Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway

Fractionating the anterior temporal lobe: MVPA reveals differential responses to input and conceptual modality

(2017) Charlotte Murphy et al.   NEUROIMAGE

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

(2016) Radoslaw Martin Cichy et al.   Scientific Reports

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

(2015) U. Guclu et al.   JOURNAL OF NEUROSCIENCE

The perirhinal cortex and conceptual processing: Effects of feature-based statistics following damage to the anterior temporal lobes

(2015) Paul Wright et al.   NEUROPSYCHOLOGIA

Understanding What We See: How We Derive Meaning From Vision

(2015) Alex Clarke et al.   TRENDS IN COGNITIVE SCIENCES

Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing

(2015) Nikolaus Kriegeskorte   Annual Review of Vision Science

Predicting the Time Course of Individual Objects with MEG

(2014) Alex Clarke et al.   CEREBRAL CORTEX

Object-Specific Semantic Coding in Human Perirhinal Cortex

(2014) A. Clarke et al.   JOURNAL OF NEUROSCIENCE

A Toolbox for Representational Similarity Analysis

(2014) Hamed Nili et al.   PLoS Computational Biology

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

(2014) Charles F. Cadieu et al.   PLoS Computational Biology

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation

(2014) Seyed-Mahdi Khaligh-Razavi et al.   PLoS Computational Biology

Connecting functional brain imaging and Parallel Distributed Processing

(2014) Christopher R. Cox et al.   Language Cognition and Neuroscience

Dynamic information processing states revealed through neurocognitive models of object semantics

(2014) Alex Clarke   Language Cognition and Neuroscience

Objects and Categories: Feature Statistics and Object Processing in the Ventral Stream

(2013) Lorraine K. Tyler et al.   JOURNAL OF COGNITIVE NEUROSCIENCE

Representational Similarity Analysis Reveals Commonalities and Differences in the Semantic Processing of Words and Objects

(2013) B. J. Devereux et al.   JOURNAL OF NEUROSCIENCE

Neurocognitive insights on conceptual knowledge and its breakdown

(2013) M. A. Lambon Ralph   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Representational geometry: integrating cognition, computation, and the brain

(2013) Nikolaus Kriegeskorte et al.   TRENDS IN COGNITIVE SCIENCES

From Perception to Conception: How Meaningful Objects Are Processed over Time

(2012) Alex Clarke et al.   CEREBRAL CORTEX

The Evolution of Meaning: Spatio-temporal Dynamics of Visual Object Recognition

(2010) Alex Clarke et al.   JOURNAL OF COGNITIVE NEUROSCIENCE

Integrating Visual and Tactile Information in the Perirhinal Cortex

(2009) J. S. Holdstock et al.   CEREBRAL CORTEX

Where Is the Semantic System? A Critical Review and Meta-Analysis of 120 Functional Neuroimaging Studies

(2009) Jeffrey R. Binder et al.   CEREBRAL CORTEX

Semantic Processing in the Anterior Temporal Lobes: A Meta-analysis of the Functional Neuroimaging Literature

(2009) M. Visser et al.   JOURNAL OF COGNITIVE NEUROSCIENCE

Shared features dominate semantic richness effects for concrete concepts

(2008) Ray Grondin et al.   JOURNAL OF MEMORY AND LANGUAGE