Joint perceptual decision-making: a case study in explanatory pluralism.

Traditionally different approaches to the study of cognition have been viewed as competing explanatory frameworks. An alternative view, explanatory pluralism, regards different approaches to the study of cognition as complementary ways of studying the same phenomenon, at specific temporal and spatial scales, using appropriate methodological tools. Explanatory pluralism has been often described abstractly, but has rarely been applied to concrete cases. We present a case study of explanatory pluralism. We discuss three separate ways of studying the same phenomenon: a perceptual decision-making task (Bahrami et al., 2010), where pairs of subjects share information to jointly individuate an oddball stimulus among a set of distractors. Each approach analyzed the same corpus but targeted different units of analysis at different levels of description: decision-making at the behavioral level, confidence sharing at the linguistic level, and acoustic energy at the physical level. We discuss the utility of explanatory pluralism for describing this complex, multiscale phenomenon, show ways in which this case study sheds new light on the concept of pluralism, and highlight good practices to critically assess and complement approaches

Phenomenology and Connectionism

I show how the dynamics of consciousness can be formally derived from the “open dynamics” of neural activity, and develop a mathematical framework for neuro-phenomenological investigation. I describe the space of possible brain states, the space of possible conscious states, and a “supervenience function” linking them. I show how this framework can be used to associate phenomenological structures with neuro-computational structures, and vice-versa. I pay special attention to the relationship between (1) the relatively fast dynamics of consciousness and neural activity, and (2) the slower dynamics of knowledge update and brain development

Mouse tracking performance: A new approach to analyzing continuous mouse tracking data.

Mouse tracking is an important source of data in cognitive science. Most contemporary mouse tracking studies use binary-choice tasks and analyze the curvature or velocity of an individual mouse movement during an experimental trial as participants select from one of the two options. However, there are many types of mouse tracking data available beyond what is produced in a binary-choice task, including naturalistic data from web users. In order to utilize these data, cognitive scientists need tools that are robust to the lack of trial-by-trial structure in most normal computer tasks. We use singular value decomposition (SVD) and detrended fluctuation analysis (DFA) to analyze whole time series of unstructured mouse movement data. We also introduce a new technique for describing two-dimensional mouse traces as complex-valued time series, which allows SVD and DFA to be applied in a straightforward way without losing important spatial information. We find that there is useful information at the level of whole time series, and we use this information to predict performance in an online task. We also discuss how the implications of these results can advance the use of mouse tracking research in cognitive science

A Pluralist Approach to Merleau-Pontian Cognitive Science

Representational and embodied approaches to cognitive science are often presented in opposition to one another, with Merleau-Ponty serving as a historical precursor to embodied approaches. We argue that the two approaches are compatible and complementary, and that both can be used to interpret Merleau-Ponty's (and Husserl's) work. To support our arguments, we describe two forms of representation associated with two distinct processes. Motor intentionality is a process of direct embodied interaction (reflexes, habits, skilled behaviors) which use mediating representations to bind sensory information together and guide behavior. These internal states reliably indicate specific stimuli (even if just during a transient episode), are associated with a determinate phenomenal character (a “typical physiognomy”), and correspond to what Husserl describes as passive synthesis. Higher-level processes like reasoning make use of more explicit representations (what Husserl calls active processes), which are associated with focused attention and “explicated” propositional contents. The two kinds of process can occur independently, but are often fully woven together, as for example when a friend makes explicit suggestions while the two of you cook. We also discuss Merleau-Ponty’s famous Schneider case, which makes vivid what happens when both types of processes (motor intentionality and high-level reasoning; passive and active synthesis) are intact, but when some explicit representations are damaged. A certain stratum of virtual or projected space is lost, and so a certain kind of abstractly guided behavior is unavailable to him

Optimizing Nervous System-Specific Gene Targeting with Cre Driver Lines: Prevalence of Germline Recombination and Influencing Factors.

The Cre-loxP system is invaluable for spatial and temporal control of gene knockout, knockin, and reporter expression in the mouse nervous system. However, we report varying probabilities of unexpected germline recombination in distinct Cre driver lines designed for nervous system-specific recombination. Selective maternal or paternal germline recombination is showcased with sample Cre lines. Collated data reveal germline recombination in over half of 64 commonly used Cre driver lines, in most cases with a parental sex bias related to Cre expression in sperm or oocytes. Slight differences among Cre driver lines utilizing common transcriptional control elements affect germline recombination rates. Specific target loci demonstrated differential recombination; thus, reporters are not reliable proxies for another locus of interest. Similar principles apply to other recombinase systems and other genetically targeted organisms. We hereby draw attention to the prevalence of germline recombination and provide guidelines to inform future research for the neuroscience and broader molecular genetics communities

Comparing Outcomes with Bone Marrow or Peripheral Blood Stem Cells as Graft Source for Matched Sibling Transplants in Severe Aplastic Anemia across Different Economic Regions

Bone marrow (BM) is the preferred graft source for hematopoietic stem cell transplantation (HSCT) in severe aplastic anemia (SAA) compared to mobilized peripheral blood stem cells (PBSC). We hypothesized that this recommendation may not apply to those regions where patients present later in their disease course, with heavier transfusion load and with higher graft failure rates. Patients with SAA who received HSCT from an HLA-matched sibling donor from 1995 to 2009 and reported to the Center for International Blood and Marrow Transplant Research or the Japan Society for Hematopoietic Cell Transplantation were analyzed. The study population was categorized by gross national income per capita (GNI) and region/countries into four groups. Groups analyzed were high income countries (HIC), which were further divided into US-Canada (N=486) and other HIC (N=1264), upper middle-income (UMIC) (N=482), and combined lower middle, low income countries (LM-LIC) (N=142). In multivariate analysis, overall survival (OS) was highest with BM as graft source in HIC compared to PBSC in all countries or BM in UMIC or LM-LIC (p<0.001). There was no significant difference in OS between BM and PBSC in UMIC (p=0.32) or LM-LIC (p=0.23). In LM-LIC the 28-day neutrophil engraftment was higher with PBSC compared to BM (97% vs. 77%, p<0.001). Chronic GVHD was significantly higher with PBSC in all groups. Whereas BM should definitely be the preferred graft source for HLA-matched sibling HSCT in SAA, PBSC may be an acceptable alternative in countries with limited resources when treating patients at high risk of graft failure and infective complications

Pluralist neurophenomenology: a reply to Lopes

Abstract Lopes (2021) has argued against my use of neural networks and dynamical systems theory in neurophenomenology. Responding to his argument provides an opportunity to articulate a pluralist approach to neurophenomenology, according to which multiple theoretical frameworks—symbolic, dynamical systems, connectionist, etc.—can be used to study consciousness and its relationship to neural activity. Each type of analysis is best suited to specific phenomena, but they are mutually compatible and can inform and constrain one another in non-trivial ways. I use historical and conceptual arguments to elaborate on this type of pluralism as it applies to cognitive science, phenomenology, and neurophenomenology. </jats:p