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Poster Session C and Coffee

Friday, August 15, 2:00 – 5:00 pm, de Brug & E‑Hall

Title	Presenter	Topic Area
Bayesian Comparisons Between Representations	Heiko H. Schütt	Predictive Processing & Cognitive Control
Bistable perception emerges from loopy inference in strongly coupled probabilistic graphs	Alexandre Garcia-Duran	Predictive Processing & Cognitive Control
Combining Recurrent & Bayesian Models for Action Anticipation with Multiple Cues	Mariia Zimokha	Predictive Processing & Cognitive Control
Computational Models of Dual System Reasoning	Zoe Purcell	Predictive Processing & Cognitive Control
Confidence in absence as confidence in counterfactual visibility	Matan Mazor	Predictive Processing & Cognitive Control
Controlling PFC dynamics for slow and fast learning	Michał J Wójcik	Predictive Processing & Cognitive Control
Decoding Movement from Neural Spike Trains: A Comparison of Linear and Nonlinear Models across Brain Regions and Temporal Delays	Minsung Cho	Predictive Processing & Cognitive Control
Dissociating Confidence Bias and Confidence Noise in Perceptual and Knowledge-Based Decisions	Matteo Lisi	Predictive Processing & Cognitive Control
Dynamics and Structure of Generalization During Reinforcement Learning in Human Brains and Artificial Networks	Shany Grossman	Predictive Processing & Cognitive Control
Hierarchical systems in the default mode network when reasoning about self and other mental states	Isaac Ray Christian	Predictive Processing & Cognitive Control
How the Brain Automatically Encodes Global Predictability: Temporal Generalization Evidence for Stable Representations	Yun-Yi Qi	Predictive Processing & Cognitive Control
Long Range Cortical Interactions During Comparison of Sensory and Cognitive Information	Camila Losada	Predictive Processing & Cognitive Control
Metacognition as modal cognition	Kevin O'Neill	Predictive Processing & Cognitive Control
Metacognitive Judgements of Confidence in Effortful Task Are Susceptible to Momentary Fluctuations of Fatigue	Katarzyna Dudzikowska	Predictive Processing & Cognitive Control
Predicting Response Inhibition: A Deep Learning Approach Using Pre-Response Single-Trial EEG Data	Anna Grabowska	Predictive Processing & Cognitive Control
Predictive Perception via Simultaneous Learning and Inference	Mahdi Enan	Predictive Processing & Cognitive Control
Proactive Counterfactual Inference in Flexible Decision Making	Peiyue Liu	Predictive Processing & Cognitive Control
Probabilistic representations fail to emerge in task-optimized neural networks	Ishan Kalburge	Predictive Processing & Cognitive Control
Probability Distortions Reflect Boundary Repulsions in Noisy Inference	Saurabh Bedi	Predictive Processing & Cognitive Control
Proprioceptive Position Inference as Velocity Integration	Erik Skjoldan Mortensen	Predictive Processing & Cognitive Control
Pupil-linked arousal tracks belief updating in a dynamic auditory enviroment	Lars Kopel	Predictive Processing & Cognitive Control
Revisiting Cost Functions in Sensorimotor Decision-Making	Tobias F. Niehues	Predictive Processing & Cognitive Control
Sensorimotor Affordances in a Global Latent Workspace	Nicolas Kuske	Predictive Processing & Cognitive Control
The effect of task switching on cognitive fatigue	Nastasia Klevak	Predictive Processing & Cognitive Control
The neural basis of abstraction representations in humans and non-human primates	Théo Morfoisse	Predictive Processing & Cognitive Control
A Neural Model for Word Repetition	Daniel Dager	Language & Communication
A Two-Dimensional Space of Linguistic Representations Shared Across Individuals	Greta Tuckute	Language & Communication
Causal Discovery and Inference through Next-Token Prediction	Eivinas Butkus	Language & Communication
Computational models of vision do not explain the effect of expertise on neural processing of visual Braille	Filippo Cerpelloni	Language & Communication
Disentangling of Spoken Words and Talker Identity in Human Auditory Cortex	Akhil Bandreddi	Language & Communication
Dissociable Neural Signatures for Surprisal and Entropy Reduction in Mandarin Speech Comprehension	Qifei Wang	Language & Communication
Encoding Brain Regions with Sentiment-Relevant Circuits in LLMs	Nursulu Sagimbayeva	Language & Communication
Inducing bias from bilingual brains into language models	Anuja Negi	Language & Communication
Integration of internal linguistic information with sensory input via weakly entrained oscillations	Rong Ding	Language & Communication
Large Language Models Are Good In-Context Function Learners	Elif Akata	Language & Communication
Large Language Models are Highly Aligned with Human Ratings of Emotional Stimuli	Mattson Ogg	Language & Communication
Modelling Demonstrates Phase-Reset is an Important Feature of Neural Speech Processing	Andrew Shannon	Language & Communication
Moderate evidence for large language models reflecting human neurocognition during abstract reasoning	Christopher Pinier	Language & Communication
Neural encoding of lexical stress in human speech cortex	Ilina Bhaya-Grossman	Language & Communication
On whether the relationship between large language models and brain activity is language-specific	Sertug Gürel	Language & Communication
Rate-Coding Bundle Memory: A Unified Model of Memory and Control for Language Comprehension	Teun van Gils	Language & Communication
Resolving Communicative Uncertainty through Computational Inference of Partner Intentions	Tengfei Zhang	Language & Communication
Sparse Encoding of Grammatical Gender in LSTM Language Models	Conor Houghton	Language & Communication
Speaker-Specific Semantic Priors Enhance Both Expected and Unexpected Speech Across Processing Levels	Fabian Schneider	Language & Communication
Spectral Encoding Profile for multilevel linguistic predictions	Clément Sauvage	Language & Communication
Step-by-step analogical reasoning in humans and neural networks	Joonhwa Kim	Language & Communication
The role of context in neural representational alignment to audio- and text-based language systems	Marianne De Heer Kloots	Language & Communication
Tracking Time-Varying Syntax in Birdsong with a Sequential Autoencoder	Nadav Elami	Language & Communication
Voxel-wise Encoding of Visual and Social Meaning During Silent Movie Viewing in Deaf and Hearing Participants.	Maria Zimmermann	Language & Communication
A semantic bias for accurate predictive learning in multidimensional environments	Euan Prentis	Memory, Spatial Cognition & Skill Learning
A Unified Benchmark for Human-Like Memory in Artificial Agents	Lucas Gruaz	Memory, Spatial Cognition & Skill Learning
Behavioral timescale synaptic plasticity, replay, and emergent behavioral choice	Suhee Cho	Memory, Spatial Cognition & Skill Learning
Collaborative Encoding of Visual Working Memory	Huang Ham	Memory, Spatial Cognition & Skill Learning
Computational Model for Episodic Timeline Based on a Spectrum of Synaptic Decay Rates	Zoran Tiganj	Memory, Spatial Cognition & Skill Learning
Correspondence between reinforcement learning phenotypes and transdiagnostic clinical symptomatology across development	Noam Goldway	Memory, Spatial Cognition & Skill Learning
Dynamic Multi-level Learning in a Control-Learning Environment	Junwu Chen	Memory, Spatial Cognition & Skill Learning
Evidence of fear conditioning in virtual reality revealed by eye movements	Catherine Kim	Memory, Spatial Cognition & Skill Learning
Experience supports performance by abstraction learning in recurrent networks	John C Bowler	Memory, Spatial Cognition & Skill Learning
From Sound to Source: Human and Model Recognition in Auditory Scenes	Sagarika Alavilli	Memory, Spatial Cognition & Skill Learning
Good and consequential counterfactual outcomes are prioritized during learning	Kate Nussenbaum	Memory, Spatial Cognition & Skill Learning
How your brain learns penguins are birds - neural patterns of exception learning	Rebekka Heinen	Memory, Spatial Cognition & Skill Learning
Human-in-the-loop synthesis of behaviorally salient “super-distractors”	Devarajan Sridharan	Memory, Spatial Cognition & Skill Learning
Lower-Dimensional, Optimized Representations of High-Level Information in Chess Experts	Andrea I Costantino	Memory, Spatial Cognition & Skill Learning
Neural generalization principles of working memory in humans and recurrent neural networks	Qing Yu	Memory, Spatial Cognition & Skill Learning
Neural Predictors of Subsequent Long-Term Memory After (De)prioritization in Working Memory	Frieda Born	Memory, Spatial Cognition & Skill Learning
Neural Signatures of Tree Search	Nastaran Arfaei	Memory, Spatial Cognition & Skill Learning
Probing compositional learning during spontaneous exploration of a reconfigurable 3D environment	Tzuhsuan Ma	Memory, Spatial Cognition & Skill Learning
Representational dynamics of concurrent visuospatial working memories in Schizophrenia	Ines Pont Sanchis	Memory, Spatial Cognition & Skill Learning
Sensitivity to network structures via associate learning in sleeping neonates	Claire Njoo-Deplante	Memory, Spatial Cognition & Skill Learning
Spatial Navigation Engages a Distributed Neural Representation	Enny H. van Beest	Memory, Spatial Cognition & Skill Learning
Stage-like Emergence of Task Strategies in Animals and in Neural Networks Trained by Gradient Descent	J Tyler Boyd-Meredith	Memory, Spatial Cognition & Skill Learning
Statistical Knowledge Transfer Across Stimulus-Response Associations	Cintia Anna Nagy	Memory, Spatial Cognition & Skill Learning
Task-Relevant Information is Distributed Across the Cortex, but the Past is State-Dependent and Restricted to Frontal Regions	Lubna Shaheen Abdul	Memory, Spatial Cognition & Skill Learning
The Role of Landmarks and Travel Pauses in the Generation of Hexadirectional fMRI Signals during Spatial Navigation	Siyuan Mei	Memory, Spatial Cognition & Skill Learning
Trait depression predicts negatively biased encoding and retrieval of ambivalent movie: interoceptive and lexical analysis	Jinwoo Lee	Memory, Spatial Cognition & Skill Learning
What does spatial tuning tell us about the neural computation in the hippocampus?	Maxime Daigle	Memory, Spatial Cognition & Skill Learning
A closed-loop model for the coordination of gaze control and decision-making	Tianming Yang	Reward, Value & Social Decision Making
A cognitive map of a subjective value space	Mark A Orloff	Reward, Value & Social Decision Making
A computational model of reward learning and habits on social media	Georgia Turner	Reward, Value & Social Decision Making
A Large-Scale Study of Social Scene Judgments Reveals Alignment with Deep Neural Networks and Social-Affective Features	Kathy Garcia	Reward, Value & Social Decision Making
A single general strategy supports flexible behavior in response to both gradual and sudden changes	Jessica Passlack	Reward, Value & Social Decision Making
Affective features drive human representations of social touch expressions during naturalistic viewing	Haemy Lee Masson	Reward, Value & Social Decision Making
An Excessive-Demand Measure Outperforms Other Demand Proxies in Explaining Lab Asset-Market Price Changes: Toward a Brain Biomarker of Excessive Demand	John L. Haracz	Reward, Value & Social Decision Making
Analogous neural representations underlying risky decision making in deep reinforcement learning agents and humans	T. Alexander Price	Reward, Value & Social Decision Making
Attention in value-based choice: Active and passive uncertainty reduction mechanisms	Ruby Schlayer-Westbrook	Reward, Value & Social Decision Making
Computational mechanisms underlying how humans adapt their choices to the average effort of the environment	Emma V. Scholey	Reward, Value & Social Decision Making
Context-dependent modulations of sensory adaptation and pupil-linked arousal as substrates of flexible decision-making	Kara D. McGaughey	Reward, Value & Social Decision Making
Drift Rate Reflects Value, Response Bias Reflects Habit: A DDM Analysis of the Reward Pairs Task	Viktor Timokhov	Reward, Value & Social Decision Making
Emergent Reciprocity Through Temporal Credit Assignment in Reinforcement Learning Agents	Le Thuy Duong Nguyen	Reward, Value & Social Decision Making
Exploring the Neural Basis of Stimulus-Driven Overconfidence	Ema Zezelic	Reward, Value & Social Decision Making
Frontostriatal dynamics modelling obsessions and compulsions	Sebastien Naze	Reward, Value & Social Decision Making
Interplay of social and self interests during learning in early adolescence	Cong Wang	Reward, Value & Social Decision Making
Neural computations underlying human social evaluations from visual stimuli	Manasi Malik	Reward, Value & Social Decision Making
Neural Representation of Social Relationship Graphs through Multidimensional Modeling of Dynamic Social Interactions	Dasom Kwon	Reward, Value & Social Decision Making
Neurocomputational Underpinnings of Suboptimal Beliefs in Reinforcement Learning Agents	M Ganesh Kumar	Reward, Value & Social Decision Making
Reward-Prediction-Error-Guided Attention Explains Behavioral Learning Curves	Mingze Li Leukos	Reward, Value & Social Decision Making
Simultaneous modeling of behavior and dopamine with disentangled RNNs	Siddhant Jain	Reward, Value & Social Decision Making
Social context affects policy and counterfactual learning in a two-armed bandit task	Amric Trudel	Reward, Value & Social Decision Making
Structural abstraction of emotion knowledge in hippocampal-prefrontal systems	Yumeng Ma	Reward, Value & Social Decision Making
Task-space dimensions guide human exploration in complex environments	Jiahui An	Reward, Value & Social Decision Making
Tracking of dynamic neural representations during goal-directed action	Jet Lageman	Reward, Value & Social Decision Making
Uncovering the Structure of Trial-to-Trial Variability in Perceptual Decision-Making Using Disentangled Recurrent Neural Networks	Anne Urai	Reward, Value & Social Decision Making
When to drop an important piece of information? Studying the effect of timing on information cascades in real-time social networks	Wenning Deng	Reward, Value & Social Decision Making
Working Memory-Supported Reinforcement Learning Related to Mental Health Phenotypes in a Representative Sample	Laura Ana Bustamante	Reward, Value & Social Decision Making
A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision	Alessandro Thomas Gifford	Visual Processing & Computational Vision
A hierarchy of spatial predictions across human visual cortex during natural vision	Wieger H. Scheurer	Visual Processing & Computational Vision
A multimodal encoding model for predicting human brain responses to complex naturalistic movies	Viacheslav Fokin	Visual Processing & Computational Vision
Connectome-Constrained Unsupervised Learning Reveals Emergent Visual Representations in the Drosophila Optic Lobe	Keisuke Toyoda	Visual Processing & Computational Vision
CorText-AMA: brain-language fusion as a new tool for probing visually evoked brain responses	Victoria Bosch	Visual Processing & Computational Vision
Decoding Colour Information from EEG Signals in Natural Scenes	Arash Akbarinia	Visual Processing & Computational Vision
Deep layers of primary visual cortex encode postdictive perception	Pieter Barkema	Visual Processing & Computational Vision
Developmental plasticity rules facilitate representation learning in a model of visual ventral stream	Ariane Delrocq	Visual Processing & Computational Vision
Differentiating image representations in terms of their local geometry	David Lipshutz	Visual Processing & Computational Vision
Evaluating Human-Machine Representational Alignment in Hyperbolic Space	Otto Béla Márton	Visual Processing & Computational Vision
Examining the potential functional significance of initially poor temporal acuity	Marin Vogelsang	Visual Processing & Computational Vision
Feedback signals can explain spike-silent working memory traces in visual cortex	Noa N. Krause	Visual Processing & Computational Vision
Foveated sensing in KNN-convolutional neural networks based on isotropic cortical magnification	Nicholas Blauch	Visual Processing & Computational Vision
From Images to Perception: Emergence of Perceptual Properties by Reconstructing Images	Jesus Malo	Visual Processing & Computational Vision
Getting into Shape: The Impact of Early Visual Development on Object Recognition	Zejin Lu	Visual Processing & Computational Vision
How to sample the world for understanding the visual system	Johannes Roth	Visual Processing & Computational Vision
Hues and Cues: Human vs. CLIP	Nuria Alabau-Bosque	Visual Processing & Computational Vision
Incorporating foveal sampling and integration to model 3D shape inferences	Stephanie Fu	Visual Processing & Computational Vision
Inverse receptive field attention for naturalistic image reconstruction from the brain	K. Seeliger	Visual Processing & Computational Vision
Investigation of Numerosity Representation in Convolution Neural Networks	Nhut Truong	Visual Processing & Computational Vision
Learning to cluster neuronal function	Nina S. Nellen	Visual Processing & Computational Vision
MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery	Reese Kneeland	Visual Processing & Computational Vision
Model-brain comparison using inter-animal transforms	Imran Thobani	Visual Processing & Computational Vision
Models trained on infant views are more predictive of infant visual cortex	Cliona O'Doherty	Visual Processing & Computational Vision
Predictive remapping and allocentric coding as consequences of energy efficiency in recurrent neural network models of active vision	Philip Sulewski	Visual Processing & Computational Vision
Replicating Posner & Keele (1968) with Standard Convolutional Neural Networks	Milan Van Maldegem	Visual Processing & Computational Vision
Rethinking Representational Alignment: Linear Probing Fails to Identify the Ground-Truth Model	Itamar Avitan	Visual Processing & Computational Vision
Sample, Don't Assume: Unconstrained Receptive Field Estimation	Niklas Müller	Visual Processing & Computational Vision
Target Detection as an Online Measure of Adapting to Changing Statistical Regularities	Brent Vernaillen	Visual Processing & Computational Vision
The geometry of primary visual cortex representations is dynamically adapted to task performance	Leyla Roksan Caglar	Visual Processing & Computational Vision
Which Neural Networks best model the human perception of geometric shapes?	Maxence Pajot	Visual Processing & Computational Vision
A Goal-driven Model of Visual Search in Natural Scenes Replicates Human Behavior While Relying on Similar Neural Representations	Motahareh Pourrahimi	Object Recognition & Visual Attention
A Multiple Trace Theory of Statistical Learning	Dock H Duncan	Object Recognition & Visual Attention
Attention rules Episodic Memory	Zahra Fayyaz	Object Recognition & Visual Attention
Auditory Object Formation in Temporally Complex Scenes	Berfin Bastug	Object Recognition & Visual Attention
Brain-Aligned Category-Selective Features from Contrastive Learning	Daniel Janini	Object Recognition & Visual Attention
Competitive Retraining Reveals the Resilience and Reallocation of Functional Specialization in Deep Neural Networks	Zhengqing Miao	Object Recognition & Visual Attention
Encoding of Fixation-Specific Visual Information: No Evidence of Information Carry-Over between Fixations	Carmen Amme	Object Recognition & Visual Attention
Leveraging Vision Transformers to Propose a Context-Dependent Computational Mechanism for the Holistic Process of Faces	Srijani Saha	Object Recognition & Visual Attention
Memory diffusion: Using generative AI to create an image database for memory research	Fabian Kamp	Object Recognition & Visual Attention
Multimodal Human Perception of Object Dimensions: Evidence from Deep Neural Networks And Large Language Models	Florian Burger	Object Recognition & Visual Attention
Neural representation of occluded objects in visual cortex	Fraser W Smith	Object Recognition & Visual Attention
Parametric control along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment	Jacob S. Prince	Object Recognition & Visual Attention
Perceiving patterns under uncertainty: the role of conspiratorial thinking	Yi-Chuang Lin	Object Recognition & Visual Attention
Quantifying infants’ everyday experiences with objects in a large corpus of egocentric videos	Jane Yang	Object Recognition & Visual Attention
Quantifying the Role of Perceived Curvature in the Processing of Natural Object Images	Laura Mai Stoinski	Object Recognition & Visual Attention
Representational drift across the macaque ventral stream does not affect all timepoints and stimuli alike: first evidence for a sequence of three different, yet comparatively stable clusters in V4.	Daniel Anthes	Object Recognition & Visual Attention
Representational Geometry Dynamics in Networks After Long-Range Modulatory Feedback	Kexin Cindy Luo	Object Recognition & Visual Attention
Robustness to 3D Object Transformations in Humans and Image-Based Deep Neural Networks	Haider Al-Tahan	Object Recognition & Visual Attention
Seen2Scene: a generative model of fixation-by-fixation scene understanding	Ritik Raina	Object Recognition & Visual Attention
Shared high-dimensional latent structure in the neural and mental representations of objects	Raj Magesh Gauthaman	Object Recognition & Visual Attention
Tracking covert attention over space and time using RIFT	Kabir Arora	Object Recognition & Visual Attention
Anatomy-based estimates indicate that cortical stimulation can only sparsely affect long-range connections	Dora Hermes	Brain Networks & Neural Dynamics
Arousal dynamics predict transitions in engagement state	Philippa A. Johnson	Brain Networks & Neural Dynamics
Auditory stimuli extend the temporal window of visual integration by modulating alpha-band oscillations	Mengting Xu	Brain Networks & Neural Dynamics
Biologically informed cortical models predict optogenetic perturbations	Guillaume Bellec	Brain Networks & Neural Dynamics
Brain-Like Pathways Form in Models With Heterogeneous Experts	Jack Cook	Brain Networks & Neural Dynamics
CNeuroMod Data Collection Complete: 200h of individual fMRI Across Diverse Naturalistic and Controlled Tasks to build NeuroAI models	Julie A. Boyle	Brain Networks & Neural Dynamics
Common representations underlie idiosyncratic neural topographies	Bogdan Petre	Brain Networks & Neural Dynamics
Comparing Brain-Score and ImageNet performance with responses to the scintillating grid illusion	Martin Kent Kraus	Brain Networks & Neural Dynamics
Early learning of the optimal constant solution in neural networks and humans	Jirko Rubruck	Brain Networks & Neural Dynamics
From simple to complex: shared learning dynamics in humans and neural networks	Christopher Summerfield	Brain Networks & Neural Dynamics
Improving Prediction of Cognitive Abilities through Integrated Resting-State and Task fMRI	Yujing Jiang	Brain Networks & Neural Dynamics
Langevin Flows for Modeling Neural Latent Dynamics	T. Anderson Keller	Brain Networks & Neural Dynamics
Modeling the Visualization of Personal Experiences during Imagination in Medial Temporal DMN	andrew james anderson	Brain Networks & Neural Dynamics
Occipital alpha oscillations negatively correlate with the vividness of mental imagery in healthy participants	Aitor Morales-Gregorio	Brain Networks & Neural Dynamics
Small-Worlds Memory Generation and Capacity in the Neuroidal Model	Mugizi Robert Rwebangira	Brain Networks & Neural Dynamics
Spike Synchrony Resolves Stimulus Saliency and Familiarity	Viktoria Zemliak	Brain Networks & Neural Dynamics
Traveling Waves Integrate Spatial Information Through Time	Mozes Jacobs	Brain Networks & Neural Dynamics
Unsupervised Identification of Behaviorally-relevant States in Biological and Artificial Neural Systems	Arman Behrad	Brain Networks & Neural Dynamics
What governs the emergence of brain-like specialized neurons in artificial neural networks?	Brian S Robinson	Brain Networks & Neural Dynamics
A hierarchical multivariate copula-based framework for cognitive modeling	Jesper Fischer Ehmsen	Methods & Computational Tools
Boosting Hyperalignment Performance with Age-specific Templates	Yuqi Zhang	Methods & Computational Tools
Comparing Variance Partitioning and the Residual Method for Interpreting Brain Recordings	Fatma Deniz	Methods & Computational Tools
Constructing Representational Similarity Metrics Through Linear Decoding	Sarah E Harvey	Methods & Computational Tools
Efficient Regularization of High-Dimensional Cerebellar Representations by Sparse Parallel Fiber Inputs: A Virtual Sample-based L2 Regularization Perspective	Tae-Rim Yun	Methods & Computational Tools
Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features	Chanwoo Chun	Methods & Computational Tools
Evaluating Representational Similarity Measures from the Lens of Functional Correspondence	Yiqing Bo	Methods & Computational Tools
Intrinsic dimensionality of brain activity manifolds across tasks and development	Erica Lindsey Busch	Methods & Computational Tools
Learning Latent Spaces for Individualized Functional Neuroimaging with Variational Autoencoders	Kajal Singla	Methods & Computational Tools
Longitudinal Multimodal Data Fusion Reveals Brain–Symptom Change Patterns in Depression	Effat Salehi Far	Methods & Computational Tools
SenseNet: Neural Architecture Search Inspired by Adaptive Biological Sensing for Transparency and Adaptability	Kirtana Sunil Phatnani	Methods & Computational Tools
The Landscape of Neuroscience	Mario Senden	Methods & Computational Tools
Using transfer learning to identify a neural network's algorithm	John Morrison	Methods & Computational Tools
Variance explained by different model components does not behave like a Venn diagram: Why variance decomposition provides misleading intuitions	Jinkang Derrick Xiang	Methods & Computational Tools