Events

Every semester we host a variety of events including guest speaker talks, alumni Q&As, workshops, and article discussions. We also host a number of social events to help connect students interested in cognitive science. 

Check out our instagram @umichcogsci for updates on upcoming events! 

Fall 2023

Trivia Night at Buffalo Wild Wings (November 15th, 2023)

Sheep Brain Dissection (November 8th, 2023)

Cider Mill Social (October 7th, 2023)

Movie Night Social (September 20th, 2023)

Winter 2023

Pi(e) Day Social (March 14th, 2023)

Board Game Night Social (February 21st, 2023)

David Brang - "Multisensory Perception Research" (February 16th, 2023)

Dr. Brang is the director of the Multisensory Perception Lab and primarily studies the interactions between of visual and auditory processing in speech perception using fMRI technology.


Valentines for Bryant Community Center (January 20th, 2023)

Colloquium Interest Meeting (January 17th, 2023)

In previous Colloquiums on Cognitive Science, we have showcased cutting-edge research in the field of cognitive science by both faculty and students. However, we understand that research is not for everybody, so this year we wanted to change things up to represent the interdisciplinary nature of cognitive science. For the 2023 CSC Colloquium on Cognitive Science, we invite students to come work in groups to dip their toes into the field of cognitive science. You will work with your peers to form focus groups tasked with creating initiative in the field of cognitive science. Say for example you’re interested in cognitive science’s relationship to the brain. You can make a TikTok account dedicated to promoting mental health awareness on campus. Or, maybe you want to reach out to a local organization and find a way to spread their mission. These examples only scratch the surface of what’s possible, but this project is very flexible with a lot of room for creativity. We will meet throughout the semester to keep teams productive and provide assistance, and at the end of the year you’ll be able to present what you did to peers and faculty! This is a wonderful opportunity to experience cognitive science in a non-academic setting and gain some real world experience working on something within the field. Come to our interest meeting to learn more about the project!


Fall 2022

Ahab Chopra - "Q&A with a Med Student/Careers in CogSci" (November 21st, 2022)

Graduating from Harvard in Chemistry and Neuroscience, Ahab Chopra is a current MD/PhD student at University of Michigan with over four years of tutoring and counseling experience. As a recent applicant, he knows the ins and outs of the medical school admission process from crafting the perfect personal statement to navigating the ever-daunting MCAT. If you think you would benefit from coaching, check out: https://www.veritascoaches.com/medical to set up a free consultation!


Brain Dissection (November 15th, 2022)

Ice Skating at Yost Arena (November 5th, 2022)

Jane Huggins - "Brain-Computer Interface Facilitated Communication" (October 25th, 2022)

Dr. Huggins is the director of the UM Direct Brain Institute and her research is primarily focused on brain-computer interfaces through EEG technology to help in need populations. 


Movie Night Social (October 11th, 2022)

Pamela Davis-Kean - "The Role of Parental Education and Income Level in the Development of Children's Executive Function" (October 4th, 2022)

Dr. Davis-Kean is a professor in the Psychology department here at UM and also a Research Professor at the Institute for Social Research. Her research focuses on the role of parental education and income level in the development of children's executive function, especially in mathematics.


Winter 2022

David Dunning - "Our Errors are Invisible to Us" (March 31st, 2022)

Every judgment we make requires a second one--whether to be confident or hesitant about it. I discuss psychological research on the vagaries of reaching accurate confidence assessments of our judgments, in particular the intrinsic problem of anticipating when we are wrong. Our errors are often invisible to us because they don't look like errors at the time. Other people, however, have a better chance at spotting those errors than we do.

Wade Munroe - "What It Takes to Make a Word (Token)" (March 10th, 2022)

When does something, x—e.g., some utterance, inscription, manual gesture, etc.—constitute a token of a word type, w, as opposed to some other word type, x*, or no word at all? (Central Question)

In this talk, I argue against a popular intentionalist answer to Central Question according to which (roughly put) something, x, constitutes a token of a word type, w, when one generates x with the intention to generate a token w (or a suitably similar intention). Given that word tokens are artifacts, the intentionalist answer to Central Question is indicative of a broader and widely held assumption in the literature on the metaphysics of artifacts, namely, that artifacts are intention-dependent—something, x, is an artifact of type, t, only if x was produced with the intention to produce an artifact of type t (Juvshik 2021). As I demonstrate, intention has little to no role to play in an answer to Central Question or, more broadly, an account of artifacts. I argue that our (tacit) knowledge of how to perform various complex actions, like generating word tokens through speech, is not something that must be intentionally accessed, reasoned with, and utilized in governing behavior in some fully top-down intentional manner. We can exhibit a host of complex and context sensitive behavior that constitutes an exercise of our competence with/knowledge of how to act within an environment without intention playing an initiating, guiding, or sustaining role.

Audrey Michal - "Using Cognitive Science Principles to Improve Scientific and Statistical Literacy" (February 17th, 2022)

People are increasingly using data and evidence from scientific studies to inform decisions, both in industry and in their personal lives. However, evidence-based reasoning presents many challenges, such as misinterpreting data, focusing on irrelevant data, and accepting evidence that conflicts with prior beliefs. In this talk, I will discuss how using theories from cognitive science can inform learning interventions to improve scientific and statistical literacy so that people can evaluate evidence more critically and objectively.

Paint by Numbers Social (February 3rd, 2022)

Winter Welcome Meeting (January 20th, 2022)

Fall 2021

Brain Dissection Social (November 18th, 2021)

Pumpkin Carving Social (October 24th, 2021)

Najoung Kim - "Compositional Linguistic Generalization in Artificial Neural Networks" (October 21st, 2021)

Compositionality–the principle that the meaning of a complex expression is built from the meanings of its constituent parts–is considered a central property of human language. The key benefit of compositionality is compositional generalization, which enables the production and comprehension of novel expressions analyzed as new compositions of familiar parts. In this presentation, I discuss my work on developing a test for compositional generalization for artificial neural networks based on human generalization patterns discussed in existing linguistic and developmental studies, and applying this test to several instantiations of Transformer (Vaswani et al. 2017) and Long Short-Term Memory (Hochreiter & Schmidhuber 1997) models to better characterize their learning biases.

Jonathan Morrow - "Addiction Neurobiology and the Subversion of Free Will" (October 7th, 2021)

The aim of this talk will be to provide an overview of the neurobiology of addiction, with an emphasis on the interplay between conscious decision-making and subconscious or “automatic” desires. Individual variation in this neurobiology will also be discussed, especially with regard to its influence on susceptibility to addiction. Finally, the scientific findings outlined in this talk will be used to raise questions about morality, personal responsibility, and societal responses to addiction and other behavioral disorders.

CSC Alumni Q&A Panel (September 23rd, 2021)

Levi Myers - Levi is a recent graduate from the Cognitive Science program where he studied the decision and cognition track. During his time at the University of Michigan, he was involved with Central Student Government as an elected representative, and as a member of his pre-professional fraternity Kappa Omega Alpha. He now is an e-commerce strategy associate on the Product Addition Data Accuracy Team where he manages and advises on process improvements and workflows in the Product Addition space.

Fall Mass Meeting (September 16th, 2021)

Winter 2021

Savithry Namboodiripad - "Contact, Cognition, and Change: The role of language ideologies in how languages change in multilingual contexts" (April 8th, 2021)

How do languages change in multilingual contexts? In this talk, I'll run through a few different types of language change, and show how taking an interdisciplinary approach can help us understand how factors such as language ideology and language policy might influence how words are pronounced/understood, as well as how words are ordered. I will show some examples across contexts, from American English and Malayalam, and argue that differences in how speakers categorize linguistic material as belonging to one language or another is an important factor in how languages change due to language contact. 

Chandra Sripada - "Agency in the Stream of Conciousness: Perspectives from Cognitive Science" (March 25, 2021)

The stream of consciousness refers to ideas, images, and memories that meander across the mind when we are otherwise unoccupied. The standard view is that these thoughts arise from "automatic" subpersonal processes, and we are for the most part passive observers of them. Drawing on a series of laboratory studies we have conducted, I argue this view is importantly incorrect. On the alternative view I put forward, the stream of consciousness arises from “basic decisions”, a ubiquitous and underappreciated feature of our mental life. Basic decisions lie in a grey zone: They are both manifestations of agency as well as obstacles to it. 


Stephanie Preston - "“From toilet paper to teddy bears: How our brain evolved to make decisions about stuff”  (March 11th, 2021)

When COVID-19 hit, people stockpiled everything from toilet paper to liquor. Was this “panic buying” really so irrational? Research across species suggests not. This response probably evolved long ago in the mammalian nervous system and adaptively emerges under conditions of risk or uncertainty. Kangaroo rats survive droughts in the desert by hoarding seeds after a rain; squirrels survive unproductive winters by scatter hoarding nuts in the woods; laboratory rats hoard chow if you give them a large enough supply. The same brain areas and contextual cues support the hoarding of food in these non-human animals and the human hoarding of food and material goods. Hoarding in humans occurs under similar conditions as in other animals—like when people feared that there would not be enough during the global pandemic. However, hoarding also occurs as an individual difference across people, such that some people really don’t like clutter and seem to be Marie Kondo-ing their closet every week while others keep so much that they cannot even sleep in their beds or cook in their kitchens (as in Hoarding Disorder (HD), like on A&E). A proximate mechanism in the brain—involving areas that support emotionally-mediated decisions like the accumbens and frontal lobe—evolved to adaptively respond to uncertain or unpredictable situations with stress or anxiety, which promotes the stockpiling of resources. This is usually a good thing, but the system does sometimes goes awry—such as when people suffer from stress or trauma unrelated to the supply of resources. I review research across species, tasks, and methods to demonstrate commonalities in this (generally) adaptive and evolved mechanism, which is mediated by the brain and body. 

CSC Alumni Q&A Panel (February 11th, 2021)

Max Cantor - a psych major graduate of 13'. Max has obtained a master's of Cognitive Psychology and Cognitive Neuroscience at CU boulder. At UM, he was involved in research at the Computational Neurolinguistics Lab and the Culture and Language Development Lab. With experience in cloud computing data platforms and deploying machine learning models (Condé Nast and Insight Data Science), Max is currently a software engineer, focusing on data engineering and ML. 

Winter Mass Meeting (January 28th, 2021)

Fall 2020

Wilka Carvalho - "Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment" (November 5th, 2020)

First-person object-interaction tasks in high-fidelity, 3D, simulated environments such as the AI2Thor virtual home-environment pose significant sample-efficiency challenges for reinforcement learning (RL) agents learning from sparse task rewards. To alleviate these challenges, prior work has provided extensive supervision via a combination of reward-shaping, ground-truth object-information, and expert demonstrations. In this work, we show that one can learn object-interaction tasks from scratch without supervision by learning an attentive object-model as an auxiliary task during task learning with an object-centric relational RL agent. Our key insight is that learning an object-model that incorporates object-relationships into forward prediction provides a dense learning signal for unsupervised representation learning of both objects and their relationships. This, in turn, enables faster policy learning for an object-centric relational RL agent. We demonstrate our agent by introducing a set of challenging object-interaction tasks in the AI2Thor environment where learning with our attentive object-model is key to strong performance. Specifically, by comparing our agent and relational RL agents with alternative auxiliary tasks with a relational RL agent equipped with ground-truth object-information, we find that learning with our object-model best closes the performance gap in terms of both learning speed and maximum success rate. Additionally, we find that incorporating object-relationships into an object-model's forward predictions is key to learning representations that capture object-category and object-state. 


Wes Weimer - "Psychology and Computer Science: What Goes On In Our Brains When We Read And Write Code?" (October 22, 2020)

Is reading code more like reading prose or more like doing math? Is balancing a tree data structure like balancing a pencil on your finger? Is learning a programming language like learning a natural language? How can we make novices more like experts faster? To answer these questions, this talk presents a high-level summary of work at the intersection of computer science and psychology, in which techniques like functional magnetic resonance imaging are used to study patterns of neural activity associated with coding tasks. We will cover some background information on psychology as well as some recent results in computer science. In addition, we will highlight efforts involving U-M undergraduate researchers and elaborate on career paths for those interested in pursuing similar topics. 

Joshua Ackerman - "The Psychology of Pathogen Avoidance: How Does It Work and How Relevant Is It for Understanding Pandemic Behavior?" (October 15, 2020)

Infectious diseases have been some of humanity's biggest killers. Fortunately, we possess an evolved psychology of pathogen avoidance - a system of mental mechanisms that help us identify, track, and respond to such dangers, thereby reducing risks of infection. Unfortunately, this system is imperfect - we mistake which information is diagnostic, leading to faulty assumptions, pernicious attitudes, and bad decisions. I will review recent work in our lab focusing on how we conceptualize pathogen threats and consequences of this process. Additionally, I will discuss when our understanding of pathogen avoidance psychology can inform explanations of pandemic behavior, and more importantly, why it might not. 


Hyesue Jang  - "Motivation Inside or Out?" (September 24, 2020)

Why do we do the things we do? Computational models in Cognitive Science such as Reinforcement Learning often focus on extrinsic motivation. However, motivational researchers have made a distinction between extrinsic and intrinsic motivation depending on whether motivation comes from outside (extrinsic) or inside (intrinsic) an individual. Research has shown that there is an interesting relationship between extrinsic rewards and intrinsic motivation. Based on this relationship, we will discuss how to effectively use external rewards to motivate behaviors. 

Fall Mass Meeting (September 17, 2020)

Winter 2020

Alumni Q&A with Claire Butz (April 9, 2020) 

Claire Butz is a University of Michigan Alumna (class of 2018) currently living in Chicago. She was born and raised in Ann Arbor, so she holds the U of M community close to her heart. Claire majored in Cognitive Science (Decision & Cognition track) with a minor in Business. While she was an undergrad, she worked at the Michigan Daily student-run newspaper and was a fellow at the Ross School of Business' Center for Positive Organizations. Currently, she works as an associate manager research analyst for investment research firm Morningstar Inc and is a level 2 Chartered Financial Analyst candidate. 

Dr. Taraz Lee - "The costs and benefits of cognitive control and motivation during skilled action.(April 2, 2020)

How do processes like attention and cognitive control (and related activity in the prefrontal cortex) interface with sensory and motor brain regions to help (or hurt) successful behavior? To investigate these issues, I use a combination of functional MRI, non-invasive brain stimulation via TMS, and behavioral experiments.  Some of my recent research has focused on the phenomenon of choking under pressure.  In situations in which people are the most motivated, they often fail.  What are factors that lead to failures in performance?  What neural systems are involved in supporting superior performance and how are they affected in a variety of motivational contexts?  Does changing the focus of attention protect against choking?

Upperclassmen Q&A panel (February 20, 2020) 

Got questions about research? Summer plans? — Or that big application that's always on your to-do list? Ask your questions to a panel of upperclassmen!

Professor Ed Sarath - “Creativity, Consciousness, & Cognition: Arts-Based Integral Distinctions" (February 6, 2020) 

This talk explores distinctions and relationships between consciousness and cognition through the lens of an emergent worldview called Integral Theory (IT), with insights from artistic creativity guiding the inquiry. Drawing widely from disciplines across the sciences and humanities as well as age-old spiritual wisdom, IT posits a remarkably expansive vision of human nature and developmental potential—at the core of which is consciousness development. From an IT vantage point, cognition has to do with the activity of the mind, Put another way, cognition is to consciousness as the wave is to the ocean. Artistic creativity, particularly as it manifests in improvised music, can be seen as a bridge between the two realms and helps illuminate them as part of an overarching wholeness of subjective experience. The arts-consciousness relationship also helps us move past conventional boundaries and labels when it comes to academic disciplines, with longstanding tensions between science and spirituality/mysticism a common, and unnecessary, casualty of such boundaries.


Dr. Alexandra Rosati - "Evolving the Human Mind: What Our Primate Cousins Reveal about Human Cognition." (January 23, 2020)

Abstract: "Why do humans exhibit flexible, intelligent behavior? Comparative studies of primates, our closest relatives, can help us understand the evolutionary origins of complex human cognition. I will present research examining how other primates like chimpanzees think about the world to address three main questions: how do other animals solve ecological problems like finding food, how do they solve social problems like finding friends, and how do their abilities change and develop over their lifetime? By integrating cognitive science with evolutionary theory, we can understand humans in the context of the natural world." 

CSC Mass Interest Meeting (January 16, 2020) 

We'll be going over our upcoming events as well as other ways you can get involved. We have planned professor talks and our annual undergraduate colloquium (check out last year's), so make sure to attend for more information. There you can Learn more about our events, See ways you can get involved with the cognitive science community, Ask us questions, Eat pizza and meet new people!

Fall 2019

Alumni Q&A with Arthur Wandzel (December 5, 2019) 

Humans do not see a visual scene as pixels; rather they are able to pick out objects of interest and selectively reason about them. How is this possible? and more importantly... How does this improve decision-making? Fascinated by perception, I pursued a degree in Biopsychology, Cognition, and Neuroscience (BCN) from the University of Michigan in 2015. After obtaining a M.S. in Computer Science from Brown University, I now study robotics as a research scientist in Singapore. My interests are at the intersection of robotics and reinforcement learning, consisting of developing machine learning algorithms for object-based perception and reasoning. In our discussion, I can answer any questions you may have. Throughout my intellectual journey, there were many highs-and-lows, failures, successes, and realized moments of self-doubt and self-confidence. With this perspective in mind, I hope to shed light on insights that will help you throughout your own intellectual journey to pursue how the mind works.

Alumni Q&A with Nicole Cuneo (November 21, 2020) 

I graduated from the University of Michigan in 2018, with a degree in Cognitive Science on the Cognition and Language track. As an undergraduate, I worked at the Gelman Conceptual Development lab during the school year and at Columbia University Medical Center during the summer. My first full time job after graduation was as a lab manager for Dr. Susan Gelman, at the University of Michigan. I recently moved to work as a Lab Manager/Research Associate for Dr. David Lewkowicz at Haskins Laboratories, at Yale. My primary interests are in how we can use language in a clinical setting, especially in the diagnosis of behavioral disorders. At Haskins, I currently am researching multisensory cohesion and its role in infant and child development. My goal is to obtain my PhD in Clinical Psychology, with a focus on language development.

Reinforcement Learning Workshop 4-part Series

We will host a Reinforcement Learning (RL) Workgroup for everyone who's interested in Reinforcement Learning research or application! Loosely defined, Reinforcement Learning is the learning algorithm that uses reward and punishment to find the best way of navigating the environment. In recent years, RL has gained increasing popularity in Cognitive Science, Artificial Intelligence, Robotics and Financial Trading Industry. In this four-session workshop, we will cover the basics of Reinforcement Learning and start building simple RL agents together. A list of topics that will be covered includes: Markov Decision Process,  Dynamic Programming, Monte Carlo Method, Temporal Difference Learning. A list of environments that we will be playing with includes Black Jack and Grid World. At the end of the workshop, we will be hosting a mini "hackathon" where people can come together, socialize, and build agents. As we try our best to make this workgroup inclusive to everyone, no prior knowledge is assumed. Come with a passionate heart and an active mind!


Mass Interest Meeting (September 19, 2020)