Satellite Events
August 11, 2025, University of Amsterdam, REC-A building (main CCN 2025 conference venue)
Computational insights into clinical disorders
11:30 am - 2:30 pm - Room A2.11
Organizers: Marcus Daghlian, Serge Dumoulin, Frans Cornelissen
This session explores cutting-edge computational approaches to capture visual properties using functional MRI in disorders of neurology (Haak) and ophthalmology (Daghlian). Next, we examine how computational approaches extend to visual behaviour (Schulte) and the auditory system, e.g., tinnitus (Moerel). Last, we examine how computational models provide insights into sight recovery using brain computer interfaces (Klink) and gene therapy (Dekker).
For more information and registration see: https://dlwiki.nin.nl/ccn_2025
Recurrent neural networks making decisions
3:00 - 6:00 pm - Room TBA
Organizers: Manuel Molano-Mazón & Jorge Mejias
Advances in artificial intelligence and computational neuroscience are transforming our understanding of decision-making processes in the brain. This workshop will bring together experts and researchers to discuss cutting-edge methodological innovations at the intersection of neuroscience, cognitive science, and AI. We aim to explore how novel computational approaches can enhance our ability to study and model decision-making. Confirmed speakers include Chris Summerfield, Joao Barbosa, Giulia Crocioni, Manuel Molano-Mazón, and Jorge Mejias
From Child to Machine Learning: The potential and challenges of translating Developmental Principles into Neural Network Design
3:00 - 6:00 pm - Room A2.11
Organizers: Tessa Dekker, Lukas Vogelsang & H.Steven Scholte
This workshop bridges human cognitive development principles with AI visual learning systems. Starting with an overview of developmental psychology in neural network design, we'll examine curriculum design for structuring training data, architectural constraints that reflect developmental limitations, and evaluation metrics for measuring human-like learning trajectories. Through collaborative break-out sessions and a final panel discussion, participants will develop interdisciplinary research agendas aimed at creating neural networks that learn more like humans, revealing insights into efficient learning with minimal data.
For more information and to register: https://sites.google.com/view/child2mlandback?usp=sharing
Biologically Plausible Learning
3:00 - 6:00 pm - Room A2.09
Organizers: Sander Bohte & Marcel van Gerven
While the brain clearly is able to apply credit assignment, optimizing the wiring and neural properties to better behave in an ever-changing world, the underlying mechanism is an active topic of research. This workshop aims to bring together researchers working on neural learning algorithms that have increased biological plausibility, such as local approximations of error-backpropagation and/or alternative learning schemes that are compatible with what is known about learning in the brain. A select set of invited speakers will present their work, in addition to contributed posters. The aim is to highlight current developments and state-of-the-art, and also limitations, targeting both computational and theoretical neuroscientists working on the edge of AI, and vice versa.
For more information and registration, see: https://sites.google.com/bohte.com/ccn25-biolearning-satevent/home
Contributed posters are solicited with deadline June 8, sent by email to
Computational cognitive neuroscientists for social good
3:00 - 6:00 pm - Room A1.02
Organizers: Ili Ma, Jessica Thompson, Anne Urai
We live in times when public trust in science is under threat, misinformation is rife, AI ethics are of increasing concern and climate change is increasingly affecting communities worldwide. How do scientists see ourselves and our role in this world, and can we use our skills for social good? This session will explore ways to to extend the impact of our scientific work beyond our laboratories and models, and will critically evaluate how to fulfil our responsibility as scientists during times of significant social and technological change.
For latest info on this event:
https://anneurai.net/2025/05/05/ccn-for-social-good-2025-satellite-event/
Modeling the Physical Brain: Spatial Organization and Biophysical Constraints
11:30 am - 6:00 pm - Room A2.07
Organizers: Atlas Kazemian, Yash Shah, Johannes Mehrer, Dan Yamins, Martin Schrimpf
Many recent computational models of the brain address “functional” features of neuronal activity – that is, information-processing patterns of units in the system, treated as abstracted function of stimulus input or a time variable. However, the real brain is a physical device embedded in space, exhibiting reliable spatial organization, strongly constrained by biophysical requirements, and subject to substantial size, weight, and power limitations. Recent work in NeuroAI has begun to address these key facts, leading to an array of exciting theoretical modeling approaches to the brain as a biophysical system; exposing a set of new and unsolved empirical questions; and enabling a spectrum of potentially high-impact real-world neural applications. This symposium will focus on each of these components, including cutting-edge presentations on theory, experiment and application; and across a spectrum of brain areas and systems.
For more information and registration see: https://neuroailab.github.io/modeling-the-physical-brain/
The Metacognitive Science Meeting
11:30 am - 6:00 pm - Room A1.03
Organizers: Megan Peters, Steve Fleming, Doby Rahnev, Lucie Charles
The Metacognitive Science Meeting is a venue for interdisciplinary discussions around all aspects of metacognition, cross-cutting psychology, neuroscience, philosophy and computer science. Our community represents an entirely new model of scientific community building: a roving satellite meeting, designed to approach and synergistically mingle with relevant scientific communities across philosophy, psychology, cognitive science, neuroscience, and artificial intelligence on an annual cycle. Registration is requested for capacity monitoring purposes; walk-ins can likely be accommodated day-of as space permits.
Modelling Emotion and Morality in Brain and Machine
11:30 am - 6:00 pm - Room A2.12
Organizers: Philip Kragel & Frederic Hopp
This workshop brings together researchers in computational cognitive neuroscience with shared interests in emotion and morality. It aims to explore how specific emotions (like anger or compassion) relate to moral judgments (such as harm or fairness), using cutting-edge tools like computational modeling and multivariate pattern analysis. The event features keynote lectures on decoding brain activity and modeling with neural networks, as well as collaborative, hands-on sessions using provided neuroimaging datasets. Participants will form research groups two months in advance and receive materials and software guidance via GitHub to prepare for analysis. To participate, attendees must sign up through the workshop’s GitHub page. The workshop emphasizes practical collaboration and aims to produce joint research publications. A follow-up online meeting in the fall will support continued progress and discussion. Ultimately, the workshop seeks to deepen our understanding of how emotion and morality are represented in the brain—and how this knowledge can be modeled across humans and machines.
For more information and registration: https://github.com/Moral-Computing-Lab/ccn25_emorality?tab=readme-ov-file