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Poster Session A and Coffee

Tuesday, August 12, 1:30 – 4:30 pm, de Brug & E‑Hall

Title	Presenter	Topic Area
Approximate Bayesian computation with a complex internal model naturally combines probabilistic inference and heuristics	Ádám Koblinger	Predictive Processing & Cognitive Control
Bayesian modeling reveals distinct priors for tactile and proprioceptive localization	Hüseyin Orkun Elmas	Predictive Processing & Cognitive Control
Behavioral Dynamics of Cognitive and Metacognitive Conflict	Jintao Xing	Predictive Processing & Cognitive Control
Characterizing ADHD-Related Inhibitory Control Deficits via Multidimensional EEG Signatures	Negin Gholamipourbarogh	Predictive Processing & Cognitive Control
Dynamics of neural representations that support generalization under continual learning	Daniel L. Kimmel	Predictive Processing & Cognitive Control
Estimating the Synaptic Efficacies of the Drosophila Optical Lobe Full Connectome with Predictive Coding	Rintaro Kai	Predictive Processing & Cognitive Control
From seeing to seeking: belief-based exploration in gamified environments	Thirza Dado	Predictive Processing & Cognitive Control
Homeostasis After Injury: How Intertwined Inference and Control Underpin Post-Injury Pain and Behaviour	Pranav Mahajan	Predictive Processing & Cognitive Control
Leveraging Multi-task Structure for Cognitive Flexibility	Xiaoyu K Zhang	Predictive Processing & Cognitive Control
Measuring Cognitive Control in Vision-Language Models	Dezhi Luo	Predictive Processing & Cognitive Control
Metacognitive insight into decision caution	Yvonne F. Visser	Predictive Processing & Cognitive Control
Modality-Agnostic Representations are Widespread Across the Cortex	Mitja Nikolaus	Predictive Processing & Cognitive Control
Neural correlates of prediction during naturalistic event perception	Yuye Huang	Predictive Processing & Cognitive Control
Predictive Coding algorithms induce brain-like responses in Artificial Neural Networks	Dirk C. Gütlin	Predictive Processing & Cognitive Control
Prefrontal Representations During Learning Reflect Probabilistic Computations Across Domains	Fahd Yazin	Predictive Processing & Cognitive Control
Pupil dilations reflect surprisal during rapid auditory belief updating	Robert Baumgartner	Predictive Processing & Cognitive Control
Response Strategy Reverses Serial Dependence: From Attraction to Repulsion	Aviel Sulem	Predictive Processing & Cognitive Control
Sequence Models for By-Trial Decoding of Cognitive Strategies from Neural Data	Rick den Otter	Predictive Processing & Cognitive Control
Situational Dimensions that drive Event Boundaries	Gabriel Arthur Daniel Kressin Palacios	Predictive Processing & Cognitive Control
Suboptimal human decision-making reflects an efficient information bottleneck on inference	Jacob A Parker	Predictive Processing & Cognitive Control
Surprising narrative events elicit convergent responses in the brain, subjective reports, and large language models	Ziwei Zhang	Predictive Processing & Cognitive Control
Testing the predictive processing model of placebo hypoalgesia using multivariate hierarchical models: evidence for precision weighted effects of expectations and Bayesian updating of expectations accounting for volatility	Arthur S. Courtin	Predictive Processing & Cognitive Control
The Influence of Expectations on Recurrent Processing During Challenging Image Recognition	Paulo A. Ortiz	Predictive Processing & Cognitive Control
Time-Resolved EEG Decoding Reveals a Flip from Enhanced Expected to Unexpected Action Outcomes	Kirsten Rittershofer	Predictive Processing & Cognitive Control
Valence Computation as Higher-order Inference via Conceptual Self-Processing	Yuyue Jiang	Predictive Processing & Cognitive Control
Where you look in the past biases your social inference	Sangkyu Son	Predictive Processing & Cognitive Control
(Dis)similarities in Temporal Neural Dynamics during Reading and Listening	Jiawei Li	Language & Communication
Can LLMs inform us about predictive processing during natural listening in MEG?	Sahel Azizpour	Language & Communication
Cortical representations are similar across English and Chinese for both concrete and abstract concepts	Mathis Lamarre	Language & Communication
Decoding Semantics: A Multi-Modal CNN as a Model for Human Literacy Acquisition	Tommy Clausner	Language & Communication
Finding Modularity in Large Language Models: Insights from Aphasia Simulations	Jixing Li	Language & Communication
From Language to Cognition: How LLMs Outgrow the Human Language Network	Badr AlKhamissi	Language & Communication
How Does an LLM Process Conflicting Information In-Context?	Ivan Andre Naranjo Coronel	Language & Communication
Intermediate Layers of LLMs Align Best With the Brain by Balancing Short- and Long-Range Information	Michela Proietti	Language & Communication
Many-to-Many, Yet Convergent: Insights into the alignment of Vision and Language Models	Zoe Wanying He	Language & Communication
Metric-Learning Encoding Models Identify Processing Profiles of Linguistic Features in BERT’s Representations	Robin Sobczyk	Language & Communication
Multilingual Computational Models Reveal Shared Brain Responses to 21 Languages	Andrea Gregor de Varda	Language & Communication
Neural Signatures of Argument Structure Constructions	Pegah Ramezani	Language & Communication
Not all induction heads are created equal	Tankred Saanum	Language & Communication
Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants	Louis Jalouzot	Language & Communication
Temporal dynamics of natural sounds representation in the human brain	Marie Plegat	Language & Communication
Temporal Straightening as a Predictive Mechanism in Human Language Processing	Jiaming Xu	Language & Communication
The developmental trajectory and neuroanatomical correlates of speech comprehension	Jill Kries	Language & Communication
The Representational Alignment between Humans and Language Models is implicitly driven by a concreteness effect	Cosimo Iaia	Language & Communication
Transformer Dynamics: A Neuroscientific Approach to Interpretability of Large Language Models	Jesseba Fernando	Language & Communication
Uncovering Linguistic Representations in MEG Data Using Deep Learning	Nikola Kölbl	Language & Communication
Vowel Duration Is Encoded Relative to the Contextual Speech Rate Throughout Cortical Auditory Processing	Mara Wolter	Language & Communication
Working Memory Reactivation Across Embedded Structures during Natural Language Comprehension	Jiaqi Li	Language & Communication
‘NOT GATE’, Not ‘GATE’: Long-term Memory Interplay with Working Memory via Reversal Coding	Shengyuan Wang	Memory, Spatial Cognition & Skill Learning
A Spatial Tagging Mechanism for Biasing Gaze and Reflexive Selection in Memorized Visual Space	Priyanka Gupta	Memory, Spatial Cognition & Skill Learning
An Algorithmic Model of Working Memory Based on Sparse Variational Gaussian Processes	Dongyu Gong	Memory, Spatial Cognition & Skill Learning
An Entorhinal-hippocampal Systems Model for Spatial Navigation and Memory	Zilong Ji	Memory, Spatial Cognition & Skill Learning
Association Learning with Myelin Plasticity	Charles Shvartsman	Memory, Spatial Cognition & Skill Learning
Cognitive Underpinnings of Dyscalculia: Insights from Behavioral Modeling	Maike Renkert	Memory, Spatial Cognition & Skill Learning
Continuous-time Bayesian causal structure learning explains dopamine and behavioral anomalies in associative learning experiments	John Vastola	Memory, Spatial Cognition & Skill Learning
Decoupling levels of learning: behavioral evidence for dissociable low- and high-level structure learning	Beáta Tünde Szabó	Memory, Spatial Cognition & Skill Learning
Emergence of the Primacy Effect in Structured State-Space Models	Takashi Morita	Memory, Spatial Cognition & Skill Learning
Enabling Lifelong Learning in AI with Biological Neural Networks Based on Short-Term, Working, and Long-Term Memory	Hanav Modasiya	Memory, Spatial Cognition & Skill Learning
Enhancing OCD classification with Transformer-based deep learning on resting-state fMRI: insights from the ENIGMA-OCD cohort and UK Biobank pretraining	Maria Pak	Memory, Spatial Cognition & Skill Learning
Environmental Conflict Modulates Pavlovian Bias: A Computational Account	Priyanshu	Memory, Spatial Cognition & Skill Learning
Evaluating Models of Naturalistic Episodic Memory	Mathis Pink	Memory, Spatial Cognition & Skill Learning
Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization	Nora Wolf	Memory, Spatial Cognition & Skill Learning
Functional Role Division in Working Memory Emerges from Intrinsic Neural Timescale Diversity	Tomoki Kurikawa	Memory, Spatial Cognition & Skill Learning
How neurocomputational mechanisms of number perception adapt to prior expectations	Gilles de Hollander	Memory, Spatial Cognition & Skill Learning
Introducing the CORTEX Database: COntext-dependent Reinforcement learning and Transfer EXperiments	Isabelle Hoxha	Memory, Spatial Cognition & Skill Learning
Learning task rule updating strategies requires extensive practice	Shengjie Xu	Memory, Spatial Cognition & Skill Learning
Not Just Habits: How Feedback Sensitivity and Belief Updating Shape OCD	Lev Kiar Avberšek	Memory, Spatial Cognition & Skill Learning
Perspective: Home-based Sleep Intervention for Dementia Prevention	Tomasz M Rutkowski	Memory, Spatial Cognition & Skill Learning
Putting Working Memory to Work	Ziyi Duan	Memory, Spatial Cognition & Skill Learning
Rat on a sphere: Exploring alternate grid cell representations on a hemisphere	Muhammad Sahal Goolam	Memory, Spatial Cognition & Skill Learning
Simultaneity or Rhythmic sampling in working memory? Examining the temporal dynamics of maintaining multiple items in human EEG and gaze patterns	Felix Bröhl	Memory, Spatial Cognition & Skill Learning
Soundscape Neuroarts and Cognitive Well-being: EEG and fNIRS Approach	Tomasz Komendzinski	Memory, Spatial Cognition & Skill Learning
The influence of blocked versus interleaved training regimes and sleep on multi-task learning	Mina Habibi	Memory, Spatial Cognition & Skill Learning
Unveiling Neural Mechanisms of Memorability: Generative AI Reveals Brain-Behavior Links	Hyewon Willow Han	Memory, Spatial Cognition & Skill Learning
What are the best features to decode the levels of working memory load from ECoG data?	Funda Yilmaz	Memory, Spatial Cognition & Skill Learning
A joint model of risk-taking and learning related to risks based on behavioral and prefrontal oxygenation measures	Murat Perit Cakir	Reward, Value & Social Decision Making
A new multi-level Theory of Mind model for strategic decision-making scenarios	Giorgio L Manenti	Reward, Value & Social Decision Making
Adaptive attentional prioritisation of advice for decision making	Rumandeep K. Hayre	Reward, Value & Social Decision Making
Bidirectional Interactions between Local and Global Confidence Explain the Pervasive Effect of Confidence Biases	Hélène Van Marcke	Reward, Value & Social Decision Making
Computational Modeling of Choice Frequency in Habitual Behavior: A Pre-Registered fMRI Study	Hugo Fluhr	Reward, Value & Social Decision Making
Computational Modeling of Heuristic and Base-rate Integration in Reasoning	Jérémie Beucler	Reward, Value & Social Decision Making
Confidence in approach-avoidance conflict	Oleg Solopchuk	Reward, Value & Social Decision Making
Decision Commitment with Incomplete Evidence	Juan R. Castiñeiras de Saa	Reward, Value & Social Decision Making
Decision-making reference point biases in the dorsal anterior cingulate cortex	Demetrio Ferro	Reward, Value & Social Decision Making
Discounting and Drug Seeking in Biological Hierarchical Reinforcement Learning	Boris S. Gutkin	Reward, Value & Social Decision Making
Disentangling consistency and reward in repeated moral decisions with mouse tracking and fMRI	Xinyi Julia Xu	Reward, Value & Social Decision Making
Distinct Microstructural Brain Correlates of Inter-individual Differences in Reward Learning and Decision-Making	Melina Vejlø	Reward, Value & Social Decision Making
Distinct Value & Choice Information Across Putative Subtypes of Primate Orbitofrontal Neurons	Emirhan Bugra Albayrak	Reward, Value & Social Decision Making
Exertion of Effort Reduces the Willingness to Exert Effort for Rewards in the Future	Selma Lugtmeijer	Reward, Value & Social Decision Making
Experiential value neglect is robust to changes in learning architecture and nature of outcomes	Caroline Pioger	Reward, Value & Social Decision Making
Eye-tracking based Bayesian inference for adaptive decision making and planning processes in a dynamic environment	Sanghyun Park	Reward, Value & Social Decision Making
Fast and robust Bayesian inference for modular combinations of dynamic learning and decision models	Alexander Fengler	Reward, Value & Social Decision Making
Latent dimensions in neural representations predict choice context effects	Asaf Madar	Reward, Value & Social Decision Making
Meta-Reinforcement Learning in Homeostatic Regulation	Naoto Yoshida	Reward, Value & Social Decision Making
Mid-level arousal facilitates optimal behavioral state in humans and mice	Jan Willem de Gee	Reward, Value & Social Decision Making
Mouse lockbox: a sequential mechanical decision-making task for freely moving mice	Marcus Nicolaas Boon	Reward, Value & Social Decision Making
Neurocomputational modeling of leadership in delegation decisions	Hun S. Choi	Reward, Value & Social Decision Making
One-shot reinforcement learning decisions engage the hippocampus	Christopher S. Iyer	Reward, Value & Social Decision Making
Perceptual Choices and Confidence Judgements can be Modelled as a Single Accumulation Process	Kobe Desender	Reward, Value & Social Decision Making
Reward morphs non-spatial cognitive maps in humans	Nir Moneta	Reward, Value & Social Decision Making
Risk-sensitive reinforcement learning processes in the human brain drive impulsive choice	Rhiannon L Cowan	Reward, Value & Social Decision Making
Uncovering brain-wide planning strategies with deep RL: Lessons from the Tower of Hanoi	Austin Tudor David Andrews	Reward, Value & Social Decision Making
When jackpot misleads: The disrupting role of rare rewards in value learning	Luning He	Reward, Value & Social Decision Making
A more selective integration function to improve deep neural network models of visual perception	Michael W. Spratling	Visual Processing & Computational Vision
Anticipated Relevance Modulates Early Visual Processing	Lasse Dietz	Visual Processing & Computational Vision
Behavioural markers of recurrent processing in the brain	Timothee Maniquet	Visual Processing & Computational Vision
Brittle Brain Encoding: Poor Out-of-Distribution Generalization Shows the Human Brain is neither a Nintendo Entertainment System nor a Four-Layer Convolutional Neural Network	Yann Harel	Visual Processing & Computational Vision
Characterizing the temporal profile of meaning-making with visual art	Dominik Welke	Visual Processing & Computational Vision
Cross-Subject Brain Decoding for Naturalistic Movie Reconstruction	Myeonggyo Jeong	Visual Processing & Computational Vision
Deep neural networks can learn generalizable same-different visual relations	Alexa R. Tartaglini	Visual Processing & Computational Vision
Dynamical changes in functional organization resolve ambiguous motion perception	Alessandra Pizzuti	Visual Processing & Computational Vision
Evidence for Shepard’s Law in the Representational Spaces of Deep Vision Models	Daniel L. Carstensen	Visual Processing & Computational Vision
Gestalt processing in late-sighted children and deep neural networks	Lukas Vogelsang	Visual Processing & Computational Vision
Head-Direction Cells in Postsubiculum Show Systematic Parallax Errors During Visual Anchoring	Sven Krausse	Visual Processing & Computational Vision
High-Level Perceptual Learning for Initially Ambiguous Stimuli	Logan T. Dowdle	Visual Processing & Computational Vision
Human-like compositional visual inference through neural diffusion on syntax trees	Sylvia Blackmore	Visual Processing & Computational Vision
It’s a feature, not a bug: Multi-granular world models explain inattentional blindness	Mario Belledonne	Visual Processing & Computational Vision
Mapping Modular Processing of Compressed Videos Across Human Visual Cortex	Christina Sartzetaki	Visual Processing & Computational Vision
Modeling human visual neural representations by combining vision deep neural networks and large language models	Boyan Rong	Visual Processing & Computational Vision
Modeling the Hierarchy of the Human Olfactory Perceptual Space via Hyperbolic Embeddings	Farzaneh Taleb	Visual Processing & Computational Vision
Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms	Shreya Saha	Visual Processing & Computational Vision
Neural encoding with affine feature response transforms	Lynn Le	Visual Processing & Computational Vision
On the Origin of 3D Perception in Visual World Models	Wanhee Lee	Visual Processing & Computational Vision
Rapid unsupervised alignment with the natural image manifold	Ananya Passi	Visual Processing & Computational Vision
Rotating Snakes Illusion Reveals Limitations of Visual-Motion Models in Explaining Human Vision	Isabella Elaine Rosario	Visual Processing & Computational Vision
Sparks of cognitive flexibility: self-guided context inference for flexible stimulus-response mapping by attentional routing	Rowan P. Sommers	Visual Processing & Computational Vision
Straightening of Natural Visual Sequences in Video DNNs: the Role of Locality and Temporal Coherence	Anne W. Zonneveld	Visual Processing & Computational Vision
Testing a Learning Theory of Aesthetic Appeal Using Category Learning and Deep Neural Networks	Edward A Vessel	Visual Processing & Computational Vision
Top-Down Propagation of Neural State Boundaries During Movie Viewing	Linda Geerligs	Visual Processing & Computational Vision
Topographic Vision Transformers	Yash Shah	Visual Processing & Computational Vision
Universally Controversial Stimuli Reveal that Adversarial Robustness Improves DNN Prediction Accuracy across the Entire Human Auditory Cortex	David Skrill	Visual Processing & Computational Vision
Unravelling the relationship between location and categorisation improves convolutional neural networks	Jean-Nicolas Jérémie	Visual Processing & Computational Vision
Using Artificial Neural Networks to Understand Fluency in the Perception of Paintings	Yi Lin	Visual Processing & Computational Vision
Ventral Stream Responses to Inanimate Objects are Equally Aligned with AlexNet (2012) and Modern Deep Neural Networks	Leilany Torres Diaz	Visual Processing & Computational Vision
A Virtual Manipulation Task to Probe Human Interactions with Diverse Physical Objects	Giacomo Aldegheri	Object Recognition & Visual Attention
An Ecological and Objective Neural Marker of Implicit Identity Recognition	Meike Ramon	Object Recognition & Visual Attention
Behavioral relevance of high-dimensional neural representations	Chihye Han	Object Recognition & Visual Attention
Can Scene Graph Properties Explain the Neural Encoding Performance of Vision Transformers?	Helena Balabin	Object Recognition & Visual Attention
Comparing Object Selectivity in Visual Cortex and Topographic Deep Artificial Neural Networks	Davide Cortinovis	Object Recognition & Visual Attention
Deep Neural Networks Provide Insights into Distinct and Shared Selectivity for Faces and Bodies in Human Visual Cortex	Leonard E van Dyck	Object Recognition & Visual Attention
Distinct Computational Mechanisms Underlie Holistic Processing of Faces and Non-Face Line Patterns	Elaheh Akbari-fathkouhi	Object Recognition & Visual Attention
Evaluating Model-to-Human Alignment on Image Occlusion	Ehsan Tousi	Object Recognition & Visual Attention
Feature-based Modeling of Visual Attention in Autism: A Large-scale Online Eye-tracking Study	Qianying Wu	Object Recognition & Visual Attention
Five animacy dimensions and the CLIP model explain complementary components of visual representational dynamics and similarity judgments	Kamila Maria Jozwik	Object Recognition & Visual Attention
Glimpse prediction fosters graph-oriented scene representations aligned with the ventral visual cortex	Sushrut Thorat	Object Recognition & Visual Attention
How Decision-Process Information Shapes Inferences in Cooperative Interactions	Mrugsen Nagsen Gopnarayan	Object Recognition & Visual Attention
Isolating sparse, category-computing circuits in deep neural networks	Jeffery W. Andrade	Object Recognition & Visual Attention
Learning task-relevant visual features from large language model (LLM) embeddings	Michelle R. Greene	Object Recognition & Visual Attention
Neural representations of implied motion in body-selective regions revealed by caption-based encoding models	Ryuto Yashiro	Object Recognition & Visual Attention
Object Position, But Not Identity, Is Decodable During Object Permanence with MEG	Apurva Ratan Murty	Object Recognition & Visual Attention
Orientation Bias and Abstraction in Working Memory: Evidence from Vision Models and Behaviour	Fabio Bauer	Object Recognition & Visual Attention
Prior Scene Context Modulates the Dynamic Interplay Between Bottom-Up and Top-Down Neural Processes in Face Detection	Sule Tasliyurt Celebi	Object Recognition & Visual Attention
Temporal misalignment in scene perception: Divergent representations of locomotive action affordances in human brain responses and DNNs	Clemens Georg Bartnik	Object Recognition & Visual Attention
The human superior colliculus encodes looming- and object-related visual threat	Monica Thieu	Object Recognition & Visual Attention
Automated characterization of naturalistic behaviors in a chronic model of epilepsy	Aurélie De Groote	Brain Networks & Neural Dynamics
Communication versus computation: The hidden costs, shaping the brain's architecture	Kayson Fakhar	Brain Networks & Neural Dynamics
Emergent oscillations in a cortical column model of predictive coding with multiple interneuron types	Kwangjun Lee	Brain Networks & Neural Dynamics
Evidence accumulation across the senses in the face of causal uncertainty	Jochem Beurskens	Brain Networks & Neural Dynamics
Generalizable, real-time neural decoding with hybrid state-space models	Avery Hee-Woon Ryoo	Brain Networks & Neural Dynamics
Graph-Attention-Based Integration of Brain Structure and Function for Trait Anxiety Prediction: Preliminary Results	Jungyoun Janice Min	Brain Networks & Neural Dynamics
Harmonizing resting state functional MRI data to increase sample size and to classify tinnitus brain connectivity	Shagun Ajmera	Brain Networks & Neural Dynamics
Heterogeneous Effect of Input and Task-optimization on the Dynamics of Recurrent Neural Networks	Mohammad Taha Fakharian	Brain Networks & Neural Dynamics
Learning richness modulates equality reasoning in neural networks	William Lingxiao Tong	Brain Networks & Neural Dynamics
Multi-task batteries for individual brain mapping: Experimental design and implementation	Jörn Diedrichsen	Brain Networks & Neural Dynamics
Multi-task batteries for individual brain mapping: Optimal battery selection for brain parcellation and connectivity modeling	Bassel Arafat	Brain Networks & Neural Dynamics
nCREANN:Nonlinear Brain Connectivity and Diverse Applications	Nasibeh Talebi	Brain Networks & Neural Dynamics
Neural oscillations encode context-based informativeness during naturalistic free viewing	Songyun Bai	Brain Networks & Neural Dynamics
Partially recurrent neural networks maximize performance and minimize wiring	Marcus Ghosh	Brain Networks & Neural Dynamics
Representations of past and future event boundaries from naturalistic experience are reactivated in the Default Mode Network during recall	Avital Hahamy	Brain Networks & Neural Dynamics
Rhythmic interactions between early visual areas and prefrontal cortex predict bistable perception	Yanni Zhang	Brain Networks & Neural Dynamics
Sampling Rate and Task Selection in EEG-Authentication	Polina Tapal	Brain Networks & Neural Dynamics
SwiFT V2: Towards Large-scale Foundation Model for Functional MRI	Jiook Cha	Brain Networks & Neural Dynamics
Up-down states and criticality in a chain of adaptive excitable integrators	Mario Martinez-Saito	Brain Networks & Neural Dynamics
Working memory synchronizes oscillations in visual cortex	Mrugank Dake	Brain Networks & Neural Dynamics
Adaptive decoding of temporally variable neural activity in single-trial time series	Pablo Oyarzo	Methods & Computational Tools
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts	Chaitanya Kapoor	Methods & Computational Tools
Comparing different criteria for neural dimensionality estimation	Francesco Edoardo Vaccari	Methods & Computational Tools
Framed RSA: honoring representational geometry and regional-mean response preferences	JohnMark Taylor	Methods & Computational Tools
Functional Inter-Subject Alignment Outperforms Anatomical Alignment on fMRI Data in Inter-Subject Information Transfer	Leo Michalke	Methods & Computational Tools
Graph-Based Learning for EEG Workload Classification: Eliminating the Need for Calibration	Ernesto Bocini	Methods & Computational Tools
High Entropy Deep Brain Stimulation for Treatment Resistant Depression	Lily Chamakura	Methods & Computational Tools
Interpretation of Individual Differences in Cognitive Computational Neuroscience	Jessica Schaaf	Methods & Computational Tools
Neuroinflammatory Cascades in Urethritis-Mediated Cognitive Dysfunction: Computational Frameworks and Multiscale Modeling Perspectives	Saket Ram Ganti	Methods & Computational Tools
Representational tuning models: Uniting representational similarity analysis and neural encoding models.	Stan Bergey	Methods & Computational Tools
Sequential Memory Generation in the Neuroidal Model	Patrick Riley Perrine	Methods & Computational Tools
Understanding Diverse Reasoning Procedures in Foundation Models via Mechanistic Interpretability	Mohanna Hoveyda	Methods & Computational Tools
Universal Differential Equations as a Common Modeling Language for Neuroscience	Ahmed ElGazzar	Methods & Computational Tools
Using Llama-3 to Refine Psychotherapy in Silico	Kristin Witte	Methods & Computational Tools