Bruno A. Olshausen
#124,891
Most Influential Person Now
Bruno A. Olshausen's AcademicInfluence.com Rankings
Bruno A. Olshausencomputer-science Degrees
Computer Science
#5192
World Rank
#5486
Historical Rank
Computational Neuroscience
#6
World Rank
#7
Historical Rank
Machine Learning
#1283
World Rank
#1303
Historical Rank
Database
#2340
World Rank
#2455
Historical Rank
Bruno A. Olshausenbiology Degrees
Biology
#7831
World Rank
#10809
Historical Rank
Neuroscience
#1046
World Rank
#1088
Historical Rank
Download Badge
Computer Science Biology
Bruno A. Olshausen's Degrees
- PhD Physics University of California, Berkeley
Why Is Bruno A. Olshausen Influential?
(Suggest an Edit or Addition)Bruno A. Olshausen'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
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images (1996) (5883)
- Sparse coding with an overcomplete basis set: A strategy employed by V1? (1997) (3710)
- Natural image statistics and neural representation. (2001) (2245)
- Sparse coding of sensory inputs (2004) (1353)
- Natural image statistics and efficient coding. (1996) (657)
- Do We Know What the Early Visual System Does? (2005) (612)
- Book Review (2003) (500)
- Shape perception reduces activity in human primary visual cortex (2002) (483)
- How Close Are We to Understanding V1? (2005) (449)
- Sparse Coding via Thresholding and Local Competition in Neural Circuits (2008) (411)
- Probabilistic Models of the Brain: Perception and Neural Function (2002) (399)
- PROBABILISTIC FRAMEWORK FOR THE ADAPTATION AND COMPARISON OF IMAGE CODES (1999) (351)
- Tent: Fully Test-Time Adaptation by Entropy Minimization (2021) (287)
- Timecourse of neural signatures of object recognition. (2003) (249)
- Learning Sparse Codes for Hyperspectral Imagery (2011) (194)
- Discovering Hidden Factors of Variation in Deep Networks (2014) (186)
- Principles of Image Representation in Visual Cortex (2003) (120)
- Group Sparse Coding with a Laplacian Scale Mixture Prior (2010) (118)
- Learning Intermediate-Level Representations of Form and Motion from Natural Movies (2012) (114)
- Learning Sparse Codes with a Mixture-of-Gaussians Prior (1999) (114)
- High-Dimensional Computing as a Nanoscalable Paradigm (2017) (108)
- Data Sharing for Computational Neuroscience (2008) (107)
- Vision and the Coding of Natural Images (2000) (105)
- Sparse Codes and Spikes (2001) (104)
- Processing shape, motion and three-dimensional shape-from-motion in the human cortex. (2010) (97)
- Learning Horizontal Connections in a Sparse Coding Model of Natural Images (2007) (94)
- Learning sparse, overcomplete representations of time-varying natural images (2003) (85)
- Learning Sparse Multiscale Image Representations (2002) (83)
- Learning Transformational Invariants from Natural Movies (2008) (82)
- Superposition of many models into one (2019) (80)
- Processing Shape, Motion and Three-dimensional Shape-from-motion in the Human Cortex (2003) (79)
- Learning Sparse Image Codes using a Wavelet Pyramid Architecture (2000) (76)
- The recognition of partially visible natural objects in the presence and absence of their occluders (2005) (71)
- What is the other 85% of V1 doing? (2004) (69)
- The earliest EEG signatures of object recognition in a cued-target task are postsensory. (2005) (68)
- Convergent evidence for the visual analysis of optic flow through anisotropic attenuation of high spatial frequencies. (2004) (68)
- Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework (1998) (67)
- A multiscale dynamic routing circuit for forming size- and position-invariant object representations (1995) (66)
- Learning linear, sparse, factorial codes (1996) (62)
- Modeling Higher-Order Correlations within Cortical Microcolumns (2014) (61)
- Scene analysis in the natural environment (2014) (59)
- Pattern recognition, attention, and information bottlenecks in the primate visual system (1991) (58)
- Bilinear models of natural images (2007) (56)
- Sparse Coding Of Time-Varying Natural Images (2010) (53)
- Directed visual attention and the dynamic control of information flow (2005) (50)
- Highly overcomplete sparse coding (2013) (49)
- What Is the Other 85 Percent of V1 Doing (2006) (48)
- Learning real and complex overcomplete representations from the statistics of natural images (2009) (46)
- Learning Sparse Representations of Depth (2010) (45)
- Dynamic routing strategies in sensory, motor, and cognitive processing (1994) (44)
- Locally Competitive Algorithms for Sparse Approximation (2007) (39)
- Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware (2021) (37)
- An Unsupervised Algorithm For Learning Lie Group Transformations (2010) (36)
- Sparse Coding of Natural Images Produces Localized, Oriented, Bandpass Receptive Fields (1995) (36)
- Natural Image Statistics and Eecient Coding (1996) (32)
- The Sparse Manifold Transform (2018) (32)
- Fully Test-time Adaptation by Entropy Minimization (2020) (32)
- Hierarchical Isosurface Segmentation Based on Discrete Curvature (2003) (30)
- Wavelet-Like Receptive Fields Emerge From a Network That Learns Sparse Codes for Natural Images (1996) (30)
- Probabilistic Models of the Brain (2002) (29)
- Learning transport operators for image manifolds (2009) (29)
- Emergence of foveal image sampling from learning to attend in visual scenes (2016) (29)
- Perception as an Inference Problem (2013) (27)
- 20 Years of Learning About Vision: Questions Answered, Questions Unanswered, and Questions Not Yet Asked (2013) (26)
- DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies (2016) (26)
- A new window on sound (2002) (26)
- Differential Effects of Apamin- and Charybdotoxin-Sensitive K+ Conductances on Spontaneous Discharge Patterns of Developing Retinal Ganglion Cells (1999) (24)
- Selective visual attention (1998) (23)
- Spontaneous Activity of Morphologically Identified Ganglion Cells in the Developing Ferret Retina (2003) (23)
- Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures (2020) (23)
- A graphical anatomical database of neural connectivity. (2001) (23)
- High-acuity vision from retinal image motion (2020) (23)
- What is the other 85 % of V 1 doing ? (2004) (22)
- Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution (2022) (22)
- A Nonlinear Hebbian Network that Learns to Detect Disparity in Random-Dot Stereograms (1996) (20)
- Computing on Functions Using Randomized Vector Representations (2021) (20)
- Selectivity and robustness of sparse coding networks (2020) (20)
- Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods (2020) (19)
- Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing (2021) (18)
- Wavelets, blur, and the sources of variability in the amplitude spectra of natural scenes (1996) (16)
- Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage (2018) (16)
- Error-Resilient Analog Image Storage and Compression with Analog-Valued RRAM Arrays: An Adaptive Joint Source-Channel Coding Approach (2018) (15)
- Building a better probabilistic model of images by factorization (2011) (14)
- Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors (2021) (13)
- Neural routing circuits for forming invariant representations of visual objects (1994) (13)
- Brain Mapping Using Topology Graphs Obtained by Surface Segmentation (2006) (12)
- Applied mathematics: The statistics of style (2010) (12)
- Higher Order Correlations within Cortical Layers Dominate Functional Connectivity in Microcolumns (2012) (12)
- Lie Group Transformation Models for Predictive Video Coding (2011) (11)
- Learning Transformational Invariants from Time-Varying Natural Images (2008) (11)
- Computing on Functions Using Randomized Vector Representations (in brief) (2022) (11)
- Sparse coding for spectral signatures in hyperspectral images (2010) (10)
- Sparse coding models of natural images: algorithms for efficient inference and learning of higher-order structure (2009) (10)
- A neural model of high-acuity vision in the presence of fixational eye movements (2016) (9)
- RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior (2020) (8)
- A Model of the Spatial-Frequency Organization in Primate Striate Cortex (1995) (7)
- Capacity optimization of emerging memory systems: A shannon-inspired approach to device characterization (2014) (7)
- Statistical methods for image and signal processing (2004) (7)
- Neurally plausible sparse coding via thresholding and local competition (2007) (7)
- Neuromorphic computation: Sparse codes from memristor grids. (2017) (7)
- Disentangling images with Lie group transformations and sparse coding (2020) (6)
- Catalyzing next-generation Artificial Intelligence through NeuroAI (2023) (6)
- Word Embedding Visualization Via Dictionary Learning (2019) (6)
- Resonator networks for factoring distributed representations of data structures (2020) (6)
- Dynamic Scale Inference by Entropy Minimization (2019) (6)
- Sensory coding in the natural environment (2003) (6)
- Integer Factorization with Compositional Distributed Representations (2022) (6)
- The Spatiotemporal Power Spectrum of Natural Human Vision (2020) (5)
- Learning efficient linear codes for natural images: the roles of sparseness, overcompleteness, and statistical independence (1996) (5)
- Learning invariant and variant components of time-varying natural images (2010) (5)
- Testing our conceptual understanding of V1 function (2013) (5)
- Vector Symbolic Architectures as a Computing Framework for Emerging Hardware (2022) (5)
- The statistics of style (4)
- Routing networks in visual cortex (1998) (4)
- A survey of visual preprocessing and shape representation techniques (1988) (4)
- Learning sparse wavelet codes for natural images (2000) (4)
- Minimalistic Unsupervised Learning with the Sparse Manifold Transform (2022) (4)
- Higher-order scene statistics of breast images (2009) (4)
- Neuromorphic Visual Scene Understanding with Resonator Networks (2022) (4)
- Efficient coding of natural images in space and time (2000) (4)
- Resonator Circuits for factoring high-dimensional vectors (2019) (3)
- Convolutional vs. Recurrent Neural Networks for Audio Source Separation (2018) (3)
- Exploring the statistical structure of large-scale neural recordings using a sparse coding model (2010) (3)
- High-fidelity eye, head, body, and world tracking with a wearable device. (2022) (3)
- Human-centric computing — The case for a Hyper-Dimensional approach (2017) (3)
- Efficient Optimization with Higher-Order Ising Machines (2022) (3)
- Author Correction: Analog Coding in Emerging Memory Systems (2020) (2)
- Resonator Networks outperform optimization methods at solving high-dimensional vector factorization (2019) (2)
- Neurally plausible sparse coding via competitive algorithms (2007) (2)
- Minds must unite (2005) (2)
- Sparse Coding via Thresholding and Local Competition (2006) (2)
- Auditory Separation of a Conversation from Background via Attentional Gating (2019) (2)
- PIM: Video Coding using Perceptual Importance Maps (2022) (2)
- Analog Coding in Emerging Memory Systems (2020) (2)
- Does the brain de-jitter retinal images? (2010) (2)
- Predicting responses of V1 neurons to natural movies (2007) (2)
- Sparse coding protects against adversarial attacks (1)
- Hierarchical inference of disparity (2011) (1)
- Integrating High Fidelity Eye, Head and World Tracking in a Wearable Device (2021) (1)
- Bispectral Neural Networks (2022) (1)
- Learning sparse overcomplete image representations (2000) (1)
- Computing with Hypervectors for Efficient Speaker Identification (2022) (1)
- Unsupervised Learning of Lie Group Operators from Natural Movies (2008) (1)
- The translation invariant bispectrum for feature analysis in complex cells (2019) (1)
- Image denoising using learned overcomplete representations (2003) (1)
- An Interactive Annotation Tool for Perceptual Video Compression (2022) (1)
- Subspace Locally Competitive Algorithms (2020) (1)
- Opportunities for Analog Coding in Emerging Memory Systems (2017) (1)
- news and views A new window on sound (2002) (1)
- EDITORIAL: Sensory coding in the natural environment (2003) (1)
- Neural architectures for sparse approximation (2008) (1)
- EASONING ABOUT S PATIAL R ELATIONSHIPS (2016) (1)
- Generalization Challenges for Neural Architectures in Audio Source Separation (2018) (1)
- Evidence for the analysis of visual motion through the anisotropic attenuation of high spatial frequencies (2003) (0)
- Faculty Opinions recommendation of Efficient coding of time-relative structure using spikes. (2005) (0)
- Neural Computations for Active Perception (2017) (0)
- Questions Unanswered , and Questions Not Yet (2013) (0)
- Analog Coding in Emerging Memory Systems (2020) (0)
- Supplement to “ Learning Intermediate-Level Representations of Form and Motion from Natural Movies ” by (2012) (0)
- From natural scene statistics to models of neural coding and representation ( part 2 ) (2012) (0)
- Learning and generalization of compositional representations of visual scenes (2023) (0)
- Adapting overcomplete wavelet models to natural images (2003) (0)
- Learning and Inference in Sparse Coding Models With Langevin Dynamics (2022) (0)
- Neuroanatomical image alignment (2005) (0)
- �LEARNING RETINAL TILING IN A MODEL OF VISUAL ATTENTION (2016) (0)
- Are there principles ? “ God is a hacker ” – (2018) (0)
- Automatically inferring task context for continual learning (2019) (0)
- On separating long- and short-term memories in hyperdimensional computing (2023) (0)
- Linear Hebbian learning and PCA (2011) (0)
- Faculty Opinions recommendation of Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex. (2002) (0)
- MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES (1996) (0)
- Implicit Wiener series for capturing higher-order interactions in images (2004) (0)
- Learning Horizontal Connections from the Statistics of Natural Images (2007) (0)
- Neurobiology, Psychophysics, and Computational Models of Visual Attention (1993) (0)
- Visual motion compensation using a neural shifter circuit (1990) (0)
- Resonator circuits: a neural network for e ciently solving factorization problems (2021) (0)
- Modeling neural population data (2013) (0)
- Sparse coding model captures V1 population response statistics to natural movies (2013) (0)
- Problem Set # 3 Solutions (2001) (0)
- Learning Internal Representations of 3D Transformations from 2D Projected Inputs (2023) (0)
- Learning transport operators for image manifolds: supplement (2007) (0)
- Editorial (2005) (0)
- Computational issues in natural auditory scene analysis (2015) (0)
- The ` Bayesian ’ approach to perception , cognition and disease ( 3 ) (2017) (0)
- Functional Aspects (1956) (0)
- What ’ s Missing from Deep Learning ? (2017) (0)
- Early target related processing in the discrimination of natural objects (2010) (0)
- Faculty Opinions recommendation of Natural stimulation of the nonclassical receptive field increases information transmission efficiency in V1. (2002) (0)
- Sparse coding model captures V1 population response statistics to natural movies (2013) (0)
- Vision in Brains and Machines (2015) (0)
- High-density analog image storage in an analog-valued non-volatile memory array (2022) (0)
- The Cortex Transform as an image preprocessor for sparse distributed memory: An initial study (1990) (0)
- Faculty Opinions recommendation of Coding of natural scenes in primary visual cortex. (2003) (0)
- Two-dimensional shape recognition using sparse distributed memory (1990) (0)
This paper list is powered by the following services:
What Schools Are Affiliated With Bruno A. Olshausen?
Bruno A. Olshausen is affiliated with the following schools:
