Citation Impact
Citing Papers
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
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Distinct Ensemble Codes in Hippocampal Areas CA3 and CA1
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Just One View: Invariances in Inferotemporal Cell Tuning
1997
Unsupervised Learning of Mixtures of Multiple Causes in Binary Data
1993
How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis
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Social cognition and the human brain
1999
Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells
2007
Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical visual areas
1992
Both of Us Disgusted in My Insula
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Minimal Sulfated Carbohydrates for Recognition by L-selectin and the MECA-79 Antibody
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Top-down influences on visual processing
2013
Recognition of Objects and Their Component Parts: Responses of Single Units in the Temporal Cortex of the Macaque
1994
Storage of 7 ± 2 Short-Term Memories in Oscillatory Subcycles
1995 StandoutScience
Backpropagation and the brain
2020 StandoutNobel
Actor–critic models of the basal ganglia: new anatomical and computational perspectives
2002
Thalamocortical Oscillations in the Sleeping and Aroused Brain
1993 StandoutScience
Learning the parts of objects by non-negative matrix factorization
1999 StandoutNature
Sparse coding with an overcomplete basis set: A strategy employed by V1?
1997 Standout
Computational constraints between retrieving the past and predicting the future, and the CA3‐CA1 differentiation
2004
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
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Plasticity in single neuron and circuit computations
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Noise in the nervous system
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A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation
2009
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
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Machine learning for molecular and materials science
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Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
2014
Progressive Transformation of Hippocampal Neuronal Representations in “Morphed” Environments
2005 StandoutNobel
The “independent components” of natural scenes are edge filters
1997
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
INVARIANT FACE AND OBJECT RECOGNITION IN THE VISUAL SYSTEM
1997
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
1996 StandoutNature
Learning in linear neural networks: a survey
1995
Hierarchical models of object recognition in cortex
1999 Standout
Behavioral constraints in the development of neuronal properties: a cortical model embedded in a real-world device
1998
Supervised and Unsupervised Learning with Two Sites of Synaptic Integration
2001
Reinforcement Learning on Slow Features of High-Dimensional Input Streams
2010
Learning the Lie Groups of Visual Invariance
2007
Deep learning and process understanding for data-driven Earth system science
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What we can do and what we cannot do with fMRI
2008 StandoutNature
View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation
2016
A sensorimotor account of vision and visual consciousness
2001 Standout
Deep learning
2015 StandoutNatureNobel
Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
2014
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Natural signal statistics and sensory gain control
2001
Adaptation: from single cells to BOLD signals
2006
View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex
1998
The lateral occipital complex and its role in object recognition
2001
How Does the Brain Solve Visual Object Recognition?
2012
A Model of V4 Shape Selectivity and Invariance
2007
Deep learning in neural networks: An overview
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The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex
2001
Complex brain networks: graph theoretical analysis of structural and functional systems
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Invariant Visual Responses From Attentional Gain Fields
1997
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
2010 StandoutNobel
Mechanisms of Face Perception
2008
Rab3 Superprimes Synaptic Vesicles for Release: Implications for Short-Term Synaptic Plasticity
2006 StandoutNobel
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
2001 StandoutScience
Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex
2012
Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning
2004 StandoutScience
Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer
1994
A theory of cortical responses
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Unsupervised learning by competing hidden units
2019 StandoutNobel
Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams
2012
Learning viewpoint-invariant face representations from visual experience in an attractor network
1998
Competition and Multiple Cause Models
1995
Neurophysiology of shape processing
1993
Fast Readout of Object Identity from Macaque Inferior Temporal Cortex
2005 Science
A Simple Hebbian/Anti-Hebbian Network Learns the Sparse, Independent Components of Natural Images
2005
Complex networks: Structure and dynamics
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Learning Factorial Codes by Predictability Minimization
1992
INFERENCE AND COMPUTATION WITH POPULATION CODES
2003
Empathy for Pain Involves the Affective but not Sensory Components of Pain
2004 StandoutScience
Compressed sensing
2006 Standout
Semilinear Predictability Minimization Produces Well-Known Feature Detectors
1996
A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
1993
Slow Feature Analysis: Unsupervised Learning of Invariances
2002
ImageNet classification with deep convolutional neural networks
2017 StandoutNobel
A Global Geometric Framework for Nonlinear Dimensionality Reduction
2000 StandoutScience
Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision
2000 StandoutScience
Sparse Components of Images and Optimal Atomic Decompositions
2001
Hierarchical Neural Networks for Image Interpretation
2003
Correlations of cortical Hebbian reverberations: theory versus experiment
1994
Pavlovian conditioning–induced hallucinations result from overweighting of perceptual priors
2017 StandoutScience
Natural Image Statistics and Neural Representation
2001 Standout
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
Beyond Phrenology: What Can Neuroimaging Tell Us About Distributed Circuitry?
2002
Bilinear models of natural images
2007
Energy Efficient Neural Codes
1996
Recurrent Processing during Object Recognition
2013
Colour Vision: Adapting to change
1995
The Development of Invariant Object Recognition Requires Visual Experience With Temporally Smooth Objects
2018
Correspondence of the brain's functional architecture during activation and rest
2009 Standout
Stimulus-Dependent Assembly Formation of Oscillatory Responses: III. Learning
1992
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Autonomous Mental Development by Robots and Animals
2001 StandoutScience
A Cortical Area Selective for Visual Processing of the Human Body
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Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
2007
What Is the Goal of Sensory Coding?
1994
A Multiple Cause Mixture Model for Unsupervised Learning
1995
Image quality assessment: from error visibility to structural similarity
2004 Standout
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
1995 Standout
Nonlinear Dimensionality Reduction by Locally Linear Embedding
2000 StandoutScience
Finding Minimum Entropy Codes
1989
Learning viewpoint-invariant face representations from visual experience in an attractor network
1998
Feature Extraction Through LOCOCODE
1999
Towards an integration of deep learning and neuroscience
2016
Works of Péter Földiák being referenced
Adaptation and decorrelation in the cortex
1989
Sparse coding in the primate cortex
1998
Bayesian binning for maximising information rate of rapid serial presentation for sensory neurons
2007
The `Ideal Homunculus': decoding neural population signals
1998
Forming sparse representations by local anti-Hebbian learning
1990
Rapid serial visual presentation for the determination of n eural selectivity in area STSa
2004
Information Theory and the Brain
2000
The Speed of Sight
2001
Learning generalisation and localisation: Competition for stimulus type and receptive field
1996
Learning Invariance from Transformation Sequences
1991