Two decades ago, Rolf Landauer (1991) argued that “information is physical” and ought to have a role in the scientific analysis of reality comparable to that of matter, energy, space and time. This would also help to bridge the gap between biology and mathematics and physics. Although it can be argued that we are living in the ‘golden age’ of biology, both because of the great challenges posed by medicine and the environment and the significant advances that have been made—especially (...) in genetics and molecular and cell biology—we feel that information as an essential aspect of life has been neglected, or at least misunderstood. We therefore summon Maxwell’s Demon and its distant relative the ratchet, and apply these to biology. (shrink)

A common misunderstanding of the selected effects theory of function is that natural selection operating over an evolutionary time scale is the only functionbestowing process in the natural world. This construal of the selected effects theory conflicts with the existence and ubiquity of neurobiological functions that are evolutionary novel, such as structures underlying reading ability. This conflict has suggested to some that, while the selected effects theory may be relevant to some areas of evolutionary biology, its relevance to neuroscience is (...) marginal. This line of reasoning, however, neglects the fact that synapses, entire neurons, and potentially groups of neurons can undergo a type of selection analogous to natural selection operating over an evolutionary time scale. In the following, I argue that neural selection should be construed, by the selected effect theorist, as a distinct type of function-bestowing process in addition to natural selection. After explicating a generalized selected effects theory of function and distinguishing it from similar attempts to extend the selected effects theory, I do four things. First, I show how it allows one to identify neural selection as a distinct function-bestowing process, in contrast to other forms of neural structure formation such as neural construction. Second, I defend the view from one major criticism, and in so doing I clarify the content of the view. Third, I examine drug addiction to show the potential relevance of neural selection to neuroscientific and psychological research. Finally, I endorse a modest pluralism of function concepts within biology. (shrink)

The abstract basis of modern computation is the formal description of a finite state machine, the Universal Turing Machine, based on manipulation of integers and logic symbols. In this contribution to the discourse on the computer-brain analogy, we discuss the extent to which analog computing, as performed by the mammalian brain, is like and unlike the digital computing of Universal Turing Machines. We begin with ordinary reality being a permanent dialog between continuous and discontinuous worlds. So it is with computing, (...) which can be analog or digital, and is often mixed. The theory behind computers is essentially digital, but efficient simulations of phenomena can be performed by analog devices; indeed, any physical calculation requires implementation in the physical world and is therefore analog to some extent, despite being based on abstract logic and arithmetic. The mammalian brain, comprised of neuronal networks, functions as an analog device and has given rise to artificial neural networks that are implemented as digital algorithms but function as analog models would. Analog constructs compute with the implementation of a variety of feedback and feedforward loops. In contrast, digital algorithms allow the implementation of recursive processes that enable them to generate unparalleled emergent properties. We briefly illustrate how the cortical organization of neurons can integrate signals and make predictions analogically. While we conclude that brains are not digital computers, we speculate on the recent implementation of human writing in the brain as a possible digital path that slowly evolves the brain into a genuine (slow) Turing machine. (shrink)

Is aesthetics a product of evolution? Are human aesthetic behaviors in fact evolutionary adaptations? The creation of artistic objects and experiences is an important aesthetic behavior. But so is the perception of aesthetic phenomena qua aesthetic. The question of evolutionary aesthetics is whether humans have evolved the capacity not only to make beautiful things but also to appreciate the aesthetic qualities in things. Are our near-universal love of music and cute baby animals essential to our species’ evolutionary development, which took (...) place over thousands of years? In other words, do aesthetic practice and appreciation help people to survive or reproduce? Do aesthetic behaviors help to propel natural selection? If so, what does that tell us about ourselves as human beings? What does it tell us about art, our other aesthetic practices, and aesthetic experience? (shrink)

Ce texte a déjà paru dans Recherches en didactique des sciences et des technologies, N° 4, 2012. Nous remercions Maryline Coquidé, Michèle Dell'Angelo, Stanislas Dorey, Corinne Fortin, Magali Gallezot, Sandrine Henocq, Faouzia Kalali, Jean-Marc Lange, Guy Rumelhard et la RDST de nous avoir autorisé à le reproduire ici. Résumé : Les travaux de la biologie intégrative remettent en cause le déterminisme strict de l'organisation spatiale et temporelle du vivant. Ce texte, travail collectif de notre (...) - Biologie – Nouvel article.

Evolutionary Aesthetics is a bourgeoning and thriving sub-field of Aesthetics, the main aim of which is “the importation of aesthetics into natural sciences, and especially its integration into the heuristic of Darwin’s evolutionary theory.” Scholars working in the field attempt to determine through the adoption of an interdisciplinary research methodology whether and to what extent Darwinian evolution can shed light on our capacity to have aesthetic experiences, make aesthetic judgments (both of art and natural beauty), and produce literary, visual, musical (...) artworks. Notwithstanding Evolutionary Aesthetics’ growing popularity in the past two decades, a look into the state of current research suggests a significant degree of haziness in the field from both epistemological-methodological and theoretical points of view. The main aim of the present paper is to make a first step towards a revision and extension of the discipline by assessing the role and potential of epigenetics in evolutionarily inspired aesthetic research. Epigenetics is among the youngest and most fascinating research fields in contemporary biology. But one of the most significant occurrences of the word “epigenesis” (the closest “ancestor” of contemporary “epigenetics”) is in Immanuel Kant’s third Critique, his aesthetic masterpiece. What might be the relationship between epigenetics and aesthetics? What is the role of epigenetic mechanisms in the development and functioning of aesthetic behavior in humans? (shrink)

Whole brain failure constitutes the diagnostic criterion for death determination in most clinical settings across the globe. Yet the conceptual foundation for its adoption was slow to emerge, has evoked extensive scientific debate since inception, underwent policy revision, and remains contentious in praxis even today. Complications result from the need to relate a unitary construal of the death event with an adequate account of organismal integration and that of the human organism in particular. Advances in the neuroscience of higher human (...) faculties, such as the self, personal identity, and consciousness, and dynamical philosophy of science accounts, however, are yielding a portrait of higher order global integration shared between body and brain. Such conceptual models of integration challenge a praxis relying exclusively on a neurological criterion for death. (shrink)

This is the first of two papers in which we propose an evolutionary route for the transition from sensory processing to unlimited experiencing, or basic consciousness. We argue that although an evolutionary analysis does not provide a formal definition and set of sufficient conditions for consciousness, it can identify crucial factors and suggest what evolutionary changes enabled the transition. We believe that the raw material from which feelings were molded by natural selection was a global sensory state that we call (...) overall sensation, which is a by-product of the incessant activity of the highly interconnected nervous systems that characterize all neural animals. We argue that global sensory states generated limited experiencing once they became coupled to the simplest kinds of nervous-system-mediated learning, a coupling that occurred in the most ancient taxa of neural animals, which were similar to present-day cnidarians and ctenophores. In such animals, limited experiencing involves a small number of persistent global sensory states. These sensory states, however, do not have a function and do not act as motivational states. As we argue in the next paper, with the evolution of associative learning they evolved into systems that gave animals basic consciousness. (shrink)

The present dissertation starts from the general claim that neuroscience is not neutral, with regard to theoretical questions like the nature of consciousness, but it needs to be complemented with dedicated conceptual analysis. Specifically, the argument for this thesis is that the combination of empirical and conceptual work is a necessary step for assessing the significant questions raised by the most recent study of the brain. Results emerging from neuroscience are conceptually very relevant in themselves but, notwithstanding its theoretical sophistication, (...) neuroscience is not sufficient to provide a complete interpretation or an appropriate understanding of their impact. Consequently, the present thesis starts from the need for an interdisciplinary and hybrid field of research, i.e. fundamental neuroethics. Within this framework, the thesis takes consciousness and related disorders and the addicted brain as illustrative cases of the potential fruitful collaboration between empirical and conceptual investigations. The general goal of the thesis is to contribute to the overall development of bridging the gap between empirical and conceptual understandings of consciousness. The first paper sets the theoretical framework, providing an empirically-based description of the brain with significant philosophical implications for an understanding of consciousness. The last three papers of the thesis try to apply the theoretical framework to illustrative cases. Papers II and III analyse the possible application of science and technology for an easier detection and clinical care of patients with disorders of consciousness, with particular attention to communication mediated by neurotechnology and the simulation of the conscious brain, respectively; paper IV provides a potentially new ethical analysis of addiction within the elaborated general conceptual framework. The conclusion of the thesis is that the impact of neuroscientific results needs that a dedicated conceptual approach reveals and investigates their conceptual meaning. This conceptual analysis is not exclusive but integrative and complementary to the empirical science. The case of consciousness, analysed from both an ethical and conceptual point of view, is highly illustrative in this respect. In the end, a conceptual/linguistic work of clarification is urgently needed. (shrink)

I examine the branch of evolutionary epistemology which tries to account for the character of cognitive mechanisms in animals and humans by extending the biological theory of evolution to the neurophysiological substrates of cognition. Like Plotkin, I construe this branch as a struggling science, and attempt to characterize the sort of theory one might expect to find this truly interdisciplinary endeavor, an endeavor which encompasses not only evolutionary biology, cognitive psychology, and developmental neuroscience, but also and especially, the computational modeling (...) of artificial life programming; I suggest that extending Schaffner''s notion of interlevel theories to include both horizontal and vertical levels of abstraction best fits the theories currently being developed in cognitive science. Finally, I support this claim with examples drawn from computational modeling data using the genetic algorithm. (shrink)