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. 28, Issue 2 - February 2016


A Neural Correlate of Strategic Exploration at the Onset of Adolescence
pp. 199-209
Abstract | PDF (474.11 KB)
Phonological Processing in Primary Progressive Aphasia
pp. 210-222
Abstract | PDF (429.51 KB)
Timing Matters? Learning of Complex Spatiotemporal Sequences in Left-hemisphere Stroke Patients
pp. 223-236
Abstract | PDF (626.81 KB)
Withholding a Reward-driven Action: Studies of the Rise and Fall of Motor Activation and the Effect of Cognitive Depletion
pp. 237-251
Abstract | PDF (679.34 KB)
Visual Cortical Representation of Whole Words and Hemifield-split Word Parts
pp. 252-260
Abstract | PDF (465.43 KB)
The Value of Being Wrong: Intermittent Feedback Delivery Alters the Striatal Response to Negative Feedback
pp. 261-274
Abstract | PDF (931.08 KB)
Reduction of Dual-task Costs by Noninvasive Modulation of Prefrontal Activity in Healthy Elders
pp. 275-281
Abstract | PDF (357.46 KB)
Cortical Thickness in Fusiform Face Area Predicts Face and Object Recognition Performance
pp. 282-294
Abstract | PDF (470.41 KB)
Information Processing in the Mental Workspace Is Fundamentally Distributed
pp. 295-307
Abstract | PDF (864.03 KB)
Pupil Diameter Tracks the Exploration–Exploitation Trade-off during Analogical Reasoning and Explains Individual Differences in Fluid Intelligence
pp. 308-318
Abstract | PDF (483.12 KB)
The Speed of Serial Attention Shifts in Visual Search: Evidence from the N2pc Component
pp. 319-332
Abstract | PDF (482.3 KB)
Attentional Selection Can Be Predicted by Reinforcement Learning of Task-relevant Stimulus Features Weighted by Value-independent Stickiness
pp. 333-349
Abstract | PDF (1.26 MB)