We question the falsifiability of Tsuda's theory and emphasise the need for physiologically based, quantitative models of large scale cortical function that can be validated through experimental data. We outline such a model emphasising its verification through experimental data and possible avenues for testing Tsuda's predictions about nonlinearities in neural behaviour.

We consider the significance of high-dimensional transitory dynamics in the brain and mind. In particular, we highlight the roles of high-dimensional chaotic dynamical systems as an “adequate language” (Gelfand 1989), which should possess both explanatory and predictive power of description. We discuss the methods of description of dynamic behavior of the brain. These methods have been adopted to capture the averaged or deterministic complexity, and further to allow for discussion of a new approach to capture the complexity of the deviation from such an averaged complexity and also the complexity of interactive modes. We also give arguments in defense of our models for dynamic memory with chaotic itinerancy and Cantor coding. In addition, we discuss the reality that a model of the brain and mind should reflect.

Traditional approaches to human information processing tend to deal with perception and action planning in isolation, so that an adequate account of the perception-action interface is still missing. On the perceptual side, the dominant cognitive view largely underestimates, and thus fails to account for, the impact of action-related processes on both the processing of perceptual information and on perceptual learning. On the action side, most approaches conceive of action planning as a mere continuation of stimulus processing, thus failing to account for the goal-directedness of even the simplest reaction in an experimental task. We propose a new framework for a more adequate theoretical treatment of perception and action planning, in which perceptual contents and action plans are coded in a common representational medium by feature codes with distal reference. Perceived events (perceptions) and to-be-produced events (actions) are equally represented by integrated, task-tuned networks of feature codes – cognitive structures we call event codes. We give an overview of evidence from a wide variety of empirical domains, such as spatial stimulus-response compatibility, sensorimotor synchronization, and ideomotor action, showing that our main assumptions are well supported by the data.

That perception and action share abstract representations is a key insight into the organization of intelligence. However, organizing behavior requires additional representations and processes which are not “early” sensing or “late” motion: structures for sequencing actions and arbitrating between behavior subsystems. These systems are described as a supplement to the Theory of Event Coding (TEC).

Perceptual learning mechanisms derived from Hebb's theory of cell assemblies can generate prototypic representations capable of extending the representational power of TEC (Theory of Event Coding) event codes. The extended capability includes categorization that accommodates “family resemblances” and problem solving that uses cognitive maps.

In recent years, neurophysiological evidence has accumulated in favor of a common coding between perception and execution of action. We review findings from recent neuroimaging experiments in the action domain with three complementary perspectives: perception of action, covert action triggered by perception, and reproduction of perceived action (imitation). All studies point to the parietal cortex as a key region for body movement representation, both observed and performed.

A common code for integrating perceptions and actions was relevant for simple behavioral guidance well before the evolution of cognitive abilities. We review proposals that representation of to-be-produced events played important roles in early behavior, and evidence that the neural mechanisms supporting such rudimentary sensory predictions have been elaborated through evolution to support the cognitive codes addressed by TEC.

The theory of event coding by Hommel et al. proposes that feature binding is a central component of action planning. To evaluate the binding hypothesis, we consider findings from studies of action-perception interference and bimanual movements. We argue that although binding of action features may be a valuable concept, interference from partial feature overlap does not provide a parsimonious account for the observed phenomena.

Modified action, either artificially induced or occurring naturally during life-span, alters organization and processing of primary somatosensory cortex, thereby serving as a predictor of age-related changes. These findings, together with the interconnectedness between motor-sensory systems and temporally-distributed processing across hierarchical levels, throws into question a sharp division between early perception and cognition, and suggest that composite codes of perception and action might not be limited to higher areas.

The claim that perception and action are commonly coded because they are indistinguishable at the distal level is crucial for theories of cognition. However, the consequences of this claim run deep, and the Theory of Event Coding (TEC) is not up to the challenge it poses. We illustrate why through a brief review of the evidence that led to the motor theory of speech perception.

Natural language processing involves a tight coupling between action (the production of language) and perception (the comprehension of language). We argue that similar theoretical principles apply to language processing as to action/perception in general. Language production is not driven solely by the speaker's intentions; language comprehension is not only input-driven; production and perception use common representations. We will relate recent findings from our language production lab to the Theory of Event Coding (TEC)'s principle of feature binding.

The Theory of Event Coding (TEC) is a significant contribution to the study of purposeful perceptual behavior, and can be made more so by recognizing a major context (the work of Tolman, Liberman, Neisser); some significant problems (tightening predictions and defining distal stimuli); and an extremely important area of potential application (ongoing anticipation and perceptual inquiry, as in reading and movies).

Hommel et al. propose that action planning and perception utilize common resources. This implies perception should have intention-relative content. Data supporting this implication are presented. These findings challenge the notion of perception as “seeing.” An alternative is suggested (i.e., perception as distal control) that may provide a means of integrating representational and ecological approaches to the study of organism-environment coordination.

Hommel et al. emphasize that the Theory of Event Coding (TEC)'s utility is not its ability to be a new theory of cognition, but its ability to engender new thinking about new and old problems. In this commentary we use the TEC to re-examine a long-standing discrepancy in the attention literature.

We agree with the authors that an adequate account of the perception-action interface is needed. However, we believe that the answer will not be found in a common representational structure encoding distal events, as the authors propose, but in Gibson's notion of ecological information, which, as we demonstrate, specifies not only perspective but also prospective and retrospective states of affairs.

This commentary focuses on Hommel et al.'s inferences on action planning. It discusses the relevance of anticipated extrinsic movement effects for action control, the problems of a feature-based representation of actions, and the necessity of the acquisition of conditional movement-effect associations.

We discuss the relation of the Theory of Event Coding (TEC) to a computational model of expert perception, CHREST, based on the chunking theory. TEC's status as a verbal theory leaves several questions unanswerable, such as the precise nature of internal representations used, or the degree of learning required to obtain a particular level of competence: CHREST may help answer such questions.

Like the Theory of Event Coding (TEC), theories of executive functions depict cognition as a flexible and goal-directed system rather than a reflex-like one. Research on task-switching, a dominant paradigm in executive control, has revealed complex and some apparently counterintuitive results. Many of these are readily explained by assuming, like TEC, that cognitive control is based on selecting information from commensurate representations of stimuli and actions.

The target article can be strengthened by supplementing it with a better theory of mental representation. Given such a theory, there is reason to suppose that, first, even the most primitive representations are mostly of distal affairs; second, the most primitive representations also turn out to be directed two ways at once, both stating facts and directing action.

The integration of perceived events with appropriate action usually requires more flexibility to result in adaptive responses than Hommel et al. report in their selective review. The need for hierarchies of function that can intervene and the existence of diverse mediating brain mechanisms can be illustrated by the non-adaptive expression in psychiatric illness of negative priming, blocking, and affective responses.