Pessoa (2013) makes an impressive case that emotion, motivation, and cognition are neurally intertwined. Our commentary broadens the discussion to the functional, “mind” level. We argue that philosophical and computational considerations justify some modern “separatist” views. We highlight several psychological phenomena that illustrate independence, including affective and motivational reactions to rudimentary inputs, and the guiding role of such reactions in cognition.

The hypothesis of unconscious influences on complex behavior is observationally equivalent to the dissociability of cognition and metacognition (reportability). The target article convincingly argues that evidence for unconscious influence is limited by the quality of the metacognitive measure used. However, it understates the empirical evidence for unconscious influences and overlooks considerations of cognitive architecture that make cognitive/metacognitive dissociations likely.

Processing of facial expressions goes beyond simple pattern recognition. To elucidate this problem, Niedenthal et al. offer a model that identifies multiple embodied and disembodied routes for expression processing, and spell out conditions triggering use of different routes. I elaborate on this model by discussing recent research on emotional recognition in individuals with autism, who can use multiple routes of emotion processing, and consequently can show atypical and typical patterns of embodied simulation and mimicry.

We present a dynamical model of interaction between recognition memory and affect, focusing on the phenomenon of “warm glow of familiarity.” In our model, both familiarity and affect reflect quick monitoring of coherence in an attractor neural network. This model parsimoniously explains a variety of empirical phenomena, including mere-exposure and beauty-in-averages effects, and the speed of familiarity and affect judgments.

Much can be gained by specifying the operation of the emulation process. A brief review of studies from diverse domains, including complex motor-skill representation, emotion perception, and face memory, highlights that emulation theory offers precise explanations of results and novel predictions. However, the neural instantiation of the emulation process requires development to move the theory from armchair to laboratory.