The interpretive-sensory access theory of self-knowledge claims that we come to know our own minds by turning our capacities for knowing other minds onto ourselves. Peter Carruthers argues that two of the theory’s advantages are empirical adequacy and scientific fruitfulness: it leaves few of the old discoveries unexplained and makes new predictions that provide a framework for new discoveries. A decade has now passed since the theory’s introduction. I review the most important developments during this time period regarding the two (...) criteria: whether the theory’s six main predictions were supported, and whether the theory’s predictions contributed to new empirical studies. I argue that the interpretive-sensory access theory of self-knowledge remains empirically adequate and scientifically fruitful. (shrink)

In this essay, we examine the use of resting state fMRI data for psychological inferences. We argue that resting state studies hold the paired promises of discovering novel functional brain networks, and of avoiding some of the limitations of task-based fMRI. However, we argue that the very features of experimental design that enable resting state fMRI to support exploratory science also generate a novel confound. We argue that seemingly key features of resting state functional connectivity networks may be artefacts resulting (...) from sampling a ‘mixture distribution’ of diverse brain networks active at different times during the scan. We explore the consequences of this ‘mixture view’ for attempts to theorize about the cognitive or psychological functions of resting state networks, as well as the value of exploratory experiments. (shrink)

Descriptive Experience Sampling (DES) attempts to apprehend in high fidelity pristine inner experience (the naturally-occurring, directly-apprehended phenomena that fill our waking lives, including inner speaking, visual imagery, sensory awarenesses, etc.). Previous DES investigations had shown individual differences in the frequency of inner speaking ranging from nearly zero to nearly 100% of the time. In early 2020, the Internet was ablaze with comments expressing astonishment that constant internal monologue was not universal. We invited Lena, a university student who believed she had (...) constant internal monologue, to participate in a DES analog of a pre-registered study: We would announce, on the Internet, that we would conduct a fully transparent DES investigation and roll out videos of the DES interviews (and annotated transcripts) as they occurred in (almost) real-time, something like “reality TV about inner experience,” so that spectators could examine for themselves our characterizations of Lena and how we arrived at them. We describe here the procedure and its findings: Lena did _not_ have frequent internal monologue (contrary to her expectations); she _did_ have frequent visual imagery (to her surprise); and we speculated about the frequent presence of two simultaneous “centers of gravity” of her experience. The entire procedure is available for inspection. (shrink)

Movies and narratives are increasingly utilized as stimuli in functional magnetic resonance imaging, magnetoencephalography, and electroencephalography studies. Emotional reactions of subjects, what they pay attention to, what they memorize, and their cognitive interpretations are all examples of inner experiences that can differ between subjects during watching of movies and listening to narratives inside the scanner. Here, we review literature indicating that behavioral measures of inner experiences play an integral role in this new research paradigm via guiding neuroimaging analysis. We review (...) behavioral methods that have been developed to sample inner experiences during watching of movies and listening to narratives. We also review approaches that allow for joint analyses of the behaviorally sampled inner experiences and neuroimaging data. We suggest that building neurophenomenological frameworks holds potential for solving the interrelationships between inner experiences and their neural underpinnings. Finally, we tentatively suggest that recent developments in machine learning approaches may pave way for inferring different classes of inner experiences directly from the neuroimaging data, thus potentially complementing the behavioral self-reports. (shrink)