208 pp. per issue
8 1/2 x 11, illustrated
2014 Impact factor:

Journal of Cognitive Neuroscience



Journal of Cognitive Neuroscience investigates brain–behavior interaction and promotes lively interchange among the mind sciences. Contributions address both descriptions of function and underlying brain events and reflect the interdisciplinary nature of the field, covering developments in neuroscience, neuropsychology, cognitive psychology, neurobiology, linguistics, computer science, and philosophy. JOCN is an online-only publication and is published by the MIT Press and the Cognitive Neuroscience Institute.

Table of Contents

Vol. 31, Issue 1 - January 2019


Conscious Perception: Time for an Update?
pp. 1-7
Abstract | PDF (404.94 KB)
Subgoal- and Goal-related Reward Prediction Errors in Medial Prefrontal Cortex
pp. 8-23
Abstract | PDF (1.21 MB)
The Hippocampus Generalizes across Memories that Share Item and Context Information
pp. 24-35
Abstract | PDF (2.67 MB)
Testing the Possibility of Model-based Pavlovian Control of Attention to Threat
pp. 36-48
Abstract | PDF (924.94 KB)
Spatial Frequency Tolerant Visual Object Representations in the Human Ventral and Dorsal Visual Processing Pathways
pp. 49-63
Abstract | PDF (1.67 MB)
Development of Prefrontal Cortical Connectivity and the Enduring Effect of Learned Value on Cognitive Control
pp. 64-77
Abstract | PDF (1.17 MB)
Individual Differences in Resting-state Brain Rhythms Uniquely Predict Second Language Learning Rate and Willingness to Communicate in Adults
pp. 78-94
Abstract | PDF (759.66 KB)
Conceptual and Perceptual Dimensions of Word Meaning Are Recovered Rapidly and in Parallel during Reading
pp. 95-108
Abstract | PDF (3.37 MB)
Categorization Goals Modulate the Use of Natural Scene Statistics
pp. 109-125
Abstract | PDF (2.03 MB)
Prefrontal and Hippocampal Structure Predict Statistical Learning Ability in Early Childhood
pp. 126-137
Abstract | PDF (1.32 MB)
An Analysis of the Brain Systems Involved with Producing Letters by Hand
pp. 138-154
Abstract | PDF (2.21 MB)
A Varying Role for Abstraction in Models of Category Learning Constructed from Neural Representations in Early Visual Cortex
pp. 155-173
Abstract | PDF (2.7 MB)