Chen Zhao

Even though in physics “time” is considered to be continuous, how the brain and mind deal with time might be different. It has been proposed that in cognition, time windows provide logistic platforms for information processing, such as the low‐frequency 3‐s time window. The following series of behavioral experiments may shed light on the dynamics within such a time window. Using a duration reproduction paradigm, we first replicated a pattern of reproduced duration observed in a previous single‐case study. Specifically, the reproduction increases as the pause between standard duration and reproduction increases, but only within the time window of some 3 s; when the pause goes beyond 4 s, the reproduction reaches a plateau of a subjective set‐point. This increasing phase is named the “temporal transition zone.” Three more experiments were performed to test the features of the transition zone as a low‐frequency time window. It is also observed with different standard durations (2, 3, 4.5 s, in Experiment 2), and even when the frequency of the auditory stimuli was different in standard and reproduction (300 Hz in standard duration and 400 Hz in reproduction, in Experiment 4). The transition zone was observed only with pause durations of 2 to 3 s; when the shortest pause duration was 5 s, the transition zone was no longer observed, and the reproduction was stable at the subjective set‐point (in Experiment 3). Taken together, we suggest that the temporal transition zone indicates a pre‐semantic logistic platform to organize and process the information flow; in such a time window of some 3 seconds, the identity of an ongoing event is substantiated, building the “subjective present.”

Previous study indicates that there are two distinct behavioral patterns in the sensory‐motor synchronization task with short stimulus onset asynchrony (SOA; 2–3 s) or long SOA (beyond 4 s). However, the underlying neural indicators and mechanisms have not been elucidated. The present study applied magnetoencephalography (MEG) technology to examine the functional role of several oscillations (beta, gamma, and mu) in sensorimotor synchronization with different SOAs to identify a reliable neural indicator. During MEG recording, participants underwent a listening task without motor response, a sound‐motor synchronization task, and a motor‐only continuation task. These tasks were used to explore whether and how the activity of oscillations changes across different behavioral patterns with different tempos. Results showed that during both the listening and the synchronization task, the beta oscillation changes with the tempo. Moreover, the event‐related synchronization of beta oscillations was significantly correlated with motor timing during synchronization. In contrast, mu activity only changes with the tempo in the synchronization task, while the gamma activity remains unchanged. In summary, the current study indicates that beta oscillation could be an indicator of behavioral patterns between fast tempo and slow tempo in sensorimotor synchronization. Also, it is likely to be the potential mechanism of maintaining rhythmic continuous movements with short SOA, which is embedded within the 3 s time window.

The use of visual representations of time is common in both research and daily life, with progress icons, such as bars and rings, being popular examples. Despite some studies investigating the advantage of different shapes, there has been no consistent result from questionnaires. This study aims to investigate this topic by using an objective temporal reproduction task to compare the potential difference between short and long waiting times, as evidence indicates that the temporal machinery could be different within and beyond 2–3 s. The study also explores the role of the percentage of progress icons. Two groups of participants first experienced a short (3 s) or long (15 s) duration with a dynamic progress icon, which varied by shape (bar vs. ring) and progress percentage (20% vs. 80%). Then they reproduced the duration with a button, seeing a neutral grey square on the screen. The results revealed that the reproduced durations of bars were significantly shorter than those of rings, but only for the long duration condition (15 s). Additionally, a larger progress percentage led to longer reproductions for both 3 s and 15 s. These findings suggest that the spatial configuration is significant when the waiting time is relatively long, supporting the hierarchical model of temporal perception. Overall, this study contributes to both industrial design and our understanding of the cognitive mechanism of temporal perception.

The capacity of the human brain to detect unattended deviant information from frequent information in our environment shows a hemispheric asymmetry, with stronger brain activation in the right temporal area. This lateralization is distinct from the functional left‐ward asymmetry of auditory information processing.

It is maintained that a classification or taxonomy of functions is required to reflect cognitive functions. On the basis of the epistemological position of a pragmatic monism, it can be stated that cognitive functions are evolutionary products, and furthermore that their availability is dependent on the structural and operational integrity of neural modules and networks. Loss of functions as a consequence of local injuries or the disruption of neural networks can be used to develop a catalog of functions. The logic is as follows: the loss of a function is a proof of its existence. On a general level, two complementary domains of functions are distinguished in this taxonomy. The first domain consists of those functions that represent the content of subjective phenomena, such as percepts in different modalities, memories, emotions, volitions, intentions, or speech acts (the “what”). The second consists of those functions that make conscious content possible as a necessary condition, such as activation (being modulated for instance by the circadian rhythm), the temporal control of functions (on different time‐scales using distinct neural algorithms), or attentional mechanisms (for instance spatial attention under endogenous or exogenous control), and we refer to these functions as logistic functions (the “how”). Complementarity as a generative principle is a prime characteristic of this taxonomy with both content and logistic functions.

The experimental paradigm of temporal reproduction has provided unique insights into the temporal machinery of cognitive processes. Both behavioral observations and electrophysiological methods with this paradigm indicate a time window of some 3 s.

This is the claim: Human knowledge expresses itself in three different modes: explicit, implicit, and sensory (e.g., visual) knowledge. The reference to knowledge as explicit knowledge only (as it is usually done) neglects the other modes of knowledge. Instead of using the noun “knowledge,” it is suggested that we use “knowing” as a term to stress the active mode in cognition. The three modes of knowing are reflected in different mechanisms of cognitive and neural processing; these can already be observed in classical documents of humankind. This unity of the different modes of knowing can also be extracted from cultural artifacts such as poetry. Although possessing different characteristics, the three modes of knowing are related to each other in a complementary way, thus providing an integrative network for cognition. We suggest that a unifying frame of the modes of knowing lies in aesthetic principles. These different modes of knowing with their unifying frame reflect some general features of cognition. We stress that basic concepts in “artificial or machine intelligence” do not match at all human modes of knowing.