Excerpt: Recent experimental work on imitation in infancy has challenged Piaget’s theory and timetable. Two aspects of Piaget’s work have been criticized: his contention that imitation of invisible gestures (i.e., gestures the imitator cannot see when he or she performs them) could not occur until the third quarter of the first year, and his contention that deferred imitation of novel sequences of actions could not occur until the beginning of the second year. The critics have marshalled empirical research that they interpret as showing invisible imitation in the neonatal period and deferred imitation at 6–9 months. This chapter argues that in both areas the empirical criticism of Piaget is not well founded. It removes a source of support for theories that attribute mental representation to young infants. In turn, it provides support for Piagetian theories that see mental representation as evolving gradually in the course of the first year. The chapter starts with a brief summary of Piaget’s theory to provide a context for his work on imitation. This summary is followed by an examination of the work on invisible imitation and deferred imitation.

Recognising and representing one’s self as distinct from others is a fundamental component of self-awareness. However, current theories of self-recognition are not embedded within global theories of cortical function and therefore fail to provide a compelling explanation of how the self is processed. We present a theoretical account of the neural and computational basis of self-recognition that is embedded within the free-energy account of cortical function. In this account one’s body is processed in a Bayesian manner as the most likely to be “me”. Such probabilistic representation arises through the integration of information from hierarchically organised unimodal systems in higher-level multimodal areas. This information takes the form of bottom-up “surprise” signals from unimodal sensory systems that are explained away by top-down processes that minimise the level of surprise across the brain. We present evidence that this theoretical perspective may account for the findings of psychological and neuroimaging investigations into self-recognition and particularly evidence that representations of the self are malleable, rather than fixed as previous accounts of self-recognition might suggest.

Key words: self-recognition, self-awareness, voice recognition, face recognition, body ownership, bayesian, free energy, predictive coding, prediction error, rubber hand illusion, enfacement

This chapter situates the conception of language (and communication) in enaction in the context of the research program of the cognitive sciences. It focuses on the formulation of the synthesis of hermeneutics and speech acts and the vision of language according to the metaphor of structural coupling. The exclusion of expressive speech acts in this design is problematized. An examination is offered of the critical steps to the theory of language as a reflection and the linguistic correspondence of cognitivism. We examine the foundations of the proposal in the line of language and social enaction as emergent phenomena which are not reducible to autopoiesis but which constitute a new neurophenomenological position in the pragmatic language dimension. A proposal is made for the integration of hermeneutic phenomenology with genetic and generative phenomenology in social semiotics. The inclusion of expressive speech acts based on the functions of language in the Habermas–Bühler line is also addressed. An opening is proposed of enaction to the expressive dimension of language and meaning holism with the referential use of language.

Key words: enaction, neurophenomenology, performative speech acts, expressive speech acts, background, meaning holism.

Constructive theories of brain function such as predictive coding posit that prior knowledge affects our experience of the world quickly and directly. However, it is yet unknown how swiftly prior knowledge impacts the neural processes giving rise to conscious experience. Here we used an experimental paradigm where prior knowledge augmented perception and measured the timing of this effect with magnetoencephalography (MEG). By correlating the perceptual benefits of prior knowledge with the MEG activity, we found that prior knowledge took effect in the time-window 80–95ms after stimulus onset, thus reflecting an early influence on conscious perception. The sources of this effect were localized to occipital and posterior parietal regions. These results are in line with the predictive coding framework.

Key words: predictive coding, contents of consciousness, meg, prior knowledge, conscious perception, cognitive penetrability

Sensory substitution constitutes an interesting domain of study to consider the philosopher’s classical question of distal attribution: how we can distinguish between a sensation and the perception of an object that causes this sensation. We tested the hypothesis that distal attribution consists of three distinct components: an object, a perceptual space, and a coupling between subjects’ movements and stimulation. We equipped sixty participants with a visual-to-auditory substitution device, without any information about it. The device converts the video stream produced by a head-mounted camera into a sound stream. We investigated several experimental conditions: the existence or not of a correlation between movements and resulting stimulation, the direct or indirect manipulation of an object, and the presence of a background environment. Participants were asked to describe their impressions by rating their experiences in terms of seven possible “scenarios”. These scenarios were carefully chosen to distinguish the degree to which the participants attributed their sensations to a distal cause. Participants rated the scenarios both before and after they were given the possibility to interrupt the stimulation with an obstacle. We were interested in several questions. Did participants extract laws of co-variation between their movements and resulting stimulation? Did they deduce the existence of a perceptual space originating from this coupling? Did they individuate objects that caused the sensations? Whatever the experimental conditions, participants were able to establish that there was a link between their movements and the resulting auditory stimulation. Detection of the existence of a coupling was more frequent than the inferences of distal space and object.

Key words: sensory substitution, distal attribution, space, object, objecthood, sensorimotor theory, sensorimotor coupling.

Intuition suggests that perception follows sensation and therefore bodily feelings originate in the body. However, recent evidence goes against this logic: interoceptive experience may largely reflect limbic predictions about the expected state of the body that are constrained by ascending visceral sensations. In this Opinion article, we introduce the Embodied Predictive Interoception Coding model, which integrates an anatomical model of corticocortical connections with Bayesian active inference principles, to propose that agranular visceromotor cortices contribute to interoception by issuing interoceptive predictions. We then discuss how disruptions in interoceptive predictions could function as a common vulnerability for mental and physical illness.

Neurophenomenological (NP) methods integrate objective and subjective data in ways that retain the statistical power of established disciplines (like cognitive science) while embracing the value of first-person reports of experience. The present paper positions neurophenomenology as an approach that pulls from traditions of cognitive science but includes techniques that are challenging for cognitive science in some ways. A baseline study is reviewed for “lessons learned,” that is, the potential methodological improvements that will support advancements in understanding consciousness and cognition using neurophenomenology. These improvements, we suggest, include (1) addressing issues of interdisciplinarity by purposefully and systematically creating and maintaining shared mental models among research team members; (2) making sure that NP experiments include high standards of experimental design and execution to achieve variable control, reliability, generalizability, and replication of results; and (3) conceiving of phenomenological interview techniques as placing the impetus on the interviewer in interaction with the experimental subject.

The ganglion cell density of the quail’s retina was studied in sections and whole mounts. Two regions of high ganglion cell density were found, corresponding to an afoveate area centralis and an area dorsalis. Oil droplets were found to be isotropically distributed throughout the retina. It is proposed that the significance of such retinal regional specialization, in comparison to similar studies in the pigeon and the chick, is that regional specialization in the avian retina is more closely related to feeding habits than to phylogenetic descendence.

This chapter presents a theoretical model of judicial reasoning that satisfactorily integrates partially provided explanations by three different theoretical research paradigms: philosophy of law, legal epistemology, and artificial intelligence and law. The model emerges from the application of knowledge elicitation and knowledge representation methods, and uses the theory of neural networks as a theoretical metaphor to generate explanations and visual representations. The epistemological status of the model is of constructivist stripe: it is in line with the contemporary research tendencies within cognitive psychology that propose that judicial reasoning may be better understood if a coherentist and a connectionist approach is taken.

Key words: judicial reasoning, philosophy of law, legal epistemology, artificial intelligence, neural networks

One of the most popular tacks taken to explain cognitive processes likens them to the operations of a digital computer. Indeed, the tasks for the cognitive scientist and the artificial intelligence scientist are often seen as indistinguishable: to understand how a machine or a brain “can store past information about the world and use that memory to abstract meaning from its percepts” (Solso, 1979, p. 425). The fact that there are machines that appear to do this, to varying degrees of success, is often taken to imply, almost by default, that cognition would have to embody the same steps in order to achieve the same results. In what folIows, we outline our objections to this attitude and briefly consider some alternatives.