When someone is in a conscious state, must they be aware of that state? The Buddhist philosopher Dignāga offers a brilliant route to answering this question by leveraging the role awareness might play as a constraint on memory. I begin by clarifying his strategy and what conclusions it might be used to establish. Here I examine different candidate directions of explanation between consciousness and inner awareness. I interpret the metaphor of consciousness as a lamp that lights itself, and use the metaphor to distinguish between his view and contemporary higher-order theories of consciousness. I then turn to explain why the memory argument fails. The first main problem is that, contrary to Dignāga’s contemporary defenders, there is no good way to use the argument to reach a conclusion about all conscious states. The second main problem is that the proposed awareness constraint on memory is highly problematic, in tension both with ancient objections as well as current psychology.
With responses from Lu Teng (NYU Shanghai)
A conference hosted by the Motherhood and Technology Working Group at the Center for the Study of Social Difference on the theme of “Conception and Its Discontents.”
Medical technologies have radically transformed the biological and social experience of motherhood. Advances in genomic and reproductive care, the circulation of novel kinship structures, the entrenchment of existing global networks of power and privilege, and the politics of contested bodily sites mark this emerging constellation.
Technological advancements have in particular impacted not just the understanding of conception, but the very process by which a human embryo is created, implanted, and matured. Egg freezing, embryo storage, IVF, and surrogacy afford women new freedoms in choosing when and how to become mothers, while also raising troubling questions about the pressures of capitalism and the extension of worklife, as well as the global inequalities present in the experience of motherhood. In addition, technologies have arisen allowing for unprecedented control over not just who becomes a mother, but what kind of embryo is allowed to be implanted and to grow. Technologies such as CRISPR and NIPT have re-introduced the question of eugenics, radically shifting the very epistemology of motherhood and what it means to be “expecting.” And contemporary abortion debates draw on technology in order to make arguments both for and against access, with imaging technologies being instrumentalized in the building of a sympathetic case for the unborn, and the very notion of a “heartbeat bill” reliant on the misreading of technologies for measuring fetal activity.
While these problems are urgent today, questions of conception and technology are by no means recent developments. The 18th century saw a flourishing of philosophical and scientific theories regarding the start of human life and its formation within the womb. Such theories relied on modern technologies, such as autopsy, to atomize and visualize the body. In the 19th and 20th centuries, eugenic medical science produced theories of reproductive difference between differing racial and social groups, leading to forced sterilization laws in both the US and in Germany. This long history of racializing the rhetoric of fertility and motherhood continues to influence political debates on immigration and demographic changes in the present.
Full conference details and schedule to come.
Please email disability@columbia.edu to request disability accommodations. Advance notice is necessary to arrange for some accessibility needs
How does the brain cope with Complexity? How do we make decisions when confronted with practically infinite streams of information?
The conference showcases cutting edge research on these questions in Neuroscience and Psychology (neural mechanisms of cognitive control, exploration, decision-making, information demand, memory and creativity), Computer Science (artificial intelligence of curiosity and intrinsic motivation) and Economics (decision making and information demand). Alongside formal presentations, the conference will encourage ample interactions among faculty, students and postdocs through informal discussions and poster presentations.
Submissions for poster presentations and travel awards are due February 15, 2023. Please visit the call for submissions for complete requirements.
Event Information
Free and open to the public. Registration is required and will open shortly. All in-person attendees must follow Columbia’s COVID-19 policies. Visitors will be asked to provide proof of COVID-19 vaccination. Online attendees will receive a Zoom link. Please email events@zi.columbia.edu with any questions.
The International Conference on Brain Informatics (BI) series has established itself as the world’s premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research.
The 16th International Conference on Brain Informatics (BI’23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain Informatics research, brain-inspired technologies and brain/mental health applications.
The key theme of the conference is “Brain Science meets Artificial Intelligence“.
The BI’23 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to:
- Track 1: Cognitive and Computational Foundations of Brain Science
- Track 2: Human Information Processing Systems
- Track 3: Brain Big Data Analytics, Curation and Management
- Track 4: Informatics Paradigms for Brain and Mental Health Research
- Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
Keynote Speakers
Professor Emery N. Brown
MIT, Massachusetts General Hospital, USA
Profile: Emery Neal Brown is the Warren M. Zapol Professor of Anesthesia at Harvard Medical School and at Massachusetts General Hospital (MGH), and a practicing anesthesiologist at MGH. At MIT he is the Edward Hood Taplin Professor of Medical Engineering and professor of computational neuroscience, the Associate Director of the Institute for Medical Engineering and Science, and the Director of the Harvard–MIT Program in Health Sciences and Technology. Brown is one of only 19 individuals who has been elected to all three branches of the National Academies of Sciences, Engineering, and Medicine, as well as the first African American and the first anesthesiologist to be elected to all three National Academies.
Professor Bin He
Carnegie Mellon University, USA
Profile: Bin He is the Trustee Professor of Biomedical Engineering, Professor of the Neuroscience Institute, and Professor by courtesy of Electrical and Computer Engineering at Carnegie Mellon University. Dr. He has made significant research and education contributions to the field of neuroengineering and biomedical imaging, including functional biomedical imaging, noninvasive brain-computer interface (BCI), and noninvasive neuromodulation. His pioneering research has helped transforming electroencephalography from a 1-dimensional detection technique to 3-dimensional neuroimaging modality. His lab demonstrated for the first time for humans to fly a drone and control a robotic arm just by thinking about it using a noninvasive BCI. He is an elected Fellow of International Academy of Medical and Biological Engineering (IAMBE), American Institute of Medical and Biological Engineering (AIMBE), Biomedical Engineering Society (BMES), and IEEE. Dr. He served as a Past President of the IEEE Engineering in Medicine and Biology Society, the Editor-in-Chief of IEEE Transactions on Biomedical Engineering from 2013-2018, the Chair of the International Academy of Medical and Biological Engineering from 2018-2021. Dr. He has been a Member of NIH BRAIN Initiative Multi-Council Working Group from 2014-2019.
Professor John Ngai
NIH BRAIN Initiative, USA
Profile: John J. Ngai, Ph.D., is the Director of the NIH’s Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Dr. Ngai earned his bachelor’s degree in chemistry and biology from Pomona College, Claremont, California, and Ph.D. in biology from the California Institute of Technology (Caltech) in Pasadena. He was a postdoctoral researcher at Caltech and at the Columbia University College of Physicians and Surgeons before starting his faculty position at the University of California at Berkeley. During more than 25 years as a Berkeley faculty member, Dr. Ngai has trained 20 undergraduate students, 24 graduate students and 15 postdoctoral fellows in addition to teaching well over 1,000 students in the classroom. His work has led to the publication of more than 70 scientific articles in some of the field’s most prestigious journals and 10 U.S. and international patents. Dr. Ngai has received many awards including from the Sloan Foundation, Pew Charitable Trusts, and McKnight Endowment Fund for Neuroscience. As a faculty member, Dr. Ngai has served as the director of Berkeley’s Neuroscience Graduate Program and Helen Wills Neuroscience Institute. He has also provided extensive service on NIH study sections, councils and steering groups, including as previous co-chair of the NIH BRAIN Initiative Cell Census Consortium Steering Group. Dr. Ngai oversees the long-term strategy and day-to-day operations of the NIH BRAIN Initiative as it strives to revolutionize our understanding of the brain in both health and disease.
Professor Helen Mayberg
Icahn School of Medicine at Mount Sinai, USA
Profile: Helen Mayberg is a neurologist recognized for her neuroimaging studies of brain circuits in depression and their translation to the development of deep brain stimulation as a novel therapeutic for treatment resistant patients. Born and raised in Southern California, she received a BA in Psychobiology from UCLA and a MD from the University of Southern California, then trained in Neurology at Columbia’s Neurological Institute in New York and did a research fellowship in nuclear medicine at Johns Hopkins. She had early academic appointments at Johns Hopkins and the University of Texas Health Sciences Center in San Antonio, held the inaugural Sandra Rotman Chair in Neuropsychiatry at the University of Toronto, the first Dorothy C. Fuqua Chair in Psychiatric Imaging and Therapeutics at Emory University and is now the Mount Sinai Professor of Neurotherapeutics at the Icahn School of Medicine where she is founding Director of the Nash Family Center for Advanced Circuit Therapeutics. She is a member of the both the National Academy of Sciences and the National Academy of Medicine as well as the National Academy of Inventors and American Academy of Arts and Sciences.
Professor Vinod Goel
York University, Canada
Profile: Vinod Goel is a professor of cognitive neuroscience at York University, Toronto, Canada. He completed his PhD in cognitive science at UC-Berkeley, and received postdoctoral training in neuroscience at the NIH (NINDS) and the Wellcome Department of Cognitive Neurology, Institute of Neurology, UCL, UK. He has made significant empirical contributions to our understanding of the roles of prefrontal cortex in real-world problem solving and reasoning, hemispheric asymmetry in prefrontal cortex, and models of rationality, using the methodologies of fMRI and lesion studies. He has most recently completed a book reconstructing the role of rationality in human behavior entitled “Reason and Less: Pursuing Food, Sex, and Politics” (The MIT Press, 2022). His current project is to explore the implications of this work on our understanding of reason and legal responsibility.
Professor Amy Kuceyeski
Cornell University, USA
Profile: Amy Kuceyeski is an Associate Professor of Mathematics and Neuroscience in Radiology at Weill Cornell Medicine and the Computational Biology Department at Cornell University. She is the director of the Computational Connectomics (CoCo) Laboratory and the Machine Learning in Medicine group at Cornell. Over the past 14 years, she has been working to understand the human brain using quantitative modeling approaches, including machine learning, to map anatomical and physiological characteristics to behavior. Specifically, she is interested in understanding how brains recover from injury so we can devise strategies, possibly via non-invasive neuromodulation, to support natural recovery processes. She also performs research at the intersection of biological and artificial neural networks that aims to understand how human brains process incoming visual information.
Professor Patrick Purdon
Harvard Medical School, USA
Profile: Patrick L. Purdon, Ph.D., is an Associate Professor of Anaesthesia at Harvard Medical School and the Nathaniel M. Sims Endowed Chair in Anesthesia Innovation and Bioengineering at Massachusetts General Hospital. Dr. Purdon received his A.B. in Engineering Sciences from Harvard College in 1996, his M.S. in Electrical Engineering from MIT in 1998, and his Ph.D. in Biomedical Engineering from MIT in 2005. Dr. Purdon’s research in neuroengineering encompasses the mechanisms of anesthesia, Alzheimer’s disease and brain health, anesthesia and the developing brain, neural signal processing, and the development of novel technologies for brain monitoring. He has published over 90 peer-reviewed publications, is an inventor on 16 pending patents, and is a Fellow of the American Institute for Medical and Biological Engineering. Dr. Purdon has won numerous awards, including the prestigious National Institutes of Health Director’s New Innovator Award.
Important Dates
- 15 April 2023: Full paper submission deadline
- 20 April 2023: Workshop proposal deadline
- 10 May 2023: Abstract presentation submission deadline
- 30 May 2023: Final paper and abstract acceptance notification
- 20 Jun 2023: Accepted paper and abstract registration deadline
- 1-3 Aug 2023: The Brain Informatics Conference
Paper Submission and Publications
Full Paper (Regular):
1. 9-12 pages are strongly encouraged for the regular papers including figures and references in Springer LNCS Proceedings format(https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Over length papers will be charged for 100$ per page.
2. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality.
3. All papers accepted (and all workshop & special sessions’ full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series(https://link.springer.com/conference/brain).
Abstract (Only for Workshops/Special Sessions):
Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. The abstract will not be included in the conference proceedings to be published by Springer.
Journal Opportunities:
High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal, (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors.
Special Issues & Books Opportunities:
Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal.
Poster-Conference Publication
1. Accepted full papers will be selected to publish in the Brain Informatics Journal upon revision.
2. Discount or no article-processing fee will be charged for authors of Brain Informatics conference (https://braininformatics.springeropen.com/).
3. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics and Health book series (http://www.springer.com/series/15148).
Yejin Choi is Wissner-Slivka Professor and a MacArthur Fellow at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She is also a senior director at AI2 overseeing the project Mosaic and a Distinguished Research Fellow at the Institute for Ethics in AI at the University of Oxford. Her research investigates if (and how) AI systems can learn commonsense knowledge and reasoning, if machines can (and should) learn moral reasoning, and various other problems in NLP, AI, and Vision including neuro-symbolic integration, language grounding with vision and interactions, and AI for social good. She is a co-recipient of 2 Test of Time Awards (at ACL 2021 and ICCV 2021), 7 Best/Outstanding Paper Awards (at ACL 2023, NAACL 2022, ICML 2022, NeurIPS 2021, AAAI 2019, and ICCV 2013), the Borg Early Career Award (BECA) in 2018, the inaugural Alexa Prize Challenge in 2017, and IEEE AI’s 10 to Watch in 2016.
In this paper, I explore the role that metaphor plays in the development of new scientific models. My goal is to illustrate metaphor’s fecundity in this regard, the way in which it extends our understanding in surprisingly diverse ways. As Mary Hesse put this point, “it is precisely in its extension that the fruitfulness of the model may lie” (1980, 114).
The particular focus of my paper is on the history of what John Haugeland called mind design: the use of mechanical models to reverse-engineer how minds work (1997, 1). My history focuses on two such models: the clockwork model and the computer model. In each case, I show how a metaphorical understanding of the model led to conceptual innovation in two distinct ways. First, it provided an interpretive frame that guided new research by offering an abstract, hypothesized structure to be later filled in by empirical research (Camp 2020). Second, it provided a concrete exemplar to contrast with human minds (Daston 1994). For instance, while on the one hand Descartes invoked the clockwork model to explain how color vision works (Adams 2015), he also invoked it as a vivid illustration of how human reasoning does not work (Riskin 2016).
It is this second source of conceptual innovation that is the real core of the paper; it reveals what I call the dialectic of mind design. This dialectic is especially evident in our tendency to redefine what it is to be human in response to new technological developments. For instance, it is evident when we take something that was previously assumed to be paradigmatic of mental acuity, such as the ability to play chess, and redefine it as something merely mechanical (Ensmenger 2012). But it is equally well evident when we take something that was previously taken to be mechanical—such as color vision—and redefine it as paradigmatically mental (Chalmers 1997; cf. Adams and Browning 2020). The concept of mindedness is, in this sense, a constantly moving goalpost that is perennially being redefined in response to new technological developments.
Join us for a series of keynote presentations as part of the 2023 Institute for Philosophy and New Humanities: Mind-Dependent Artifacts: Artifact-Dependent Minds.
Artifacts are a primary object of study in the humanities. They are products and, thus, manifestations of human thought, action, and self-determination without which they cannot be understood. At the same time, human mindedness depends on artifacts, and as well as other objects – a dependence that is manifest in the form of artifacts. Human mindedness and the reality of artifacts are therefore intertwined in complex ways.
Our Fall institute meeting 2023 Institute will consider ways in which human mindedness and the reality of artifacts are dialectically intertwined. Of special interest will be automatically or mechanically produced artifacts, and AI systems as artifacts that are neither inert causal models of human thinking nor independently minded entities. The ontology of such products thus needs to be calibrated in light of their contribution to the deep diversity of the mutual dependence of mindedness and artifacts. Some questions our seminar will address include: How do AI-research and AI-systems structure and restructure the historical, diverse articulation of human mindedness? How does our understanding of these and other artifacts shape our self-conception at the most fundamental level?
We will explore these issues in the ontology, epistemology, and humanistic study of AI and other artifacts together with distinguished keynote speakers:
Monday, September 11, 4pm
Hans Ulrich Gumbrecht: UNFOLDING A FUZZY FUTURE? Dimensions for Thinking about “Singularity”
Tuesday, September 12, 10am
Cameron Buckner: Understanding Progress in AI Using Empiricist Philosophy of Mind
Wednesday, September 13, 3pm
Kanta Dihal
Wednesday, September 13, 5pm
David Chalmers: Forum Humanum Lecture
Thursday, September 14, 4pm
Nandi Theunissen: Rethinking Regress Arguments for the Value of Humanity
Friday, September 15, 4pm
Kalindi Vora
How do we experience space? And what does this mean for the spaces we design? We explore these questions by bringing together speakers from Architecture, Neuroscience, and Virtual Reality, with two specific aims: First, we explore what Architecture and Virtual Reality can learn from each other, as two distinct approaches to “spatial design”. Whilst spatial experience has long been a central question of Architecture, Virtual Reality is only beginning to grapple with these questions, as technology transitions from 2D screens to 3D spatial interfaces. Second, we explore the nature of spatial experience itself, with two approaches to understanding the human mind. Whilst contemporary Architecture is influenced by Philosophy (specifically the “Phenomenological” tradition), the tools of Neuroscience are increasingly being applied to questions of Architecture as well. Through this multidisciplinary exchange we hope to deepen our understanding of spatial experience, and how it informs the physical and virtual spaces we design.
Event Speakers
- Nitzan Bartov, Designer at Meta Reality Labs Research
- Anjan Chatterjee, Professor of Neurology, Psychology, and Architecture at the University of Pennsylvania
- Steven Holl, Professor of Architecture, Planning, and Preservation at Columbia University
- Moderated by Paul Linton, Presidential Scholar in Society and Neuroscience and Fellow of the Italian Academy for Advanced Studies in America at Columbia University
Event Information
Free and open to the public. Registration is required via Eventbrite. Online attendees will receive a Zoom link from Eventbrite. Please email presidentialscholars@columbia.edu with any questions.
This event is hosted by the Presidential Scholars in Society and Neuroscience as part of the Seminars in Society and Neuroscience series. Co-sponsored by the Italian Academy for Advanced Studies in America and the Zuckerman Institute at Columbia University.
The Center for Science and Society makes every reasonable effort to accommodate individuals with disabilities. If you require disability accommodations to attend a Center for Science and Society event, please contact us at scienceandsociety@columbia.edu or (212) 854-0666 at least 10 days in advance of the event. For more information, please visit the campus accessibility webpage.
Matthew Boyle works on topics in the philosophy of mind and on some issues in the history of philosophy. In the former area, he has been especially concerned with the question of how we know our own minds and with debates about the scope and limits of such knowledge. He is presently at work on a book called The Significance of Self-Consciousness (under contract with Oxford University Press) on the distinction between rational and nonrational minds, the connection between rationality and the capacity for first-person awareness of one’s own cognitive activity, and the continuing relevance of these topics to contemporary debates in philosophy and psychology.
ALL TALKS AVAILABLE ON ZOOM
SOME ALSO IN PERSON (Graduate Center room 7102)
Talks organized and hosted by Ryan McElhaney
To get Zoom links: Email davidrosenthal1@gmail.com
2/2: Edward Elliott
Philosophy, University of Leeds; soon to be at Notre Dame
*** HYBRID: Graduate Center Room 7102 ***
2/9: Sami R. Yousif
Psychology, University of Pennsylvania
*** HYBRID: Graduate Center Room 7102 ***
2/16: Susan E. Carey
Psychology, Harvard University
*** HYBRID: Graduate Center Room 7102 ***
2/23: Amy Kind
Philosophy, Claremont McKenna College
3/1: Johannes Fahrenfort
Neuroscience, Conscious Brain Lab, Vrije Universiteit Amsterdam
and Universiteit van Amsterdam
3/8: Sam Coleman
Philosophy, University of Hertfordshire
3/15: Christopher Hill
Philosophy, Brown University
3/22: Nicholas Humphrey
Neuropsychology, London School of Economics and Darwin College Cambridge
3/29: No talk—Easter weekend
4/5: James R. O’Shea
Philosophy, University College Dublin
4/12: Daniel Stoljar
Philosophy, Australian National University
4/19 and 4/26: No talks—CUNY spring break
5/3: Willem A. deVries
Philosophy, University of New Hampshire
*** HYBRID: Graduate Center Room 7102 ***
5/10: Kathleen Akins and Martin Hahn
Philosophy, Simon Fraser University
*** HYBRID: Graduate Center Room 7102 ***