37.1542, Summer Schools: School on Analytical Connectionism (Sweden)

[The LINGUIST List]

LINGUIST List: Vol-37-1542. Wed Apr 22 2026. ISSN: 1069 - 4875.

Subject: 37.1542, Summer Schools: School on Analytical Connectionism (Sweden)

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Date: 21-Apr-2026
From: Erin Grant [eringrant at nyu.edu]
Subject: School on Analytical Connectionism


School on Analytical Connectionism

Host Institution: Chalmers University of Technology
Website: https://www.analytical-connectionism.net/school/2026/

Dates: 17-Aug-2026 - 28-Aug-2026
Location: Gothenburg, Sweden

Minimum Education Level: Master's student, Ph.D. student, postdoc

Focus: This year's edition has a topical focus on language
acquisition. We will discuss questions like: How can structured
linguistic knowledge emerge during learning from naturalistic input?
What principles govern the representation of this structured
linguistic knowledge in neural systems? How do these principles enable
compositionality and other forms of generalisation in language? And,
in answering these questions, can we move from empirical
demonstrations with neural networks toward mathematical principles of
language acquisition?
Description:
Analytical Connectionism is a 2-week summer course on analytical
tools, including methods from statistical physics and probability
theory, for probing neural networks and higher-level cognition. The
course brings together neuroscience, psychology and machine-learning
communities, and introduces attendees to analytical methods for neural
network analysis and connectionist theories of higher-level cognition
and psychology.
Connectionism, a key theoretical approach in psychology, uses neural
network models to simulate a wide range of phenomena, including
perception, memory, decision-making, language, and cognitive control.
However, most connectionist models remain, to a certain extent, black
boxes, and we lack a mathematical understanding of their behaviours.
Recent progress in theoretical neuroscience and machine learning has
provided novel analytical tools that have advanced our mathematical
understanding of deep neural networks, and have the potential to help
make these “black boxes” more transparent.
Tuition: 2 000 SEK
Tuition Explanation: There is a course registration fee of 2 000 SEK.
Attendees are expected to cover their own travel, accommodation and
other subsistence expenses. Lunch and coffee/tea breaks will be
provided on course days, and there will be one school dinner.
Financial Aid Applications accepted until 01-May-2026
A small number of travel grants may become available to support
successful candidates who find it difficult to attend the School for
financial reasons.
Financial Aid Instructions:
To be considered, please complete all questions in the "Financial
assistance application" section of the application form. You will be
asked to provide:
1. An estimate of your projected costs of travel and accommodation to
attend the School (in Swedish krona, SEK);
2. A statement explaining how your circumstances are such that you may
find it difficult to take up a place at the School for financial
reasons (of up to 150 words).

Linguistic Field(s): Cognitive Science
                     Computational Linguistics
                     Language Acquisition
                     Linguistic Theories
                     Neurolinguistics

Registration Open until 01-May-2026

                Email: analytical-connectionism at googlegroups.com

Apply on the web:
https://docs.google.com/forms/d/e/1FAIpQLSe_v4z2ZBvdvjVgqT8LRXFJtqYvLFaRdWlOu6HwDykRdpfynA/viewform

Registration Instructions:
Please complete all sections of the application form to apply for the
2026 School on Analytical Connectionism. To fill out the application
form, the following materials are required:
1. A curriculum vitae (CV) or résumé in PDF format;
2. A summary of your academic degrees;
3. A statement of research interests (of up to 150 words);
4. A statement of motivation to attend the School (of up to 150
words);
5. (Optional) a statement about community-building and inclusion
activities (of up to 150 words).



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