Object representations from convolutional neural network (CNN) models of computer vision (LeCun, Bengio, & Hinton, 2015) were used to drive a cognitive model of decision making, the linear ballistic accumulator (LBA) model (Brown & Heathcote, 2008), to predict errors and response times (RTs) in a novel object recognition task in humans.…

In 2 ERP experiments participants read 4-word sequences presented for 200 ms (RPVP paradigm) and were required to decide whether the word sequences were grammatical or not. In Experiment 1, the word sequence consisted of either a grammatically correct sentence (e.g., "she can sing now") or an ungrammatical scrambled sequence (e.g.,…

Semantic ambiguity has been shown to slow comprehension, although it is unclear whether this ambiguity disadvantage is attributable to competition in semantic activation or difficulties in response selection. We tested the two accounts by examining semantic relatedness decisions to homonyms, or words with multiple unrelated meanings (e.g.,…

Humans have a limited capacity to identify concurrent, briefly presented targets. Recent experiments using concurrent rapid serial visual presentation of letters in horizontally displaced streams have documented a deficit specific to the stream in the right visual field. The cause of this deficit might be either prioritization of the left item…

Neuroscience suggests that the anterior cingulate cortex (ACC) is responsible for conflict monitoring and the detection of errors in cognitive tasks, thereby contributing to the implementation of attentional control. Though individual differences in frontally mediated goal maintenance have clearly been shown to influence outward behavior in…