Balanced Increases in Selectivity and Tolerance Produce Constant Sparseness along the Ventral Visual Stream

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Journal of Neuroscience

• Publication date

  2012-07-25

• Fields of study

  Biology, Mathematics, Medicine

• Identifiers
  DOI 10.1523/JNEUROSCI.6125-11.2012PMID 22836252PMCID PMC3485085
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Sparse coding in striate and extrastriate visual cortex.

  2011influential reference
• Statistics of visual responses in primate inferotemporal cortex to object stimuli.

  2011cited by this paper
• Selectivity and Tolerance (“Invariance”) Both Increase as Visual Information Propagates from Cortical Area V4 to IT

  2010cited by this paper
• A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation

  2009cited by this paper
• What response properties do individual neurons need to underlie position and clutter "invariant" object recognition?

  2009cited by this paper
• A neural code for three-dimensional object shape in macaque inferotemporal cortex

  2008cited by this paper
• A Novel Multiple Objective Optimization Framework for Constraining Conductance-Based Neuron Models by Experimental Data

  2007cited by this paper
• Neurons in monkey visual area V2 encode combinations of orientations

  2007cited by this paper
• Robust Object Recognition with Cortex-Like Mechanisms

  2007influential reference
• Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex

  2007cited by this paper
• Long Memory Lifetimes Require Complex Synapses and Limited Sparseness

  2007cited by this paper
• Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex.

  2006cited by this paper
• Selectivity and sparseness in the responses of striate complex cells.

  2005cited by this paper
• Dynamics of motion signaling by neurons in macaque area MT

  2005cited by this paper
• Learning methods for generic object recognition with invariance to pose and lighting

  2004cited by this paper
• Underlying principles of visual shape selectivity in posterior inferotemporal cortex

  2004cited by this paper
• Sparse coding of sensory inputs.

  2004cited by this paper
• Natural Stimulation of the Nonclassical Receptive Field Increases Information Transmission Efficiency in V1

  2002influential reference
• Characterizing the sparseness of neural codes

  2001cited by this paper
• A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients

  2000cited by this paper
• Spatial sensitivity of macaque inferior temporal neurons

  2000cited by this paper
• Responses to contour features in macaque area V4.

  1999cited by this paper
• Hierarchical models of object recognition in cortex

  1999influential reference
• Responses of neurons in primary and inferior temporal visual cortices to natural scenes

  1997influential reference
• Emergence of simple-cell receptive field properties by learning a sparse code for natural images

  1996cited by this paper
• Visual object recognition.

  1996cited by this paper
• Energy Efficient Neural Codes

  1996cited by this paper
• Inferotemporal cortex and object vision.

  1996cited by this paper
• Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex.

  1995influential reference
• Size and position invariance of neuronal responses in monkey inferotemporal cortex.

  1995cited by this paper
• Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex.

  1994cited by this paper
• Selectivity for polar, hyperbolic, and Cartesian gratings in macaque visual cortex.

  1993cited by this paper
• Visuotopic organization and extent of V3 and V4 of the macaque

  1988cited by this paper
• Visual properties of neurons in area V4 of the macaque: sensitivity to stimulus form.

  1987cited by this paper
• Stimulus-selective properties of inferior temporal neurons in the macaque

  1984cited by this paper
• Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

  1980cited by this paper
• Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology?

  1972cited by this paper
• Single units and sensation: a neuron doctrine for perceptual psychology?

  1972cited by this paper

• Adaptive recruitment of cortex-wide recurrence for visual object recognition

  2025cites this paper
• Dual-feature selectivity enables bidirectional coding in visual cortical neurons

  2025cites this paper
• Computations that sustain neural feature selectivity across processing stages

  2025cites this paper
• The Information-Theoretic Imperative: Compression and the Epistemic Foundations of Intelligence

  2025cites this paper
• Representational maps in the brain: concepts, approaches, and applications

  2024cites this paper
• Neural signatures of natural behaviour in socializing macaques

  2024cites this paper
• Factorized visual representations in the primate visual system and deep neural networks

  2024cites this paper
• Nonresponsive Neurons Improve Population Coding of Object Location

  2024cites this paper
• Visual objects refine head direction coding

  2024cites this paper
• Burst firing optimizes invariant coding of natural communication signals by electrosensory neural populations

  2024cites this paper
• Neural correlates of visual object recognition in rats

  2023cites this paper
• A "Bandwidth" in cortical representations of multiple faces.

  2023cites this paper
• Neural signatures of natural behavior in socializing macaques

  2023cites this paper
• Allocentric information represented by self‐referenced spatial coding in the primate medial temporal lobe

  2023cites this paper
• In V1, attending is not learning to see.

  2022cites this paper
• Quadratic computations maintain neural specificity to natural stimuli across stages of visual processing

  2022cites this paper
• Accounting for Bias in the Estimation of r2 between Two Sets of Noisy Neural Responses

  2022cites this paper
• Fine-tuning hierarchical circuits through learned stochastic co-modulation

  2022cites this paper
• Neuronal activity in sensory cortex predicts the specificity of learning in mice

  2022cites this paper
• Rapid Selectivity to Natural Images Across Layers of Primate V1

  2022cites this paper
• Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy

  2021cites this paper
• Pinpointing the neural signatures of single-exposure visual recognition memory

  2021cites this paper
• Neural Synchrony Gives Rise to Amplitude- and Duration-Invariant Encoding Consistent With Perception of Natural Communication Stimuli

  2020cites this paper
• Study on Representation Invariances of CNNs and Human Visual Information Processing Based on Data Augmentation

  2020cites this paper
• Pinpointing the neural signatures of single-exposure visual familiarity

  2020cites this paper
• Neuronal activity in sensory cortex predicts the specificity of learning in mice

  2020cites this paper
• The Primary Visual Cortex

  2020cites this paper
• A modular high-density μECoG system on macaque vlPFC for auditory cognitive decoding

  2020cites this paper
• Deep predictive coding accounts for emergence of complex neural response properties along the visual cortical hierarchy

  2020cites this paper
• An Annotated Journey through Modern Visual Neuroscience

  2020cites this paper
• Selective and invariant features of neural response surfaces measured with principal curvature

  2019cites this paper
• Rotational Dynamics Reduce Interference Between Sensory and Memory Representations

  2019cites this paper
• On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding

  2019cites this paper
• Researchers Keep Rejecting Grandmother Cells after Running the Wrong Experiments: The Issue Is How Familiar Stimuli Are Identified

  2019cites this paper
• A modular high-density 294-channel μECoG system on macaque vlPFC for auditory cognitive decoding

  2019cites this paper
• The Natural Tendency of Feed Forward Neural Networks to Favor Invariant Units

  2019cites this paper
• Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys

  2018cites this paper
• Single-exposure visual memory judgments are reflected in inferotemporal cortex

  2018cites this paper
• 'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification

  2018cites this paper
• Natural image and receptive field statistics predict saccade sizes

  2018cites this paper
• Sensory deprivation during development induces lifelong changes to central nervous system

  2018cites this paper
• Developmental deprivation-induced perceptual and cortical processing deficits in awake-behaving animals

  2018cites this paper
• The integration of visual and target signals in V4 and IT during visual object search

  2018cites this paper
• Statistical learning models of sensory processing and implications of biological constraints

  2018cites this paper
• Stimulus context alters neural representations of faces in inferotemporal cortex.

  2017cites this paper
• Abbreviated Title : Compressive Temporal Summation

  2017cites this paper
• Single-exposure visual memory judgments are reflected in IT cortex

  2017cites this paper
• Behavioral and neural constraints on hierarchical representations.

  2017cites this paper
• Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex

  2017cites this paper
• A Balanced Comparison of Object Invariances in Monkey IT Neurons

  2017cites this paper
• Eidolons: Novel stimuli for vision research.

  2017cites this paper
• Construction of Shape Representation in Early-to Intermediate-level Visual Cortex : Sparseness, Surface, and Synchronization

  2017cites this paper
• Contribution of spiking activity in the primary auditory cortex to detection in noise.

  2017influential citation
• What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated.

  2016cites this paper
• Neurons in the inferior temporal cortex of macaque monkeys are sensitive to multiple surface features from natural objects

  2016cites this paper
• Seeing a straight line on a curved surface: decoupling of patterns from surfaces by single IT neurons

  2016cites this paper
• Pooled, but not single-neuron, responses in macaque V4 represent a solution to the stereo correspondence problem.

  2016cites this paper
• How Invariant Feature Selectivity Is Achieved in Cortex

  2016cites this paper
• Sparse coding generates curvature selectivity in V4 neurons.

  2016cites this paper
• Gradual Development of Visual Texture-Selective Properties Between Macaque Areas V2 and V4

  2016cites this paper
• Feature-coding transitions to conjunction-coding with progression through human visual cortex

  2016cites this paper
• Selectivity and tolerance for visual texture in macaque V2

  2016cites this paper
• Selective IT neurons are selective along many dimensions

  2016cites this paper
• Emergence of invariant representation of vocalizations in the auditory cortex.

  2015cites this paper
• Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance

  2015cites this paper
• Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli

  2015cites this paper
• Dynamics of 3D view invariance in monkey inferotemporal cortex

  2015influential citation
• Progressive recovery of cortical and midbrain sound feature encoding following profound cochlear neuropathy

  2015cites this paper
• Encoding of ultrasonic communication signals in rat auditory cortex

  2015cites this paper
• Feedforward object-vision models only tolerate small image variations compared to human

  2014cites this paper
• Online Stimulus Optimization Rapidly Reveals Multidimensional Selectivity in Auditory Cortical Neurons

  2014cites this paper
• Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4

  2013cites this paper
• The Sparseness of Mixed Selectivity Neurons Controls the Generalization–Discrimination Trade-Off

  2013influential citation
• Emergence of Selectivity and Tolerance in the Avian Auditory Cortex

  2012cites this paper