For people who are interested in language and the brain, the Groningen Spring School on Cognitive Modelling offers an opportunity to learn about computational models of brain activity and think through how they can be applied to your research.
It is not specific to linguistics, but the modelling tools and methods that are taught here have been used to relate LFG representations of language structure to models of how that structure may be built incrementally in the brain.
If you have questions or want to know more, I’d be happy to answer them: s.m.jones@rug.nl
————————————————————————— Dr Stephen Jones Assistant Professor, Modelling Language and Cognition Bernoulli Institute University of Groningen
Office location: Room 332, Bernoulliborg Nijenborgh 9 9747AG Groningen —————————————————————————
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*REMINDER: the early registration deadline of the Sixth Groningen Spring School on Cognitive Modeling ends on February 25*
– ACT-R, Nengo, PRIMs –
Date: *27-31 March 2023*
Location: *Groningen, the Netherlands*
Fee: *€ 305 (late fee after February 26 will be € 355)*
More information and registration: *www.cognitive-modeling.com/springschool http://www.cognitive-modeling.com/springschool*
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Dear colleagues and students,
The sixth Spring School on Cognitive Modeling in Groningen (27-31 March 2023) is open for registration until 19 March. There is an early registration discount until 25 February.
The Spring School will cover three different modeling paradigms: ACT-R, Nengo, and PRIMs (see below for a brief explanation of each).
Past years have shown that students get most out of the spring school if they really emerge themselves into a modeling paradigm. We therefore planned more time for actually working on the hands-on exercises this year. We recommend you choose one topic for which you will attend both the lectures as well as do the exercises (tutorials). In addition, you can select a second paradigm, for which you attend the lectures only.
To give students a broader picture of cognitive modeling, there will be three additional guest lectures throughout the week. These lectures each give an introduction to yet another modeling paradigm: accumulator models (Leendert van Maanen), error-driven learning models (Jacolien van Rij), and dynamical systems (Herbert Jäger). All students are encouraged to attend those lectures.
To round of the program, there will be a poster session, where students present themselves and their research, as well as a city tour, and our (in)famous spring school dinner.
*Registration closes on March 19. The early registration deadline ends February 25.*
Please feel free to forward the information to anyone who might be interested in the Spring School.
We are looking forward to welcoming you (again) in Groningen,
The Spring School team
springschool@rug.nl
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ACT-R
Teachers: Jelmer Borst, Stephen Jones, & Katja Mehlhorn (University of Groningen)
Website: http://act-r.psy.cmu.edu
ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI.
Nengo
Teacher: Terry Stewart and Andreas Stöckel (University of Waterloo)
Website: http://www.nengo.ca
Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data.
PRIMs
Teacher: Niels Taatgen (University of Groningen)
Website: https://www.ai.rug.nl/~niels/prims/index.html
How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction.