Dynamical systems theory (DST) is a branch of mathematics that assesses abstract or physical systems that change over time. It has a quantitative part (mathematical equations) and a related qualitative part (plotting equations in a state space). Nonlinear dynamical systems theory applies the same tools in research involving phenomena such as chaos and hysteresis. These approaches have provided different ways of investigating and understanding cognitive systems in cognitive science and neuroscience. The ‘dynamical hypothesis’ claims that cognition is and can be (...) understood as dynamical systems. Common consequences for such an approach include rejecting understanding cognition as information processing in nature, including eschewing explanatory roles for computation or representation. Contemporary applications of DST include mouse‐tracking studies in cognitive science and nonrepresentational perspectives on motor control in neuroscience. Such work has philosophical implications concerning the boundaries of cognition, explanation, and representations. DST offers powerful methodology and theories that raise many topics of philosophical significance. (shrink)

We provide a quantitative analysis of the philosophy-neuroscience nexus using citation analysis. Combining bibliometric indicators of cross-field visibility with journal citation mapping techniques, we investigate four dimensions of the nexus: how the visibility of neuroscience in philosophy and of philosophy in neuroscience has changed over time, which areas of philosophy are more interested in neuroscience, which areas of neuroscience are more interested in philosophy, and how the trading zone between the two fields is configured. We also discuss two hypotheses: the (...) supposed occurrence of a neuro-revolution in philosophy and the role of psychology as the disciplinary link between neuroscience and philosophy. Both the visibility of neuroscience in philosophy and the visibility of philosophy in neuroscience have increased significantly from 1980 to 2020, albeit the latter remains an order of magnitude lower than the former. Neuroscience is particularly visible in philosophy of mind, applied ethics, philosophy of science, but not in ‘core’ areas of analytic philosophy. Philosophy is particularly visible in cognitive and systems neuroscience and neuropsychiatry, but not in biomedical neuroscience. As for the trading zone between philosophy and neuroscience, our data show that it works differently in philosophy and in neuroscience. While some philosophy journals are active loci of bidirectional communication, neuroscience journals are divided between journals ‘importing’ philosophy in neuroscience and journals ‘exporting’ neuroscience to philosophy. Lastly, data do not support the hypothesis that a widespread neuro-revolution has transformed philosophy radically, but support the hypothesis that psychology functions as a mediating disciplinary link between philosophy and neuroscience. (shrink)

I propose a cautionary assessment of the recent debate concerning the impact of the dynamical approach on philosophical accounts of scientific explanation in the cognitive sciences and, particularly, the cognitive neurosciences. I criticize the dominant mechanistic philosophy of explanation, pointing out a number of its negative consequences: In particular, that it doesn’t do justice to the field’s diversity and stage of development, and that it fosters misguided interpretations of dynamical models’ contribution. In order to support these arguments, I analyze a (...) case study in computational neuroethology and show why it should not be understood through a mechanistic lens; I specially focus on Zednik’s mechanistic interpretation of the case study. In addition, I argue for a greater appreciation of the relation between explanation and other epistemic goals in the field, as well as an increased sensitivity towards the associated contextual factors. (shrink)

Although there is a substantial philosophical literature on dynamical systems theory in the cognitive sciences, the same is not the case for neuroscience. This paper attempts to motivate increased discussion via a set of overlapping issues. The first aim is primarily historical and is to demonstrate that dynamical systems theory is currently experiencing a renaissance in neuroscience. Although dynamical concepts and methods are becoming increasingly popular in contemporary neuroscience, the general approach should not be viewed as something entirely new to (...) neuroscience. Instead, it is more appropriate to view the current developments as making central again approaches that facilitated some of neuroscience’s most significant early achievements, namely, the Hodgkin–Huxley and FitzHugh–Nagumo models. The second aim is primarily critical and defends a version of the “dynamical hypothesis” in neuroscience. Whereas the original version centered on defending a noncomputational and nonrepresentational account of cognition, the version I have in mind is broader and includes both cognition and the neural systems that realize it as well. In view of that, I discuss research on motor control as a paradigmatic example demonstrating that the concepts and methods of dynamical systems theory are increasingly and successfully being applied to neural systems in contemporary neuroscience. More significantly, such applications are motivating a stronger metaphysical claim, that is, understanding neural systems as being dynamical systems, which includes not requiring appeal to representations to explain or understand those phenomena. Taken together, the historical claim and the critical claim demonstrate that the dynamical hypothesis is undergoing a renaissance in contemporary neuroscience. (shrink)