Philosophy
philosophy
Vinita Samarasinghe
The Women in Memory Research 2023 program is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. The program is made possible through a grant from the German Research Foundation (DFG) and collaboration with the Ruhr University Bochum. Participants will learn about an academic career, participate in GEM 2023 where they will hear about the latest research in generative episodic memory, present their research, and meet with female scientists from the field. They will also be introduced to support structures, funding measures and the FOR 2812 labs.
Steven Frankland, Jonathan Phillips
Our labs seek to better understand the normative principles and mechanistic underpinnings of human cognition. Some topics of particular interest are: how we dynamically assemble new thoughts, how we think about alternative possibilities, and how/why processing capacity is often so limited. We encourage students interested in pursuing computational, behavioral, and neuroscientific work on these and related questions to apply to Dartmouth’s Psychological and Brain Sciences PhD Program. In addition to psychology and neuroscience, our labs draw broadly on work in computer science, philosophy, and linguistics. The Cognitive Science Program at Dartmouth maintains close ties to these departments, which provide a breadth of resources for Ph.D. candidates affiliated with the Program in Cognitive Science.
Ryan Thomas Philips
Azim Premji University has launched an exciting new interdisciplinary major in psychology and cognition, focusing on themes like human cognitive development in the life cycle, mental health and well-being, and machine intelligence and learning. The programme aims to provide holistic insights into the interplay of the mind and behaviour by drawing from various disciplines such as philosophy, neuroscience, psychology, computer science, and socio-cultural contexts. We are specifically looking for faculty who specialise in Developmental Psychology and Cognitive Sciences. Exceptional candidates with expertise in any other related field are also encouraged to apply. We look for applicants who resonate with the purpose of the University and are keen to contribute to the design, development, and delivery of the courses in psychology and cognitive science in our undergraduate programme. The programme is residential for students, and faculty are expected to contribute to research, teaching, and mentoring students, and help build a vibrant community of learning.
Neurosurgery & Consciousness: Bridging Science and Philosophy in the Age of AI
Overview of neurosurgery specialty interplay between neurology, psychiatry and neurosurgery. Discussion on benefits and disadvantages of classifications. Presentation of sub-specialties: trauma, oncology, functional, pediatric, vascular and spine. How does an ordinary day of a neurosurgeon look like; outpatient clinic, emergencies, pre/intra/post operative patient care. An ordinary operation. Myth-busting and practical insights of every day practice. An ordinary operation. Hint for research on clinical problems to be solved. The coming ethical frontiers of neuroprosthetics. In part two we will explore the explanatory gap and its significance. We will review the more than 200 theories of the hard problem of consciousness, from the prevailing to the unconventional. Finally, we are going to reflect on the AI advancements and the claims of LLMs becoming conscious
Great ape interaction: Ladyginian but not Gricean
Non-human great apes inform one another in ways that can seem very humanlike. Especially in the gestural domain, their behavior exhibits many similarities with human communication, meeting widely used empirical criteria for intentionality. At the same time, there remain some manifest differences. How to account for these similarities and differences in a unified way remains a major challenge. This presentation will summarise the arguments developed in a recent paper with Christophe Heintz. We make a key distinction between the expression of intentions (Ladyginian) and the expression of specifically informative intentions (Gricean), and we situate this distinction within a ‘special case of’ framework for classifying different modes of attention manipulation. The paper also argues that the attested tendencies of great ape interaction—for instance, to be dyadic rather than triadic, to be about the here-and-now rather than ‘displaced’—are products of its Ladyginian but not Gricean character. I will reinterpret video footage of great ape gesture as Ladyginian but not Gricean, and distinguish several varieties of meaning that are continuous with one another. We conclude that the evolutionary origins of linguistic meaning lie in gradual changes in not communication systems as such, but rather in social cognition, and specifically in what modes of attention manipulation are enabled by a species’ cognitive phenotype: first Ladyginian and in turn Gricean. The second of these shifts rendered humans, and only humans, ‘language ready’.
On biological and cognitive autonomy
In this talk I will introduce the central notions of the theory of autonomy, as it is being currently developed in biology and cognitive science. The theory of autonomy puts forward the capacity of self-determination of organisms as whole systems, and constitutes thereby an alternative to more reductionist and mechanistic approaches. I will discuss how the theory of autonomy provides a justification for the scientific use of notions as function, norm, agency and teleology, whose epistemological legitimacy is highly debated. I will conclude by describing the difficult challenges that poses the transition from biological to cognitive autonomy.
The french roots of electrophysiology
This talk looks at the subject of my biography, the German physiologist Emil du Bois-Reymond (1818–1896). With respect to his philosophy of biological reduction, his methods of electrophysiological experiment, and his co-discovery of the action potential, du Bois-Reymond is generally considered one of the founders of neuroscience. Less well known are the origins of his innovation: French writers shaped his outlook on science, just as French scientists shaped his practice in the laboratory. I contend that du Bois-Reymond’s originality is the product of his synthesis of French traditions with German concerns.
GeNN
Large-scale numerical simulations of brain circuit models are important for identifying hypotheses on brain functions and testing their consistency and plausibility. Similarly, spiking neural networks are also gaining traction in machine learning with the promise that neuromorphic hardware will eventually make them much more energy efficient than classical ANNs. In this session, we will present the GeNN (GPU-enhanced Neuronal Networks) framework, which aims to facilitate the use of graphics accelerators for computational models of large-scale spiking neuronal networks to address the challenge of efficient simulations. GeNN is an open source library that generates code to accelerate the execution of network simulations on NVIDIA GPUs through a flexible and extensible interface, which does not require in-depth technical knowledge from the users. GeNN was originally developed as a pure C++ and CUDA library but, subsequently, we have added a Python interface and OpenCL backend. We will briefly cover the history and basic philosophy of GeNN and show some simple examples of how it is used and how it interacts with other Open Source frameworks such as Brian2GeNN and PyNN.
Interdisciplinary College
The Interdisciplinary College is an annual spring school which offers a dense state-of-the-art course program in neurobiology, neural computation, cognitive science/psychology, artificial intelligence, machine learning, robotics and philosophy. It is aimed at students, postgraduates and researchers from academia and industry. This year's focus theme "Flexibility" covers (but not be limited to) the nervous system, the mind, communication, and AI & robotics. All this will be packed into a rich, interdisciplinary program of single- and multi-lecture courses, and less traditional formats.
Free will beyond spontaneous volition: Conscious control processes of inhibition and attention in self-control and free will
Polaris Koi (Philosophy) and Jake Gavenas (Neuroscience) begin the seminar by arguing that agentive control is the key requirement for free will, drawing on folk-philosophy findings to support this claim (Gavenas et al., in prep). They explore how two executive control processes that functionally involve consciousness—inhibition and top-down control of attention—connect self-control and free will.
The pervasive role of visuospatial coding
Historically, retinotopic organisation (the spatial mapping of the retina across the cortical surface) was considered the purview of early regions of visual cortex (V1-V4) only and that anterior, more cognitively involved regions abstracted this information away. The contemporary view is quite different. Here, with Advancing technologies and analysis methods, we see that retinotopic information is not simply thrown away by these regions but rather is maintained to the potential benefit of our broader cognition. This maintenance of visuospatial coding extends not only through visual cortex, but is present in parietal, frontal, medial and subcortical structures involved with coordinating-movements, mind-wandering and even memory. In this talk, I will outline some of the key empirical findings from my own work and the work of others that shaped this contemporary perspective.
NMC4 Short Talk: Neural Representation: Bridging Neuroscience and Philosophy
We understand the brain in representational terms. E.g., we understand spatial navigation by appealing to the spatial properties that hippocampal cells represent, and the operations hippocampal circuits perform on those representations (Moser et al., 2008). Philosophers have been concerned with the nature of representation, and recently neuroscientists entered the debate, focusing specifically on neural representations. (Baker & Lansdell, n.d.; Egan, 2019; Piccinini & Shagrir, 2014; Poldrack, 2020; Shagrir, 2001). We want to know what representations are, how to discover them in the brain, and why they matter so much for our understanding of the brain. Those questions are framed in a traditional philosophical way: we start with explanations that use representational notions, and to more deeply understand those explanations we ask, what are representations — what is the definition of representation? What is it for some bit of neural activity to be a representation? I argue that there is an alternative, and much more fruitful, approach. Rather than asking what representations are, we should ask what the use of representational *notions* allows us to do in neuroscience — what thinking in representational terms helps scientists do or explain. I argue that this framing offers more fruitful ground for interdisciplinary collaboration by distinguishing the philosophical concerns that have a place in neuroscience from those that don’t (namely the definitional or metaphysical questions about representation). And I argue for a particular view of representational notions: they allow us to impose the structure of one domain onto another as a model of its causal structue. So, e.g., thinking about the hippocampus as representing spatial properties is a way of taking structures in those spatial properties, and projecting those structures (and algorithms that would implement them) them onto the brain as models of its causal structure.
The Unfolding Argument: theoretical and methodological implications
In the first part of this talk, I will briefly present the unfolding argument by Doerig et al. (2019) and the various replies in the philosophical and neuroscientific literature. In the second part of the talk, I will explore the ramifications that this debate has for the science of consciousness and its philosophy, with particular focus on these questions: (i) which type of explanation should a theory of consciousness provide? (ii) what is the evidential basis for theories of consciousness?
A Functional Approach to Analogical Reasoning in Scientific Practice
The talk argues for a new approach to analysing analogical reasoning in scientific practice. Traditionally, philosophers of science tend to analyse analogical reasoning in either a top-down way or a bottom-up way. Examples of top-down approaches include Mary Hesse’s seminal work (1963) and Paul Bartha’s articulation model (2010), while most popular bottom-up approach is John Norton’s material approach (2018). I will address the problems of these traditional approaches and introduce an alternative approach, which is motivated by my exemplar-based approach to the history of science, defended in my recent book (2020).
The Brain and Its Mind: Temporo- Spatial Theory of Consciousness (TTC)
Irruption theory of consciousness
Tom Froese is Assistant Professor at the Okinawa Institute of Science and Technology Graduate University (OIST), where he heads the Embodied Cognitive Science Unit. He is a cognitive scientist with a background in phenomenological philosophy, human-computer interaction, and complex systems theory. His interdisciplinary research centers on the role of agent-environment interaction in shaping cognition and consciousness, specifically when the interaction process involves sociality and technology. In this talk he will present current work in progress on “irruption theory”, a new theory of consciousness that integrates an embodied-enactive account of basic mind with radical formulations of the freedom and efficacy of intentional agency.
Lessons from the credibility revolution – social thermoregulation as a case study
The goal of this talk is to first provide a realization of why the replication crisis is omnipresent and then point to several tools via which the listener can improve their own work. To do so, I will go through our own work on social thermoregulation, point out why I thought changes were necessary, discuss which shortcomings we have in our own work, which measures we have taken to reduce those shortcomings, which tools we have relied on to do so, and which steps I believe we still need to make. Specifically, I will go through the following points: Major replication failures and data fabrication in the field of psychology; Replication failures of social thermoregulation studies; Realization that many of our studies were underpowered; Realization that many of our studies were very narrow in scope (i.e., in undergraduate students and mostly in EU/US); Realization that a lot of our measures were not independently validated. I will show these for our own work (but will also show why, via a meta-analysis, we have enough confidence to proceed with social thermoregulation research). Throughout the talk I will point you to the following tools that facilitate our work: Templates for exploratory and confirmatory research and for meta-analyses (developed for our work, but easily adaptable for other programs). I will also show you how to fork our templates; A lab philosophy; A research milestones sheet for collaborations and overviews; Excel sheet for contributorship; A tutorial for exploratory research; I would recommend listeners to read through this chapter before the talk (I will repeat a lot of that work, but I will go into greater depth). own work. To do so, I will go through our own work on social thermoregulation, point out why I thought changes were necessary, discuss which shortcomings we have in our own work, which measures we have taken to reduce those shortcomings, which tools we have relied on to do so, and which steps I believe we still need to make.
Towards Operational and Falsifiable Definitions to Stimulate the Dialogue in the Neurophilosophy of Free Will
Consciousness, falsification and epistemic constraints
Consciousness is a phenomenon unlike any other studied in natural science. Yet when building theories and designing experiments, we often proceed as if this were not the case. In this talk, I present two recent investigations of mine which explore the implications of consciousness' unique epistemic context for scientific theory building and experimental design. The first investigation is concerned with falsifications of theories of consciousness and identifies a rather deep problem in the usual scheme of testing theories. The second is an axiomatization and subsequent formalization of some of consciousness' more problematic epistemic features that allows to precisely quantify where the usual scientific methodology ceases to be applicable. For both cases, I indicate ways to resolve the problem.
The Power and Limits of Neuroscience Research Paradigms on Action and Free Will
The Learning Salon
In the Learning Salon, we will discuss the similarities and differences between biological and machine learning, including individuals with diverse perspectives and backgrounds, so we can all learn from one another.
Free will, decision-making and machine learning
The question of free will has been topical for millennia, especially considering its links to moral responsibility and the ownership of that responsibility. Free will, or volition, is an incredibly complex phenomenon - and cannot easily be reduced to a single empirical paradigm. Roskies (2010) proposes that there are five cognitive aspects to be considered when developing a more complete understanding of volition. These are: intention, initiation, feeling, executive control and decision-making. Decision-making will be the focus of this talk, which steps through aspects of the philosophy of free will; highlights experimental paradigms stemming from the seminal work of Benjamin Libet et al., and proposes machine learning as a promising method in progressing the empirical studies of decision-making and free will.