We concur with Sommer et al. that the processing manifested by P300 is not necessarily conscious. We also note that Verleger is yet again adducing evidence that contradicts an assertion we never made.

A. G. Greenwald and H. G. Shulman (1973) found that 2 tasks characterized by ideomotor (IM) compatibility could be perfectly timeshared (i.e., performed simultaneously without mutual interference). The 2 tasks were pronouncing “A” or “B” in response to hearing those letter names, and making a manual left or right response to seeing a left- or right-positioned arrow. M.-C. Lien, R. W. Proctor, and P. A. Allen (2002) did not replicate Greenwald and Shulman’s result, and concluded that their finding of perfect (...) timesharing of 2 IM-compatible tasks might not be replicable. In the present research, Experiment 1 replicated Greenwald and Shulman’s 1973 finding while also supporting the conclusion that Lien et al.’s nonreplication was due to their not instructing subjects to make 2 responses simultaneously in their timeshared task. Experiment 2 again replicated the perfect timesharing finding, using an alternative control procedure that mixed manual and vocal tasks in the same block. (shrink)

Tested the 2-process theory of detection, search, and attention presented by the current authors in a series of experiments. The studies demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of categories is (...) shown to improve controlled search performance. A general framework for human information processing is proposed. The framework emphasizes the roles of automatic and controlled processing. The theory is compared to and contrasted with extant models of search and attention. (shrink)

This introductory chapter attempts to clarify the philosophical, empirical, and theoretical bases on which a cognitive neuroscience approach to consciousness can be founded. We isolate three major empirical observations that any theory of consciousness should incorporate, namely (1) a considerable amount of processing is possible without consciousness, (2) attention is a prerequisite of consciousness, and (3) consciousness is required for some specific cognitive tasks, including those that require durable information maintenance, novel combinations of operations, or the spontaneous generation of intentional (...) behavior. We then propose a theoretical framework that synthesizes those facts: the hypothesis of a global neuronal workspace. This framework postulates that, at any given time, many modular cerebral networks are active in parallel and process information in an unconscious manner. An information becomes conscious, however, if the neural population that represents it is mobilized by top-down attentional amplification into a brain-scale state of coherent activity that involves many neurons distributed throughout the brain. The long-distance connectivity of these `workspace neurons' can, when they are active for a minimal duration, make the information available to a variety of processes including perceptual categorization, long-term memorization, evaluation, and intentional action. We postulate that this global availability of information through the workspace is what we subjectively experience as a conscious state. A complete theory of consciousness should explain why some cognitive and cerebral representations can be permanently or temporarily inaccessible to consciousness, what is the range of possible conscious contents, how they map onto specific cerebral circuits, and whether a generic neuronal mechanism underlies all of them. We confront the workspace model with those issues and identify novel experimental predictions. Neurophysiological, anatomical, and brain-imaging data strongly argue for a major role of prefrontal cortex, anterior cingulate, and the areas that connect to them, in creating the postulated brain-scale workspace. (shrink)