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Rhythm perception depends on the ability to predict the onset of rhythmic events. Previous studies indicate beta band modulation is involved in predicting the onset of auditory rhythmic events (Fujioka et al., 2009, 2012; Snyder & Large, 2005). We sought to determine if similar processes are recruited for prediction of visual rhythms by investigating whether beta band activity plays a role in a modality‐dependent manner for rhythm perception. We looked at electroencephalography time–frequency neural correlates of prediction using an omission paradigm with auditory and visual rhythms. By using omissions, we can separate out predictive timing activity from stimulus‐driven activity. We hypothesized that there would be modality‐independent markers of rhythm prediction in induced beta band oscillatory activity, and our results support this hypothesis. We find induced and evoked predictive timing in both auditory and visual modalities. Additionally, we performed an exploratory‐independent components‐based spatial clustering analysis, and describe all resulting clusters. This analysis reveals that there may be overlapping networks of predictive beta activity based on common activation in the parietal and right frontal regions, auditory‐specific predictive beta in bilateral sensorimotor regions, and visually specific predictive beta in midline central, and bilateral temporal/parietal regions. This analysis also shows evoked predictive beta activity in the left sensorimotor region specific to auditory rhythms and implicates modality‐dependent networks for auditory and visual rhythm perception.

 

Abstract Humans and other complex organisms exhibit intelligent behaviors as individual agents and as groups of coordinated agents. They can switch between independent and collective modes of behavior, and flexible switching can be advantageous for adapting to ongoing changes in conditions. In the present study, we investigated the flexibility between independent and collective modes of behavior in a simulated social foraging task designed to benefit from both modes: distancing among ten foraging agents promoted faster detection of resources, whereas flocking promoted faster consumption. There was a tradeoff between faster detection versus faster consumption, but both factors contributed to foraging success. Results showed that group foraging performance among simulated agents was enhanced by  loose coupling  that balanced distancing and flocking among agents and enabled them to fluidly switch among a variety of groupings. We also examined the effects of more sophisticated cognitive capacities by studying how human players improve performance when they control one of the search agents. Results showed that human intervention further enhanced group performance with loosely coupled agents, and human foragers performed better when coordinating with loosely coupled agents. Humans players adapted their balance of independent versus collective search modes in response to the dynamics of simulated agents, thereby demonstrating the importance of adaptive flexibility in social foraging. 

Abstract Peak human performance—whether of Olympic athletes, Nobel prize winners, or you cooking the best dish you’ve ever made—depends on skill. Skill is at the heart of what it means to excel. Yet, the fixity of skilled behavior can sometimes make it seem a lower-level activity, more akin to the movements of an invertebrate or a machine. Peak performance in elite athletes is often described, for example, as “automatic” by those athletes: “The most frequent response from participants (eight athletes and one coach) when describing the execution of a peak performance was the automatic execution of performance” (Anderson et al. 2014). While the automaticity of skilled behavior is widely acknowledged, some worry that too much automaticity in skill would challenge its ability to exhibit human excellence. And so two camps have developed: those who focus on the automaticity of skilled behavior, the “habitualists,” and those who focus on the higher-level cognition behind peak performance, the “intellectualists.” We take a different tack. We argue that skilled behavior weaves together automaticity and higher-level cognition, which we call “pluralism.” That is, we argue that automaticity and higher-level cognition are both normal features of skilled behavior that benefit skilled behavior. This view is hinted at in other quotes about automaticity in skill—while expert gamers describe themselves as “playing with” automaticity (Taylor and Elam 2018), expert musicians are said to balance automaticity with creativity through performance cues: “Performance cues allow the musician to attend to some aspects of the performance while allowing others to be executed automatically” (Chaffin and Logan 2006). We describe in this paper three ways that higher-level cognition and automaticity are woven together. The first two, level pluralism and synchronic pluralism , are described in other papers, albeit under different cover. We take our contribution to be both distinguishing the three forms and contributing the third, diachronic pluralism. In fact, we find that diachronic pluralism presents the strongest case against habitualism and intellectualism, especially when considered through the example of strategic automaticity . In each case of pluralism, we use research on the presence or absence of attention (e.g., in mind wandering) to explore the presence or absence of higher-level cognition in skilled behavior. 

If our choices make us who we are, then what does that mean when these choices are made in the human-machine interface? Developing a clear understanding of how human decision making is influenced by automated systems in the environment is critical because, as human-machine interfaces and assistive robotics become even more ubiquitous in everyday life, many daily decisions will be an emergent result of the interactions between the human and the machine – not stemming solely from the human. For example, choices can be influenced by the relative locations and motor costs of the response options, as well as by the timing of the response prompts. In drift diffusion model simulations of response-prompt timing manipulations, we find that it is only relatively equibiased choices that will be successfully influenced by this kind of perturbation. However, with drift diffusion model simulations of motor cost manipulations, we find that even relatively biased choices can still show some influence of the perturbation. We report the results of a two-alternative forced-choice experiment with a computer mouse modified to have a subtle velocity bias in a pre-determined direction for each trial, inducing an increased motor cost to move the cursor away from the pre-designated target direction. With queries that have each been normed in advance to be equibiased in people’s preferences, the participant will often begin their mouse movement before their cognitive choice has been finalized, and the directional bias in the mouse velocity exerts a small but significant influence on their final choice. With queries that are not equibiased, a similar influence is observed. By exploring the synergies that are developed between humans and machines and tracking their temporal dynamics, this work aims to provide insight into our evolving decisions. 

Functional near-infrared spectroscopy (fNIRS) provides an alternative to functional magnetic resonance imaging (fMRI) for assessing changes in cortical hemodynamics. To establish the utility of fNIRS for measuring differential recruitment of the motor network during the production of timing-based actions, we measured cortical hemodynamic responses in 10 healthy adults while they performed two versions of a finger-tapping task. The task, used in an earlier fMRI study (Jantzen et al., 2004), was designed to track the neural basis of different timing behaviors. Participants paced their tapping to a metronomic tone, then continued tapping at the established pace without the tone. Initial tapping was either synchronous or syncopated relative to the tone. This produced a 2 × 2 design: synchronous or syncopated tapping and pacing the tapping with or continuing without a tone. Accuracy of the timing of tapping was tracked while cortical hemodynamics were monitored using fNIRS. Hemodynamic responses were computed by canonical statistical analysis across trials in each of the four conditions. Task-induced brain activation resulted in significant increases in oxygenated hemoglobin concentration (oxy-Hb) in a broad region in and around the motor cortex. Overall, syncopated tapping was harder behaviorally and produced more cortical activation than synchronous tapping. Thus, we observed significant changes in oxy-Hb in direct relation to the complexity of the task. 

When people interact, aspects of their speech and language patterns often converge in inter- actions involving one or more languages. Most studies of speech convergence in conversations have examined monolingual interactions, whereas most studies of bilingual speech conver- gence have examined spoken responses to prompts. However, it is not uncommon in multi- lingual communities to converse in two languages, where each speaker primarily produces only one of the two languages. The present study examined complexity matching and lexical matching as two measures of speech convergence in conversations spoken in English, Spanish, or both languages. Complexity matching measured convergence in the hierarchical timing of speech, and lexical matching measured convergence in the frequency distributions of lemmas produced. Both types of matching were found equally in all three language conditions. Taken together, the results indicate that convergence is robust to monolingual and bilingual interac- tions because it stems from basic mechanisms of coordination and communication.