S. Edelman

发表

A network that learns to recognize three-dimensional objects

T. Poggio, S. Edelman, T. Poggio, 1990, Nature.

Generalization to Novel Images in Upright and Inverted Faces

S. Ullman, S. Edelman, Y. Moses, 1993, Perception.

Representation of Similarity in 3D Object Discrimination

S. Edelman, 1995 .

Orientation dependence in the recognition of familiar and novel views of three-dimensional objects

S. Edelman, H. Bülthoff, 1992, Vision Research.

Human Brain Mapping 6:316–328(1998) � A Sequence of Object-Processing Stages Revealed by fMRI in the Human Occipital Lobe

S. Edelman, T. Kushnir, K. Grill-Spector, 2022 .

Learning Low Dimensional Representations of Visual Objects With Extensive Use of Prior Knowledge

S. Edelman, N. Intrator, 1997 .

Explorations of Shape Space

S. Edelman, F. Cutzu, 1995 .

Stimulus Familiarity Determines Recognition Strategy for Novel 3D Objects

S. Edelman, H. Bülthoff, D. Weinshall, 1989 .

Complex cells and Object Recognition

Nathan Intrator, Shimon Edelman, Tomaso Poggio, 1997 .

Receptive Fields for Vision: from Hyperacuity to Object Recognition

S. Edelman, 1995 .

Computational Theories of Object Recognition Edelman -computation and Object Recognition Ii Box 1. Structural Descriptions ~ 7~ Recognition by Components Varieties of Alignment Multidimensional Histograms Approximation in Feature Space

S. Edelman, Chun, M. M. And Potter, 2022 .

Unsupervised statistical learning in vision : computational principles , biological evidence ∗

S. Edelman, N. Intrator, 2004 .

How to Make a Low-Dimensional Representation Suitable for Diverse Tasks

Nathan Intrator, Shimon Edelman, S. Edelman, 1996 .

Constraining the neural representation of the visual world

S. Edelman, 2002, Trends in Cognitive Sciences.

Representations in high-level vision: reassessing the inverse optics paradigm

T. Poggio, S. Edelman, 1989 .

Computing the mind : how the mind really works

S. Edelman, 2008 .

Learning to grasp using visual information

Shimon Edelman, Tamar Flash, Ishay Kamon, 1996, Proceedings of IEEE International Conference on Robotics and Automation.

Bringing the Grandmother back into the Picture: A Memory-Based View of Object Recognition

Shimon Edelman, Tomaso Poggio, T. Poggio, 1990, Int. J. Pattern Recognit. Artif. Intell..

Psychophysical support for a two-dimensional view interpolation theory of object recognition.

H H Bülthoff, S Edelman, S. Edelman, 1992, Proceedings of the National Academy of Sciences of the United States of America.

Receptive field spaces and class-based generalization from a single view in face recognition

Shimon Edelman, Maria Lando, S. Edelman, 1995 .

S. Edelman, S. Duvdevani-Bar, 1995 .

Representation Is Representation of Similarities Representation Is Representation of Similarities

S. Edelman, 1996 .

Representation of Similarity in Three-Dimensional Object Discrimination

Shimon Edelman, S. Edelman, 1995, Neural Computation.

Differential Processing of Objects under Various Viewing Conditions in the Human Lateral Occipital Complex

S. Edelman, K. Grill-Spector, Y. Itzchak, 1999, Neuron.

Cue-Invariant Activation in Object-Related Areas of the Human Occipital Lobe

S. Edelman, T. Kushnir, K. Grill-Spector, 1998, Neuron.

Reading cursive handwriting by alignment of letter prototypes

Shimon Ullman, Shimon Edelman, Tamar Flash, 1991, International Journal of Computer Vision.

Representation of object similarity in human vision: psychophysics and a computational model

S. Edelman, F. Cutzu, 1998, Vision Research.

Translation invariance in object recognition, and its relation to other visual transformations

S. Edelman, M. Dill, 1997 .

Rapid Shape Adaptation Reveals Position and Size Invariance in the Object-Related Lateral Occipital (LO) Complex.

S. Edelman, T. Kushnir, K. Grill-Spector, 1998, NeuroImage.

Fast perceptual learning in hyperacuity

T. Poggio, S. Edelman, M. Fahle, 1995, Vision Research.

Long-term learning in vernier acuity: Effects of stimulus orientation, range and of feedback

S. Edelman, M. Fahle, 1993, Vision Research.

General cognitive principles for learning structure in time and space

S. Edelman, J. Halpern, H. Waterfall, 2010, Trends in Cognitive Sciences.

Learn locally, act globally: Learning language from variation set cues

S. Edelman, H. Waterfall, Luca Onnis, 2008, Cognition.

Toward direct visualization of the internal shape representation space by fMRI

S. Edelman, K. Grill-Spector, R. Malach, 1998, Psychobiology.

Learning to Recognize Faces from Examples

Shimon Edelman, Yehezkel Yeshurun, Daniel Reisfeld, 1992, ECCV.

Generalization of object recognition in human vision across stimulus transformations and deformations

S. Edelman, H. Bülthoff, 1990 .

Representation and recognition in vision

Shimon Edelman, S. Edelman, 1999 .

Towards structural systematicity in distributed, statically bound visual representations

Nathan Intrator, Shimon Edelman, S. Edelman, 2003, Cogn. Sci..

Imperfect Invariance to Object Translation in the Discrimination of Complex Shapes

S. Edelman, M. Dill, 2001, Perception.

Constraints on the nature of the neural representation of the visual world

S. Edelman, 2001 .

Integrating visual cues for object segmentation and recognition

Shimon Edelman, Tomaso Poggio, T. Poggio, 1989 .

Representation of similarity as a goal of early visual processing

Shimon Edelman, Yair Weiss, S. Edelman, 1995 .

Automatic Acquisition and Efficient Representation of Syntactic Structures

Eytan Ruppin, Shimon Edelman, David Horn, 2002, NIPS.

Canonical views in object representation and recognition

S. Edelman, F. Cutzu, Florin Cutzu, 1994, Vision Research.

Bridging computational, formal and psycholinguistic approaches to language

Eytan Ruppin, Shimon Edelman, David Horn, 2004 .

Stimulus-specific effects in face recognition over changes in viewpoint

A. O'Toole, S. Edelman, H. Bülthoff, 1998, Vision Research.

Fast perceptual learning in visual hyperacuity.

T Poggio, M Fahle, S Edelman, 1991, Science.

Models of Perceptual Learning in Vernier Hyperacuity

Shimon Edelman, Yair Weiss, Manfred Fahle, 1993, Neural Computation.

Language and other complex behaviors: Unifying characteristics, computational models, neural mechanisms

S. Edelman, 2017 .

The problem of multimodal concurrent serial order in behavior

S. Edelman, O. Kolodny, 2015, Neuroscience & Biobehavioral Reviews.

The evolution of cognitive mechanisms in response to cultural innovations

S. Edelman, J. Halpern, A. Lotem, 2017, Proceedings of the National Academy of Sciences.

S. Edelman, S. Duvdevani-Bar, 2007 .

Vision Reanimated

S. Edelman, 1996 .

Computational (Principles of) Psychology

S. Edelman, 2015 .

Computing the mind

S. Edelman, 2008 .

How seriously should we take Minimalist syntax?

Morten H. Christiansen, S. Edelman, 2003, Trends in Cognitive Sciences.

Computational Approaches to Shape Constancy

S. Edelman, D. Weinshall, 1994 .

Regarding Reality: Some Consequences of Two Incapacities

S. Edelman, 2011, Front. Psychology.

IN THEORETICAL AND PHILOSOPHICAL PSYCHOLOGY Some Consequences of Two Incapacities

S. Edelman, 2010 .

IN THEORETICAL AND PHILOSOPHICAL PSYCHOLOGY Regarding Reality : Some Consequences of Two Incapacities

S. Edelman, 2022 .

Author ' s personal copy General cognitive principles for learning structure in time and space

Joseph Y. Halpern, S. Edelman, H. Waterfall, 2010 .

Computational theories of object recognition

S. Edelman, 1997, Trends in Cognitive Sciences.

Competitive learning in biological and artificial neural computation

S. Edelman, N. Intrator, 1997, Trends in Cognitive Sciences.

Evaluating Object Recognition Theories by Computer Graphics Psychophysics

S. Edelman, 1993 .

Learning low-dimensional representations via the usage of multiple-class labels

S. Edelman, N. Intrator, 1997 .

Metrics of the perception of body movement Laboratory for Action Representation and

S. Edelman, M. Giese, 2008 .

Varieties of perceptual truth and their possible evolutionary roots

S. Edelman, 2014, Psychonomic Bulletin & Review.

Towards a computational theory of experience

S. Edelman, Tomer Fekete, 2011, Consciousness and Cognition.

THE METAPHYSICS OF EMBODIMENT

S. Edelman, 2011 .

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES

S. Edelman, 2001 .

Shape representation by econd-order somorphism, and the horus model:

S. Edelman, 1998 .

Six Challenges to Theoretical and Philosophical Psychology

S. Edelman, 2012, Front. Psychology.

Damasio, Antonio, 2018. The Strange Order of Things: Life, Feeling, and the Making of Cultures. New York: Pantheon. 336 pages.

S. Edelman, 2018, Evolutionary Studies in Imaginative Culture.

Measuring Mental Entrenchment of Phrases with Perceptual Identification, Familiarity Ratings, and Corpus Frequency Statistics

Jonathan Berant, Shimon Edelman, S. Edelman, 2012 .

Juvenile zebra finches learn the underlying structural regularities of their fathers’ song

S. Edelman, M. Goldstein, T. Devoogd, 2015, Front. Psychol..

Learning Syntactic Constructions from Raw Corpora

Eytan Ruppin, Shimon Edelman, David Horn, 2004 .

Representation with Receptive Fields

S. Edelman, Y. Weiss, 1993 .

Survival in a world of probable objects: A fundamental reason for Bayesian enlightenment

S. Edelman, Reza Shahbazi, 2011, Behavioral and Brain Sciences.

Being in time : dynamical models of phenomenal experience

S. Edelman, Tomer Fekete, N. Zach, 2012 .

Fundamental constraints on theories of phenomenal experience

S. Edelman, Tomer Fekete, 2013 .

I am what I am

S. Edelman, Tomer Fekete, 2013 .

Trade-off Between Capacity and Generalization in a Model of Memory

Y. Yeshurun, S. Edelman, G. Tenenbaum, 2008 .

To bee or not to bee

S. Edelman, Tomer Fekete, R. Moyal, 2016 .

Language and the rest of cognition : computational , algorithmic and possible neural commonalities

S. Edelman, 2003 .

Review : Mostly Harmless

S. Edelman, 2006 .

Mostly Harmless ∗ — a review of Action in Perception (A. Noë, MIT Press, 2004) —

A. Noë, S. Edelman, Alva Noë, 2005 .

Being in time

S. Edelman, Tomer Fekete, 2012 .

Being in Time (extended Abstract)

S. Edelman, Tomer Fekete, 2011 .

Parental speech to typical and atypical populations: a study on linguistic partial repetition

S. Edelman, P. Venuti, Luca Onnis, 2021 .

Cortical Transformation of Stimulus Space in Order to Linearize a Linearly Inseparable Task

Rajeev D. S. Raizada, Dave F. Kleinschmidt, R. Jacobs, 2020, Journal of Cognitive Neuroscience.

Opinion Opinion Opinion

S. Edelman, 2008 .

Tracks in the Mind: Differential Entrenchment of Common and Rare Liturgical and Everyday Multiword Phrases in Religious and Secular Hebrew Speakers

S. Edelman, Jonathan Berant, C. Caldwell-Harris, 2008 .

Local Qualitative Shape from Stereo without Detailed Correspondence Extended Abstract

S. Edelman, 2010 .

Cortical Transformation of Stimulus Space in Order to Linearize a Linearly Inseparable Task

Rajeev D. S. Raizada, Dave F. Kleinschmidt, R. Jacobs, 2019, Journal of Cognitive Neuroscience.

Learning low-dimensional representations via the usage of multiple-class labels

S. Edelman, N. Intrator, 1997 .

PsychocompLA-2007 Psychocomputational Models of Human Language Acquisition

Charles D. Yang, J. Tenenbaum, P. Niyogi, 2007 .

Supporting Online Material

S. Edelman, E. Ruppin, Zach Solan, 2003 .

Beyond uncertainty: A broader scope for “incentive hope” mechanisms and its implications

M. Feldman, S. Edelman, A. Lotem, 2019, Behavioral and Brain Sciences.

Face Recognition 1 Running Head: Face Recognition over View Change Stimulus-speciic Eeects in Face Recognition over Changes in Viewpoint

A. O'Toole, S. Edelman, A. O’Toole, 2007 .

Language beyond Skinner and Chomsky ∗ Spring 2017 — Mondays , 2 : 00 – 4 : 25 pm prerequisite : permission of instructor

S. Edelman, 2017 .

Evolved to adapt: A computational approach to animal innovation and creativity

Shimon Edelman, Oren Kolodny, Arnon Lotem, 2015 .

Marr, David (1945–80)

S. Edelman, L. Vaina, 2001 .

On look-ahead in language: navigating a multitude of familiar paths∗

S. Edelman, 2009 .

A New Vision of Language

S. Edelman, 2003 .

How seriously should we take Minimalist syntax? A comment on Lasnik

Morten H. Christiansen, Shimon Edelman, S. Edelman, 2002 .

Shimon Edelman, Rajeev D. S. Raizada, Reza Shahbazi, 2016 .

The minority report: some common assumptions to reconsider in the modelling of the brain and behaviour

Shimon Edelman, S. Edelman, 2016, J. Exp. Theor. Artif. Intell..

Functionally Effective Conscious AI Without Suffering pdf

Aman Agarwal, Shimon Edelman, S. Edelman, 2020, J. Artif. Intell. Conscious..

Renewing the respect for similarity

Shimon Edelman, Reza Shahbazi, S. Edelman, 2012, Front. Comput. Neurosci..

What's in a cell assembly?

Shimon Edelman, S. Edelman, Josef P. Rauschecker, 1995, Behavioral and Brain Sciences.

Dynamic Computation in Visual Thalamocortical Networks

Shimon Edelman, Roy Moyal, S. Edelman, 2019, Entropy.

Computational models of language universals: Expressiveness, learnability and consequences

Edward P. Stabler, S. Edelman, S. Edelman, 2011 .

Behavioral and computational aspects of language and its acquisition

Shimon Edelman, Heidi Waterfall, S. Edelman, 2007 .

Learning as Extraction of Low-Dimensional Representations

Nathan Intrator, Shimon Edelman, S. Edelman, 1997 .

Acoustic sequences in non‐human animals: a tutorial review and prospectus

Ramon Ferrer-i-Cancho, Shimon Edelman, Arik Kershenbaum, 2016, Biological reviews of the Cambridge Philosophical Society.

Evolution of language diversity : the survival of the fitness

Eytan Ruppin, Shimon Edelman, Zach Solan, 2002 .

Dynamical Emergence Theory (DET): A Computational Account of Phenomenal Consciousness

Shimon Edelman, Tomer Fekete, Roy Moyal, 2020, Minds and Machines.

Computational models of perceptual learning

S. Edelman, N. Intrator, 2021 .

Polarize, Catalyze, Stabilize: Conscience and the evolution of cooperation

Victor Vikram Odouard, S. Edelman, D. Smirnova, 2021, ArXiv.

Combining Classification with fMRI-Derived Complex Network Measures for Potential Neurodiagnostics

Tomer Fekete, Meytal Wilf, Denis Rubin, 2013, PloS one.

Learning of visual modules from examples: A framework for understanding adaptive visual performance

Tomaso A. Poggio, Shimon Edelman, Manfred Fahle, 1992, CVGIP Image Underst..

Unsupervised learning of natural languages

Eytan Ruppin, Shimon Edelman, Zach Solan, 2006 .

How are three-dimensional objects represented in the brain?

H H Bülthoff, S Y Edelman, M J Tarr, 1994, Cerebral cortex.

Representation with receptive elds : gearing up for recognitionYair

Shimon Edelman, S. Edelman, 1993 .

On the ethics of constructing conscious AI

S. Edelman, 2023, ArXiv.

Vision, Reanimated and Reimagined

Shimon Edelman, S. Edelman, 2012, Perception.

Visual Recognition and Categorization on the Basis of Similarities to Multiple Class Prototypes

Shimon Edelman, Sharon Duvdevani-Bar, S. Edelman, 1999, International Journal of Computer Vision.

On Learning to Recognize 3-D Objects from Examples

Shimon Edelman, S. Edelman, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Representation, similarity, and the chorus of prototypes

Shimon Edelman, S. Edelman, 1993, Minds and Machines.

A model of handwriting

Shimon Edelman, Tamar Flash, S. Edelman, 2004, Biological Cybernetics.

The Role of Hierarchy in Learning to Categorize Images

David J. Field, Shimon Edelman, Reza Shahbazi, 2011, CogSci.

A self-organizing multiple-view representation of 3D objects

Daphna Weinshall, Heinrich H. Bülthoff, Shimon Edelman, 2004, Biological Cybernetics.

Learning as formation of low-dimensional representation spaces

Shimon Edelman, S. Edelman, 1997 .

Representation of objective similarity among three-dimensional shapes in the monkey

Shimon Edelman, Keiji Tanaka, Tadashi Sugihara, 1998, Biological Cybernetics.

A Model of the Acquisition of Object Representations in Human 3D Visual Recognition

Daphna Weinshall, Heinrich H. Bülthoff, Tomaso Poggio, 1993 .

Bridging language with the rest of cognition: computational, algorithmic and neurobiological issues and methods

Shimon Edelman, S. Edelman, 2004 .

Verbal behavior without syntactic structures: beyond Skinner and Chomsky

S. Edelman, 2023, ArXiv.

Shimon Edelman, Sharon Duvdevani-Bar, S. Edelman, 1997, Neural Computation.

Probabilistic principles in unsupervised learning of visual structure: human data and a model

Nathan Intrator, Shimon Edelman, Hwajin Yang, 2001, NIPS.

"Language is Spatial": Experimental Evidence for Image Schemas of Concrete and Abstract Verbs

Daniel C. Richardson, Shimon Edelman, Michael J. Spivey, 2001 .

Shimon Edelman, S. Edelman, 1995, Biological Cybernetics.

On the nature of minds, or: truth and consequences

Shimon Edelman, S. Edelman, 2008, J. Exp. Theor. Artif. Intell..

Evolution of protolinguistic abilities as a by-product of learning to forage in structured environments

Shimon Edelman, Oren Kolodny, Arnon Lotem, 2015, Proceedings of the Royal Society B: Biological Sciences.

Between Pleasure and Contentment: Evolutionary Dynamics of Some Possible Parameters of Happiness

Shimon Edelman, S. Edelman, Yue Gao, 2016, PloS one.

Rich Syntax from a Raw Corpus: Unsupervised Does It

Eytan Ruppin, Shimon Edelman, David Horn, 2003 .

Image description with a goal: Building efficient discriminating expressions for images

Tsuhan Chen, Noah Snavely, Shimon Edelman, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

A Productive, Systematic Framework for the Representation of Visual Structure

Nathan Intrator, Shimon Edelman, S. Edelman, 2000, NIPS.

(coarse Coding of Shape Fragments) (retinotopy) Representation of Structure

Nathan Intrator, Shimon Edelman, S. Edelman, 2000 .

Viewpoint generalization in face recognition: The role of category-specific processes

Shimon Edelman, S. Edelman, 1999 .

Language Acquisition in Humans and Computers

Shimon Edelman, S. Edelman, 2005 .

Some Tests of an Unsupervised Model of Language Acquisition

Shimon Edelman, Zach Solan, Bo Pedersen, 2004 .

Unsupervised context sensitive language acquisition from large, untagged corpora

Eytan Ruppin, Shimon Edelman, Zach Solan, 2003 .

Supporting Online Material

S. Edelman, E. Ruppin, Zach Solan, 2003 .

The evolution of the capacity for language: the ecological context and adaptive value of a process of cognitive hijacking

Shimon Edelman, Oren Kolodny, S. Edelman, 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

Dynamical Emergence of Phenomenal Consciousness: an Outline of a Theory

Shimon Edelman, Roy Moyal, S. Edelman, 2019, AAAI Spring Symposium: Towards Conscious AI Systems.

Fundamental computational constraints on the time course of perception and action.

Shimon Edelman, Roy Moyal, S. Edelman, 2017, Progress in brain research.

On the representation of object structure in human vision: evidence from di erential priming of shape and location

Shimon Edelman, S. Edelman, Fiona Newell, 1998 .

Unsupervised Context Sensitive Language Acquisition from a Large Corpus

Eytan Ruppin, Shimon Edelman, David Horn, 2003, NIPS.

The interaction of shape- and location-based priming in object categorisation: Evidence for a hybrid “what+where” representation stage

Shimon Edelman, Fiona N. Newell, Kimron L. Shapiro, 2005, Vision Research.

Representing three-dimensional objects by sets of activities of receptive fields

Shimon Edelman, S. Edelman, 1993, Biological Cybernetics.

Happiness as an intrinsic motivator in reinforcement learning

Yue Gao, Shimon Edelman, S. Edelman, 2016, Adapt. Behav..

Learning visually guided grasping: a test case in sensorimotor learning

Shimon Edelman, Tamar Flash, Ishay Kamon, 1998, IEEE Trans. Syst. Man Cybern. Part A.

Learning a Generative Probabilistic Grammar of Experience: A Process-Level Model of Language Acquisition

Shimon Edelman, Oren Kolodny, Arnon Lotem, 2015, Cogn. Sci..

Line connectivity algorithms for an asynchronous pyramid computer

Shimon Edelman, S. Edelman, 1987, Comput. Vis. Graph. Image Process..

The evolution of continuous learning of the structure of the environment

Shimon Edelman, Oren Kolodny, Arnon Lotem, 2014, Journal of The Royal Society Interface.

Multidimensional space: the final frontier

Shimon Edelman, S. Edelman, 2002, Nature Neuroscience.

Effects of parametric manipulation of inter-stimulus similarity on 3D object categorization.

S Edelman, H H Bülthoff, S. Edelman, 1999, Spatial vision.

Metrics of the perception of body movement.

Shimon Edelman, Martin A Giese, Ian Thornton, 2008, Journal of vision.

Unsupervised Learning of Visual Structure

Nathan Intrator, Shimon Edelman, Judah S. Jacobson, 2002, Biologically Motivated Computer Vision.

The (lack of) mental life of some machines

Shimon Edelman, Tomer Fekete, S. Edelman, 2012 .

Parental speech to typical and atypical populations: a study on linguistic partial repetition

S. Edelman, P. Venuti, Luca Onnis, 2019, Language sciences.

An empirical generative framework for computational modeling of language acquisition.

Shimon Edelman, Luca Onnis, Ben Sandbank, 2010, Journal of child language.

Machine Translation Using Automatically Inferred Construction-Based Correspondence and Language Models

Shimon Edelman, Zach Solan, S. Edelman, 2009, PACLIC.

A swan, a pike, and a crawfish walk into a bar

Shimon Edelman, S. Edelman, 2008, J. Exp. Theor. Artif. Intell..

A possible evolutionary function of phenomenal conscious experience of pain

S. Edelman, O. Kolodny, R. Moyal, 2021, Neuroscience of consciousness.

Online learning of causal structure in a dynamic game situation

Yue Gao, Shimon Edelman, Eyal Nitzany, 2012, CogSci.

Reviews: Object Recognition in Man, Monkey, and Machine, Representation and Recognition in Vision

Shimon Edelman, Pepper Williams, S. Edelman, 2000 .

Biological Constraints and the Representation of Structure in Vision and Language

Shimon Edelman, S. Edelman, 1994 .

The Role of Visual Field Position in Object Recognition

S Edelman, S. Edelman, M. Dill, 1997 .

Generalization of object recognition across stimulus rotation and deformation

Heinrich H. Bülthoff, Shimon Edelman, E Sklar, 1993 .

Cue interaction in object recognition

Daphna Weinshall, Heinrich H. Bülthoff, Shimon Edelman, 1989, Annual Meeting Optical Society of America.

Unsupervised Learning of Visual Structure

Nathan Intrator, Shimon Edelman, Judah S. Jacobson, 2002, Biologically Motivated Computer Vision.

Mostly Harmless: Action in Perception by Alva Noë

S. Edelman, 2006 .

Hilary Buxton, Shimon Edelman, Sharon Duvdevani-Bar, 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

Visual Processing of Object Structure

Nathan Intrator, Shimon Edelman, S. Edelman, 2002 .

Local statistical learning under cross-situational uncertainty

Shimon Edelman, Luca Onnis, Heidi Waterfall, 2011, CogSci.

Variation Sets Facilitate Artificial Language Learning

Shimon Edelman, Luca Onnis, Heidi Waterfall, 2008 .

Unsupervised Efficient Learning and Representation of Language Structure

Eytan Ruppin, Shimon Edelman, David Horn, 2003 .

Face distinctiveness in recognition across viewpoint: an analysis of the statistical structure of face spaces

Alice J. O'Toole, Shimon Edelman, S. Edelman, 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

An integrated approach to the study of object features in visual recognition

Heinrich H. Bülthoff, Nathan Intrator, Shimon Edelman, 1995 .

Representation is representation of similarities

S Edelman, S. Edelman, S. Edelman, 1996, Behavioral and Brain Sciences.

Varieties of perceptual truth and their possible evolutionary roots

S. Edelman, 2014, Psychonomic Bulletin & Review.

System, Subsystem, Hive: Boundary Problems in Computational Theories of Consciousness

Shimon Edelman, Tomer Fekete, Cees van Leeuwen, 2016, Front. Psychol..

Book Review

Shimon Edelman, S. Edelman, 2006, Artificial Life.

Polarize, Catalyze, Stabilize: How an active minority of norm internalizers amplifies group selection and punishment

Victor Vikram Odouard, S. Edelman, D. Smirnova, 2021, 2112.11664.

Polarize, Catalyze, Stabilize How an active minority of norm internalizers amplifies the prosocial effects of group selection and punishment

Victor Vikram Odouard, S. Edelman, D. Smirnova, 2023 .

A model of visual recognition and categorization.

S Edelman, S Duvdevani-Bar, S. Edelman, 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

Towards a computational theory of experience

S. Edelman, Tomer Fekete, 2011, Consciousness and Cognition.

An Active Inference view of cognitive control

Antonio Zampolli, Shimon Edelman, S. Edelman, 2012 .

A sequence of object‐processing stages revealed by fMRI in the human occipital lobe

S. Edelman, K. Grill-Spector, T. Hendler, 1998, Human brain mapping.

[THIS IS A PREPRINT OF A MANUSCRIPT ACCEPTED IN THE JOURNAL “BILINGUALISM: LANGUAGE AND COGNITION”] Running-Head: Bilingual Statistical Learning Title: Improved statistical learning abilities in adult bilinguals

S. Edelman, Luca Onnis, Matthew Lou-Magnuson, 2017 .

Supporting Online Material

Lippincott-Schwartz, S. Edelman, E. Ruppin, 2004 .

3D Object Recognition Using Unsupervised Feature Extraction

Heinrich H. Bülthoff, Nathan Intrator, Shimon Edelman, 1991, NIPS.

Visual Recognition and Categorization on the Basis of Similarities to Multiple Class Prototypes

S. Edelman, S. Duvdevani-Bar, 1999, International Journal of Computer Vision.

Shimon Edelman, Sharon Duvdevani-Bar, S. Edelman, 1997 .

Revisiting the effects of configuration, predictability, and relevance on visual detection during interocular suppression

S. Edelman, R. Moyal, Conrad Bhamani, 2023, Cognition.

Polarize, Catalyze, Stabilize: How a minority of norm internalizers amplify group selection and punishment

Victor Vikram Odouard, S. Edelman, D. Smirnova, 2021, 2112.11664.

The minority report: some common assumptions to reconsider in the modelling of the brain and behaviour

S. Edelman, 2016, J. Exp. Theor. Artif. Intell..

Shimon Edelman, Yael Karov, S. Edelman, 1998, CL.

A new approach to qualitative stereo

Yacov Hel-Or, Shimon Edelman, S. Edelman, 1994, Proceedings of 12th International Conference on Pattern Recognition.

Unsupervised learning of natural languages

S. Edelman, E. Ruppin, D. Horn, 2009, Proc. Natl. Acad. Sci. USA.