Image Modeling Using Spatial LSTMs (2015) (191)
Improving robustness against common corruptions by covariate shift adaptation (2020) (185)
Inhibition decorrelates visual feature representations in the inner retina (2017) (180)
Population code in mouse V1 facilitates read-out of natural scenes through increased sparseness (2014) (164)
Dynamics of population rate codes in ensembles of neocortical neurons. (2004) (160)
Inferring decoding strategies from choice probabilities in the presence of correlated variability (2013) (160)
Benchmarking Spike Rate Inference in Population Calcium Imaging (2016) (159)
Results of the GREAT08 Challenge?: an image analysis competition for cosmological lensing: Results o (2009) (152)
Excessive Invariance Causes Adversarial Vulnerability (2018) (138)
Information-theoretic model comparison unifies saliency metrics (2015) (137)
Spikes in Mammalian Bipolar Cells Support Temporal Layering of the Inner Retina (2013) (137)
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions (2020) (135)
Preserving Color in Neural Artistic Style Transfer (2016) (121)
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data (2018) (121)
Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks (2015) (120)
Optimal Short-Term Population Coding: When Fisher Information Fails (2002) (118)
Engineering a Less Artificial Intelligence (2019) (114)
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX (2020) (110)
Natter: A Python Natural Image Statistics Toolbox (2014) (109)
Common input explains higher-order correlations and entropy in a simple model of neural population activity. (2011) (97)
A Fast and Simple Population Code for Orientation in Primate V1 (2012) (94)
Contrastive Learning Inverts the Data Generating Process (2021) (88)
Factorial coding of natural images: how effective are linear models in removing higher-order dependencies? (2006) (83)
Neural system identification for large populations separating "what" and "where" (2017) (80)
Pretraining boosts out-of-domain robustness for pose estimation (2019) (78)
Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents (2013) (77)
On the Structure of Neuronal Population Activity under Fluctuations in Attentional State (2015) (77)
Natural Image Coding in V1: How Much Use Is Orientation Selectivity? (2008) (75)
Accurate, reliable and fast robustness evaluation (2019) (73)
Partial success in closing the gap between human and machine vision (2021) (70)
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics (2017) (67)
How Sensitive Is the Human Visual System to the Local Statistics of Natural Images? (2013) (66)
Texture and art with deep neural networks (2017) (61)
One-Shot Instance Segmentation (2018) (61)
Reassessing optimal neural population codes with neurometric functions (2011) (60)
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding (2020) (60)
Bayesian Inference for Generalized Linear Models for Spiking Neurons (2010) (59)
Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook (2010) (56)
Testing models of peripheral encoding using metamerism in an oddity paradigm. (2016) (54)
Adversarial Vision Challenge (2018) (54)
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise (2020) (52)
Reconstructing Stimuli from the Spike Times of Leaky Integrate and Fire Neurons (2010) (50)
Texture Synthesis Using Shallow Convolutional Networks with Random Filters (2016) (50)
Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification (2012) (49)
Attentional fluctuations induce shared variability in macaque primary visual cortex (2017) (49)
A parametric texture model based on deep convolutional features closely matches texture appearance for humans. (2017) (46)
Five points to check when comparing visual perception in humans and machines (2020) (46)
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images (2007) (45)
A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses (2012) (44)
Mixtures of Conditional Gaussian Scale Mixtures Applied to Multiscale Image Representations (2011) (42)
In All Likelihood, Deep Belief Is Not Enough (2010) (40)
Image content is more important than Bouma’s Law for scene metamers (2018) (38)
Comment on "Biologically inspired protection of deep networks from adversarial attacks" (2017) (37)
Bayesian Inference for Sparse Generalized Linear Models (2007) (37)
Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing (2016) (37)
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior (2007) (37)
Learning From Brains How to Regularize Machines (2019) (36)
Second order phase transition in neural rate coding: binary encoding is optimal for rapid signal transmission. (2003) (36)
One-Shot Segmentation in Clutter (2018) (35)
How well do deep neural networks trained on object recognition characterize the mouse visual system (2019) (34)
Optimal neural rate coding leads to bimodal firing rate distributions. (2003) (33)
Towards causal generative scene models via competition of experts (2020) (32)
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction (2008) (32)
On the surprising similarities between supervised and self-supervised models (2020) (32)
DeepGaze II: Predicting fixations from deep features over time and tasks (2017) (31)
A rotation-equivariant convolutional neural network model of primary visual cortex (2018) (30)
Signatures of criticality arise from random subsampling in simple population models (2017) (29)
What does it take to generate natural textures? (2017) (28)
The Notorious Difficulty of Comparing Human and Machine Perception (2020) (28)
Characterization of the p-generalized normal distribution (2009) (28)
Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images (2012) (28)
Learning divisive normalization in primary visual cortex (2019) (27)
Robust Perception through Analysis by Synthesis (2018) (26)
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions (2009) (24)
Gaussian process methods for estimating cortical maps (2011) (23)
Slowness and Sparseness Have Diverging Effects on Complex Cell Learning (2014) (23)
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain (2021) (22)
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences (2020) (22)
Unsupervised learning of a steerable basis for invariant image representations (2007) (22)
Bayesian Population Decoding of Spiking Neurons (2009) (22)
Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data (2011) (21)
Diverse feature visualizations reveal invariances in early layers of deep neural networks (2018) (21)
How close are we to understanding image-based saliency? (2014) (21)
Spike-frequency adaptation: Phenomenological model and experimental tests (2001) (19)
The temporal structure of the inner retina at a single glance (2019) (19)
Signatures of criticality arise in simple neural population models with correlations (2016) (19)
Lp-Nested Symmetric Distributions (2010) (18)
Lower bounds on the redundancy of natural images (2010) (18)
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling (2021) (18)
One-shot Texture Segmentation (2018) (16)
State-of-the-Art in Human Scanpath Prediction (2021) (16)
Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. (2018) (15)
Receptive Fields without Spike-Triggering (2007) (15)
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations (2019) (14)
Synthesising Dynamic Textures using Convolutional Neural Networks (2017) (13)
Community-based benchmarking improves spike inference from two-photon calcium imaging data (2017) (13)
Fast Differentiable Clipping-Aware Normalization and Rescaling (2020) (13)
Supervised learning sets benchmark for robust spike detection from calcium imaging signals (2015) (13)
DeepGaze III: Modeling free-viewing human scanpaths with deep learning (2022) (13)
Benchmarking Unsupervised Object Representations for Video Sequences (2020) (12)
Guiding human gaze with convolutional neural networks (2017) (12)
Saliency Benchmarking: Separating Models, Maps and Metrics (2017) (12)
Evaluating neuronal codes for inference using Fisher information (2010) (11)
Neurometric function analysis of population codes (2009) (11)
Methods and measurements to compare men against machines (2017) (11)
DeepGaze III: Using Deep Learning to Probe Interactions Between Scene Content and Scanpath History in Fixation Selection (2019) (10)
Balanced excitation and inhibition decorrelates visual feature representation in the mammalian inner retina (2016) (10)
Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. (2018) (10)
Task-driven hierarchical deep neural network models of the proprioceptive pathway (2020) (10)
Adapting ImageNet-scale models to complex distribution shifts with self-learning (2021) (9)
Modeling Natural Image Statistics (2015) (9)
The independent components of natural images are perceptually dependent (2007) (9)
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization (2021) (8)
Training sparse natural image models with a fast Gibbs sampler of an extended state space (2012) (8)
Measuring the Importance of Temporal Features in Video Saliency (2020) (8)
Robust deep learning object recognition models rely on low frequency information in natural images (2022) (8)
Unsupervised Object Learning via Common Fate (2021) (8)
A parametric texture model based on deep convolutional features closely matches texture appearance for humans (2017) (8)
If your data distribution shifts, use self-learning (2021) (7)
Standardizing and benchmarking data analysis for calcium imaging (2017) (7)
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina (2020) (7)
Closing the Generalization Gap in One-Shot Object Detection (2020) (7)
On the structure of population activity under fluctuations in attentional state (2015) (7)
Comparing the ability of humans and DNNs to recognise closed contours in cluttered images (2018) (7)
Inferring decoding strategy from choice probabilities in the presence of noise correlations (2012) (7)
How Sensitive Is the Human Visual System to the Local Statistics of Natural Images (2012) (6)
What Is the Limit of Redundancy Reduction with Divisive Normalization? (2013) (6)
Optimal neural rate coding leads to bimodal firing rate distributions (2003) (6)
Synaptic unreliability facilitates information transmission in balanced cortical populations. (2015) (6)
Removing covariate shift improves robustness against common corruptions (2020) (6)
Data modeling with the elliptical gamma distribution (2015) (6)
Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations (2020) (6)
Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains (2018) (6)
Hierachical Models of Natural Images (2009) (5)
Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study (2018) (5)
Rotation-invariant clustering of neuronal responses in primary visual cortex (2020) (5)
Inference and mixture modeling with the Elliptical Gamma Distribution (2014) (5)
Supervised learning sets benchmark for robust spike rate inference from calcium imaging signals (2015) (5)
Bayesian estimation of orientation preference maps (2009) (5)
ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data (2020) (4)
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? (2021) (4)
Estimating receptive fields without spike-triggering (2007) (4)
Digital twin reveals combinatorial code of non-linear computations in the mouse primary visual cortex (2022) (4)
Brief pauses as signals for degressing synapses (1999) (4)
Codes and Goals of Neuronal Representations (2003) (4)
A joint maximum-entropy model for binary neural population patterns and continuous signals (2009) (4)
Extending DeepGaze II: Scanpath prediction from deep features (2018) (4)
Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks (2022) (4)
The effect of pairwise neural correlations on global population statistics (2009) (4)
Population coding with unreliable spikes (2002) (3)
Material for Decorrelated Neuronal Firing in Cortical Microcircuits (2010) (3)
Towards matching peripheral appearance for arbitrary natural images using deep features (2017) (3)
Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution (2002) (3)
How Much Can Orientation Selectivity and Contrast Gain Control Reduce the Redundancies in Natural Images (2008) (3)
Spectral Stacking: Unbiased Shear Estimation for Weak Gravitational Lensing (2009) (3)
There is no evidence that meaning maps capture semantic information relevant to gaze guidance: Reply to Henderson, Hayes, Peacock, and Rehrig (2021) (2021) (3)
The correlation structure induced by fluctuations in attention (2012) (3)
Correlations and signatures of criticality in neural population models (2015) (3)
EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy. (2020) (3)
Towards rigorous study of artistic style: a new psychophysical paradigm (2014) (3)
New Estimate for the Redundancy of Natural Images (2010) (2)
Redundancy Reduction in Natural Images: Quantifying the Effect of Orientation Selectivity and Contrast Gain Control (2008) (2)
Detecting distortions of peripherally presented letter stimuli under crowded conditions (2017) (2)
Disentanglement and Generalization Under Correlation Shifts (2021) (2)
DeepGaze II: A big step towards explaining all information in image-based saliency (2016) (2)
Statistical inference with the Elliptical Gamma Distribution (2014) (2)
Faster processing of moving compared to flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion (2015) (2)
Of Human Observers and Deep Neural Networks: A Detailed Psychophysical Comparison (2017) (2)
A chromatic feature detector in the retina signals visual context changes (2022) (2)
PLOS Computational Biology 2017 Reviewer and Editorial Board Thank You (2018) (1)
Behavioural evidence for the existence of a spatiotopic free-viewing saliency map (2019) (1)
Studying the effects of noise correlations on population coding using a sampling method (2007) (1)
Efficient Population Coding (2014) (1)
Implications of correlated neuronal noise in decision making circuits for physiology and behavior (1)
Large scale blind source separation (2016) (1)
PLOS Computational Biology 2016 Reviewer and Editorial Board Thank You (2017) (1)
Towards goal-driven deep neural network models to elucidate human arm proprioception (2018) (1)
ImageNet-D: A new challenging robustness dataset inspired by domain adaptation (2022) (1)
A Generative Model of Natural Texture Surrogates (2015) (1)
Introduction to NIPS 2017 Competition Track (2018) (1)
Supplementary Material: Controlling Perceptual Factors in Neural Style Transfer (2016) (1)
Natural Images are More Informative for Interpreting CNN Activations than State-of-the-Art Synthetic Feature Visualizations (2020) (1)
Unintended cue learning: Lessons for deep learning from experimental psychology (2020) (1)
An analytically tractable model of neural population activity in the presence of common input explains higher-order correlations and entropy (2010) (1)
Efficient coding of natural scenes improves neural system identification (2022) (1)
Do We Know What the Early Visual System Computes (2007) (1)
Generalized Invariant Risk Minimization: relating adaptation and invariant representation learning (2020) (1)
Contrasting action and posture coding with hierarchical deep neural network models of proprioception (2022) (1)
Supplementary details and explanations for paper “ A model of neural population activity in the presence of common input explains higher-order correlations and entropy ” (2014) (0)
Scaling of information in large sensory populations (2018) (0)
Perceiving Neural Networks (2015) (0)
Using the DeepGaze III model to decompose spatial and dynamic contributions to fixation placement over time (2022) (0)
Sensory coding of natural images: bandpass filtering, orientation selectivity and contrast gain control (2008) (0)
Scaling of information in large sensory neuronal populations (2014) (0)
Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps (2021) (0)
Bayesian Inference of Neural Population Codes with a Sparsity Prior (2007) (0)
Rotation-invariant clustering of functional cell types in primary visual cortex (2020) (0)
Boosting olfactory cocktail-party performance by semi-supervised learning in mice (2017) (0)
What is the goal of early visual processing (2006) (0)
Understanding biological and artificial neural networks (2015) (0)
Linking V1 receptive field properties to optimal coding principles (2007) (0)
Perceptual relevance of neurally-inspired natural image models evaluated via contour discrimination (2012) (0)
What is the goal of neural image processing in the retina (2009) (0)
Surprising Speed Jitter Invariance Of Pattern Matching In Random Dot Stereopsis (2012) (0)
Synchronous inhibition as a mechanism for unbiased selective gain control (2001) (0)
What the Mouse Eye Tells the Mouse Brain: A Semi-Supervised Clustering Approach for Fingerprinting the Retinal Ganglion Cell Types of the Mouse Retina (2014) (0)
Sensitivity to local higher-order correlations in natural images (2011) (0)
Natural image statistics neural representation learning (2014) (0)
A goal-driven deep learning approach for V1 system identification (2016) (0)
Hole-in-the-wall: Perception of 3D shape and affordances from static images in humans and machines (2019) (0)
Deep Neural Networks: A New Tool for Understanding the Brain (2016) (0)
The unsolved mystery of neural information processing: taming the curse of dimensionality (2012) (0)
Lack of Robustness in Artificial Neural Networks (2019) (0)
Hoch much can bandpass filtering, orientation selectivity, and divisive normalization contribute to the reduction of redundancy in natural images? (2008) (0)
Mixed latent variable model of attention in V1 (2017) (0)
Data from "Testing models of peripheral encoding using metamerism in an oddity paradigm" (2015) (0)
I NCREASING THE ROBUSTNESS OF DNN S AGAINST IMAGE CORRUPTIONS BY PLAYING THE G AME OF N OISE (2020) (0)
What sorts of cognitive or biological (architectural) inductive biases will be crucial for developing effective artificial intelligence (2019) (0)
Predicting Fixations From Deep and Low-Level Features (2017) (0)
DeepGaze II: Explaining nearly all information in image-based saliency using features trained on object detection (2016) (0)
Estimating Population Receptive Fields in Space and Time (2007) (0)
Towards the neural basis of the flash-lag effect (2008) (0)
D etecting distortions of peripherally-presented letter (2016) (0)
NeuroResource Benchmarking Spike Rate Inference in Population Calcium Imaging Highlights (2016) (0)
Normative models and identification of nonlinear neural representations (2013) (0)
Information Coding in the Variance of Neural Activity (2013) (0)
Spatio-Temporal Correlations of Natural Images during Fixational Eye Movements (2008) (0)
Sensory Coding & Natural Environment 2012 (2012) (0)
Situation and Threat Comprehensionand Conduit of Action with particular reference to aFuture Technology Data Fusion System (2017) (0)
Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs (2019) (0)
Texture Modelling Using Convolutional Neural Networks (2016) (0)
Analyzing task-specific patterns in human scanpaths (2020) (0)
Sensitivity to the local shape information of natural images (2012) (0)
Perceptual sensitivity to statistical regularities in natural images (2011) (0)
CHALLENGE HANDBOOK (2020) (0)
What information does the eye send to the brain? Recording the entire visual output at a single retinal location (2012) (0)
Multivariable Causal Discovery with General Nonlinear Relationships (2022) (0)
The temporal structure of the inner retina at a single glance (2020) (0)
Invariant Neural Ordinary Differential Equations (2023) (0)
Understanding Complex Neural Network Computations (2016) (0)
Towards matching the peripheral visual appearance of arbitrary scenes using deep convolutional neural networks (2016) (0)
Mixtures of conditional Gaussian scale mixtures: the best model for natural images (2012) (0)
Neural Adaptation as Bayesian Inference (2013) (0)
Neural Painters: A learned differentiable constraint for generating brushstroke paintings (2019) (0)
Inferring characteristics of stimulus encoding mechanisms using rippled noise stimuli (2010) (0)
A rôle for the ongoing activity: Unbiased selective gain control with synchronous inhibition (2001) (0)
Modeling populations of spiking neurons with the Dichotomized Gaussian distribution (2008) (0)
Texture synthesis using random shallow neural networks (2016) (0)
Relationship between decoding strategy, choice probabilities and neural correlations in perceptual decision-making task (2011) (0)
A generative model of natural images as patchworks of textures (2013) (0)
Following the visual signal across the entire mouse retina: From cone calcium to ganglion cell spikes (2015) (0)
OrientationFine and Coarse Discrimination of From Another Angle: Differences in Cortical Coding (2015) (0)
Comparing Search Strategies of Humans and Machines in Clutter (2019) (0)
Recording the entire visual representation along the vertical pathway in the retina (2013) (0)
Going to temporal superresolution for AP detection in two photon calcium imaging in vivo by using an explicit datamodel (2008) (0)
Metamers of the ventral stream revisited. (2015) (0)
Selecting Maximally-Predictive Deep Features to Explain What Drives Fixations in Free-Viewing (2019) (0)
Toolbox for inference in generalized linear models of spiking neurons (2010) (0)
When will signatures of criticality provide critical insights about neural computations (2017) (0)
Attentional fluctuations induce shared variability in macaque primary visual cortex (2018) (0)
Identifying temporal population codes in the retina using canonical correlation analysis (2007) (0)
How Much More Does V1 Know About the Statistics of Natural Images Than the Retina (2008) (0)
New enhancements to the DeepGaze models for a better understanding of human scanpaths (2021) (0)
Estimating cortical maps with Gaussian process models (2010) (0)
Detecting distortions of peripherally presented letter stimuli under crowded conditions (2016) (0)
DeepGaze vs SceneWalk: what can DNNs and biological scan path models teach each other? (2022) (0)
A PPROXIMATING CNN S WITH B AG - OF - LOCAL F EATURES MODELS WORKS SURPRISINGLY WELL ON I MAGE N ET (2019) (0)
Neurometric function analysis of short-term population codes (2009) (0)
OptimalShort-TermPopulationCoding : WhenFisher InformationFails (2002) (0)
Slow Subspace Analysis: a New Algorithm for Invariance Learning (2011) (0)
Markerless tracking of user-defined anatomical features with deep learning (2018) (0)
Natural image statistics, 85% explained (2012) (0)
Flexible Models for Population Spike Trains (2008) (0)
Image library for unsupervised learning of depth from stereo (2008) (0)
The bipolar cell terminal as a selective spatio-temporal filter (2013) (0)
Natural images are more informative for interpreting CNN activations than synthetic feature visualizations (2020) (0)
A multiscale model of natural images (2011) (0)
Neuronal decision-making with realistic spiking models (2009) (0)
Encoding of natural scene statistics in the primary visual cortex of the mouse (2013) (0)
The effect of common input on higher-order correlations and entropy in neural populations (2011) (0)
Information theoretic analysis of neural populations (2014) (0)
Optimal Population Coding, Revisited (2011) (0)
A Broad Dataset is All You Need for One-Shot Object Detection (2020) (0)
What the mouse eye tells the mouse brain: Fingerprinting the retinal ganglion cell types of the mouse retina (2015) (0)
Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks (2016) (0)
Table of Contents. (2017) (0)
Bayesian Receptive Fields and Neural Couplings with Sparsity Prior and Error Bars (2007) (0)
Trace your sources in large-scale data: one ring to find them all (2018) (0)
Recording the entire visual representation along the vertical pathway in the mammalian retina (2013) (0)
Object-context inconsistencies affect gaze behavior differently than predicted by contextualized meaning maps (2021) (0)
The bittersweet lesson: data-rich models narrow the behavioural gap to human vision (2022) (0)
Sensory input statistics and network mechanisms in primate primary visual cortex (2009) (0)
OOSTING SALIENCY PREDICTION WITH FEATURE MAPS TRAINED ON I MAGE N ET (2018) (0)
What is the Goal of Complex Cell Coding in V1 (2010) (0)
Consistent Saliency Benchmarking: How One Model Can Win on All Metrics (2018) (0)
How much signal is there in the noise (2014) (0)
Using Deep Features to Predict Where People Look (2016) (0)
A new class of distributions for natural images generalizing independent subspace analysis (2009) (0)
How pairwise correlations aect the redundancy in large populations of neurons (2008) (0)
Likelihood Estimation in Deep Belief Networks (2010) (0)
Bayesian Neural System identification: error bars, receptive fields and neural couplings (2006) (0)
Pairwise Correlations and Multineuronal Firing Patterns in the Primary Visual Cortex of the Awake, Behaving Macaque (2008) (0)
Unexpected functional diversity among mouse retinal ganglion cell types (2015) (0)
Let's compete: Benchmarking models in neuroscience (2015) (0)
Unsupervised learning of disparity maps from stereo images (2009) (0)

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What Schools Are Affiliated With Matthias Bethge?

Matthias Bethge is affiliated with the following schools: