Daniel J. Graham

发表

D. Field, D. Rockmore, Daniel J. Graham, 2010 .

Representation and Aesthetics of the Human Face in Portraiture

Pamela M. Pallett, M. Meng, H. Leder, 2014 .

Statistical regularities in art: Relations with visual coding and perception

C. Redies, Daniel J. Graham, 2010, Vision Research.

Efficient Coding of Natural Images Outline: Abstract Introduction Efficient for What Task? Defining Efficiency A. Representational Efficiency Correlation and Decorrelation Optimal Information Transfer beyond Correlations: Sparseness and Independence Optimality with Nonlinear Systems B. Metabolic Eff

D. Field, Daniel J. Graham, 2007 .

Statistical regularities of art images and natural scenes: spectra, sparseness and nonlinearities.

David J Field, D. Field, Daniel J. Graham, 2007, Spatial vision.

THE RELATIONSHIP BETWEEN EFFICIENT CODING OF NATURAL SCENES IN THE HUMAN VISUAL SYSTEM AND STATISTICAL REGULARITIES IN ART

Daniel J. Graham, 2008 .

Variations in Intensity Statistics for Representational and Abstract Art, and for Art from the Eastern and Western Hemispheres

David J Field, D. Field, Daniel J. Graham, 2008, Perception.

EFFICIENT NEURAL CODING OF NATURAL IMAGES

D. Field, Daniel J. Graham, 2008 .

2 Sparse Coding in the Neocortex

D. Field, Daniel J. Graham, 2006 .

Lightness constancy in visual artists

Ming Meng, M. Meng, Daniel J. Graham, 2011 .

Altered spatial frequency content in paintings by artists with schizophrenia

Daniel Graham, Ming Meng, M. Meng, 2011, i-Perception.

Natural Images: Coding Efficiency

David J. Field, D. Field, Daniel J. Graham, 2009 .

Comparing higher-order spatial statistics and perceptual judgements in the stylometric analysis of art

Daniel J. Graham, Daniel N. Rockmore, J. M. Hughes, 2011, 2011 19th European Signal Processing Conference.

Neuroaesthetics: Range and restrictions

Daniel J. Graham, Anjan Chatterjee, 2013, Behavioral and Brain Sciences.

Quantification of artistic style through sparse coding analysis in the drawings of Pieter Bruegel the Elder

J. M. Hughes, James M Hughes, Daniel J Graham, 2010, Proceedings of the National Academy of Sciences.

Decorrelation and response equalization with center-surround receptive fields

Daniel J. Graham, David J. Field, Damon M. Chandler, 2004 .

Nine insights from internet engineering that help us understand brain network communication

Daniel J. Graham, 2023, Frontiers in Computer Science.

Statistics, vision, and the analysis of artistic style

Daniel J. Graham, Daniel N. Rockmore, Helmut Leder, 2012 .

Stylometrics of artwork: uses and limitations

Daniel J. Graham, Daniel N. Rockmore, J. M. Hughes, 2010, Electronic Imaging.

Artistic representations: Clues to efficient coding in human vision

Daniel J Graham, Ming Meng, M. Meng, 2011, Visual Neuroscience.

Efficient visual system processing of spatial and luminance statistics in representational and non-representational art

Daniel J. Graham, Daniel N. Rockmore, Jay D. Friedenberg, 2009, Electronic Imaging.

The Packet Switching Brain

Daniel J. Graham, Daniel N. Rockmore, D. Rockmore, 2011, Journal of Cognitive Neuroscience.

Can the theory of “whitening” explain the center-surround properties of retinal ganglion cell receptive fields?

Daniel J. Graham, David J. Field, Damon M. Chandler, 2006, Vision Research.

Visual Perception: Lightness in a High-Dynamic-Range World

Daniel J. Graham, Daniel J Graham, 2011, Current Biology.

Global nonlinear compression of natural luminances in painted art

Daniel J. Graham, David J. Field, D. Field, 2008, Electronic Imaging.

Sparse Coding in the Neocortex

Daniel J. Graham, David J. Field, D. Field, 2007 .

How Stable Are Human Aesthetic Preferences Across the Lifespan?

H. Leder, Daniel J. Graham, Cameron P Pugach, 2017, Front. Hum. Neurosci..

Creative destruction: collisions and redundancy generate emergent sparseness on the mammal connectome

Daniel J. Graham, Yan Hao, Daniel J. Graham, 2020 .

Creative destruction: Sparse activity emerges on the mammal connectome under a simulated communication strategy with collisions and redundancy

Yan Hao, Daniel Graham, Daniel J. Graham, 2020, bioRxiv.

Preference for luminance histogram regularities in natural scenes

Anjan Chatterjee, Daniel Graham, Bianca Schwarz, 2016, Vision Research.

Preference for art: similarity, statistics, and selling price

Daniel J. Graham, Daniel N. Rockmore, Jay D. Friedenberg, 2010, Electronic Imaging.

Editorial: Network Communication in the Brain

Andrea Avena-Koenigsberger, Daniel Graham, Bratislav Mišić, 2020, Network Neuroscience.

Preference for higher-order luminance regularities in natural scenes

A. Chatterjee, H. Leder, Daniel J. Graham, 2013 .

An Island of Stability: Art Images and Natural Scenes – but Not Natural Faces – Show Consistent Esthetic Response in Alzheimer’s-Related Dementia

H. Leder, Daniel J. Graham, Simone Stockinger, 2013, Front. Psychol..

The Use of Visual Statistical Features in Empirical Aesthetics

Daniel J. Graham, 2019 .

Routing in the brain

Daniel J. Graham, Daniel J. Graham, 2014, Front. Comput. Neurosci..