Mental Model Updating and Eye Movements
You are invited to participate in a research study in the Department of Psychology at the University of Waterloo. The purpose of this study is to examine how human brains use predictive mental models to make predictions about expected stimuli and guide behaviour. Previous research has used eye tracking to observe saccadic planning in order to establish implicit measures of updating. Along with the implicit measures, this study will incorporate explicit predictions. The duration of this study is under one hour, and in appreciation you will receive $10.
If you wish to participate in this study, or wish to know more about the study, please contact Hanbin Go.
On Monday (09-April-2018) Syaheed Jabar successfully defended his PhD thesis. In the course of a short 4.5 years he successfully pursued first a Masters, and then a Doctorate. In the course of this work he developed techniques using psychophysics, eye tracking, EEG, evoked potentials, and computational modelling. As well as expanding our response recording tools to include the XBox controller. Along the way he published six papers, numerous posters, and there are more to come. He is a remarkable scientist and a generous collaborator. Good Luck and Congratulations!
Brain Day is coming to the University of Waterloo this April 6, 2018. All are welcome. The event is free, and we have a marvelous line up of speakers that will cover the full gamut from philosophy of mind, to human decision making, to computational models and tools for neuroscience. The first talk will begin at 9:00 AM (with coffee available before). The venue will be in the main lecture hall on the main floor of EV3 on the University of Waterloo campus.
#### Brian Knutson - Title :: Neural prediction of risky choice: From rats to risk markets - Affiliation :: Stanford University - Abstract :: Due in part to advances in neuroimaging techniques, investigators can now predict risky choices in individual humans on a trial-to-trial basis. I’ll discuss two new directions of this work, both “down” to apply neuroscience tools to causally manipulate relevant circuits in animal models, and “up” to explore whether neural activity in groups of individuals can forecast the movement of option prices at the market level. Together, relevant findings may help link levels of analysis to inform a coalescing “deep science” of risky choice.
- Title :: Computational Approaches to Mapping and Modeling Brain Networks
- Affiliation :: Indiana University Bloomington
- Abstract :: Modern neuroscience is in the middle of a transformation, driven by the development of novel high-resolution brain mapping and recording technologies that deliver increasingly large and detailed “big neuroscience data”. Network science has emerged as one of the principal approaches to model and analyze neural systems, from individual neurons to circuits and systems spanning the whole brain. A core theme of network neuroscience is the comprehensive mapping of anatomical and functional brain connectivity, also called connectomics. In this presentation I will review current themes and future directions of network neuroscience, including comparative studies of brain networks across different animal species, investigation of prominent network attributes in human brains, and use of computational models to map information flow and communication dynamics. I will argue that network neuroscience represents a promising theoretical framework for understanding the complex structure, operations and functioning of nervous systems.
- Title :: Minds Without Brains
- Affiliation ::University of Iowa
- Abstract :: Sci-fi speculation about brainless creatures with minds is so yesterday. New biological research appears to show that actual brainless species – such as plants and bacteria – can make decisions, communicate linguistically, or anticipate or expect rewards (among other examples). Such cases should be taken seriously as challenges to traditional views of the mind-brain relation. I’ll review some of the evidence for these research claims and argue that they reveal a fundamental transition away from anthropocentrism in our theorizing about the mind.
- Title :: The Computing Power of Wetware
- Name/Affiliation :: University of Washington
- Abstract :: Our world is becoming increasingly influenced by machine intelligence, as artificial neural networks, trained to carry out sophisticated tasks, become part of our daily lives. Powerful as they are, our brains and the nervous systems of even simple organisms perform at levels that are— for now– beyond the reach of these networks, in terms of specific capabilities, rapid learning, the ability to adapt and the energy efficiency with which they run. What is it about “wetware” that endows it with its special properties? Evolution has equipped nervous systems with an exquisite array of complex interacting parts; Adrienne Fairhall will discuss some of the physics and biology that may underlie the remarkable performance of living computers.
08:30 am: Refreshments (pastries and institutional coffee) - EV3 Atrium
09:00 am: Welcome (EV3-1408) same for all lectures
09:15 – 10:15 am: Knutson
10:15 – 10:45 am: Coffee Break (coffee in atrium)
10:45 – 11:45 am: Figdor
12:00 – 01:30 pm: Lunch Break
01:30 – 02:30 pm: Sporn
02:30 – 03:00 pm: Coffee Break (coffee in atrium)
03:00 – 04:00 pm: Fairhall
04:15 – 05:30 pm Reception (EV3 Atrium - outside lecture hall)
Hope to see you there.
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