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Poster Session B and Coffee

Wednesday, August 13, 1:00 – 4:00 pm, de Brug & E‑Hall

Title	Presenter	Topic Area
A mathematical theory of relational generalization in the face of exceptions	Luke Cheng	Predictive Processing & Cognitive Control
Dissociable Effects of Uncertainty in Perceptual and Cognitive Control	Julian Q. Kosciessa	Predictive Processing & Cognitive Control
Neural Mechanism of Compositional Generalization	Zilu Liang	Predictive Processing & Cognitive Control
Integrating explicit reliability for optimal choices: effect of trustworthiness on decisions and meta-decisions	Lucie Charles	Predictive Processing & Cognitive Control
Subjective, more than objective, expectation and surprise explain perceptual decisions during learning	Jessye Clarke	Predictive Processing & Cognitive Control
Dissociable Dynamic Effects of Expectation During Statistical Learning Across Cortical Layers	Hannah H McDermott	Predictive Processing & Cognitive Control
A perceptual repulsion from gravitational expectations of acceleration	Nick Simpson	Predictive Processing & Cognitive Control
Apathy as a Loss of Prior Precision in the Bayesian Brain	Rebecca S Williams	Predictive Processing & Cognitive Control
A hierarchy of metacognitive capacities	Sophie Bavard	Predictive Processing & Cognitive Control
Learning Multisensory Representations Using Predictive Coding	Parva Alavian	Predictive Processing & Cognitive Control
Paradigms for probing socio-affective Bayesian inference in individuals with blunted affect – preliminary insights	Katharina V. Wellstein	Predictive Processing & Cognitive Control
The relationship between pupil dilation and neural surprise in natural language comprehension	Quirin Gehmacher	Predictive Processing & Cognitive Control
Five Illusions Challenge Our Understanding of Visual Experience	Paul Linton	Predictive Processing & Cognitive Control
Are Prediction Error Attenuations Domain-specific in Autism but Domain-general in ADHD?	Irene Sophia Plank	Predictive Processing & Cognitive Control
Single-Neuron Evidence for Attention and Prediction Error to Nested Auditory Regularities in the Human Auditory Cortex	Vinicius Rezende Carvalho	Predictive Processing & Cognitive Control
Predictions emerge in neural networks trained to perceive Bach's music	Alejandro Tabas	Predictive Processing & Cognitive Control
Audiovisual Integration Follows Different Rules for Perceptual and Metacognitive Decisions	Porte Perrine	Predictive Processing & Cognitive Control
Neural representations that resist interference	Xian Li	Predictive Processing & Cognitive Control
Confidence in Sound Localization Reflects Calibrated Uncertainty Estimation	Lakshmi Narasimhan Govindarajan	Predictive Processing & Cognitive Control
Mechanism of learning and inference in the prefrontal cortex	Shuyi Luo	Predictive Processing & Cognitive Control
Valuation Precision: from Behavioral Measures to Computational Modeling and Neural Underpinnings	Hui-Kuan Chung	Predictive Processing & Cognitive Control
Adaptive planning and policy mixture explain the naturalistic foraging in 3D virtual reality.	Jae Young Jeon	Predictive Processing & Cognitive Control
Early Sensory Responses Track High-Level Visual Surprise	David Richter	Predictive Processing & Cognitive Control
Sophistication of Human Adaptive Probability Learning in Dynamic Environments	Florent Meyniel	Predictive Processing & Cognitive Control
Experiential Semantic Information and Brain Alignment: Are Multimodal Models Better than Language Models?	Anna Bavaresco	Language & Communication
Compositional Meaning in Vision-Language Models and the Brain	Maithe van Noort	Language & Communication
A ‘sweet spot’ for creative ideation: Non-linear associations between semantic distance and creativity	William Orwig	Language & Communication
Dynamic Norm-Based Coding of Vocal Identity by the Primate Voice Patches Neurons	Yoan Esposito	Language & Communication
Persistent and evolving encoding of phonemes reflects general auditory processing	Oli Danyi Liu	Language & Communication
Sensorimotor Integration in the Dorsal Speech Processing Stream via Directed Beta-Band Interactions	Olivia Bizimungu	Language & Communication
Intracranial EEG reveals multiplexed encoding of auditory, speech, and language embeddings in the human temporal lobe	Atlas Kazemian	Language & Communication
Modelling Multimodal Integration in Human Concept Processing with Vision-Language Models	Raquel Fernández	Language & Communication
Working Memory Integrates Geometrical and Temporal Languages of Thought	Elyes Tabbane	Language & Communication
Understanding the Neuro-Cognitive Mechanisms of Orthographic Learning in Humans and Baboons: A Comparative Study Using Domain-Specific Mechanistic and Domain-General Connectionist Models	Janos Pauli	Language & Communication
Spatiotemporal tracking of phonetic content and probability in the human brain during continuous speech understanding	William Turner	Language & Communication
Neural Mechanisms of Linguistic Working Memory: Phrase Composition, Storage and Retrieval	Théo Desbordes	Language & Communication
A Model of Continuous Speech Recognition Reveals the Role of Context in Human Phoneme Perception	Gasser Elbanna	Language & Communication
Toward Affective Empathy in AI: Encoding Internal Representations of "Artificial Pain"	Angeline Wang	Language & Communication
Neural Dynamics and Representational Content across Abstract and Concrete Concepts	Mancano Martina	Language & Communication
Detecting Mild Cognitive Impairment Across Languages: An Analysis of Speech Features in Chinese and English	Lee Hung Wei	Language & Communication
Concerns in evaluating hierarchical correlations between human brains and end-to-end automatic speech recognition models	Yi Wang	Language & Communication
Varying sensitivity to vision and language across the STS during naturalistic social perception	Hannah Small	Language & Communication
From sequences to schemas: How recurrent neural networks learn temporal abstractions	Vezha Boboeva	Language & Communication
Neural Substrates of a Symbolic Action Grammar in Primate Frontal Cortex	Lucas Y. Tian	Language & Communication
Neural Encoding of Continuous Word Meaning Likelihood During Semantic Disambiguation	Andrey Zyryanov	Language & Communication
Decomposition of uncertainty into dispersion and strength during speech processing	Pierre Guilleminot	Language & Communication
Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors	Daniel Yamins	Language & Communication
Efficient spatial learning in the hippocampus via left-right theta sweeps in the entorhinal cortex	Callum Marshall	Memory, Spatial Cognition & Skill Learning
Putamen Representation of Habit as Predictive Marker of Compulsivity	Amogh Johri	Memory, Spatial Cognition & Skill Learning
Human predictions of event sequences for novel videos	Caroline Lee	Memory, Spatial Cognition & Skill Learning
Neuromodulatory systems partially account for the topography of cortical networks of learning under uncertainty	Alice Hodapp	Memory, Spatial Cognition & Skill Learning
Neural and computational evidence for a predictive learning account of the testing effect	Haopeng Chen	Memory, Spatial Cognition & Skill Learning
Hexadirectional modulation of grid cell firing by firing rate adaptation	Guglielmo Reggio	Memory, Spatial Cognition & Skill Learning
Evaluating view-invariant place recognition in humans and machines	Nathan Kong	Memory, Spatial Cognition & Skill Learning
Replay of factorized temporal journey	Xuanlong Zhu	Memory, Spatial Cognition & Skill Learning
Olfactory Neurotechnology: A Perspective on Awareness Biomarker Discovery for Mild Cognitive Impairment and Dementia	Hubert Kasprzak	Memory, Spatial Cognition & Skill Learning
Decoding Signatures of Meta-Learning Abstract Structure	Sreejan Kumar	Memory, Spatial Cognition & Skill Learning
Visual and Goal Vector Signals Interact to Shape Behavior and Spatial Representations	Sandhiya Vijayabaskaran	Memory, Spatial Cognition & Skill Learning
Multi-task Learning in the Human Brain	Tobias Ludwig	Memory, Spatial Cognition & Skill Learning
Humans and Mice Navigate Mazes Alike. Can AI Beat Them?	Rogério Guimarães	Memory, Spatial Cognition & Skill Learning
A Biologically Plausible Computational Model of Hippocampal Neurogenesis and Pattern Separation in Memory	Jiachuan Wang	Memory, Spatial Cognition & Skill Learning
Dynamic Changes in Neural Manifolds During Working Memory	Aniol Santo-Angles	Memory, Spatial Cognition & Skill Learning
Distributed Working Memory in a Computational Model of the Human Brain	Rares A. Dorcioman	Memory, Spatial Cognition & Skill Learning
Neural subspaces for motor planning and execution in Parietal Cortex	Stefano Diomedi	Memory, Spatial Cognition & Skill Learning
Modelling the Effect of Audience Tuning on Generative Episodic Memory	Aya Altamimi	Memory, Spatial Cognition & Skill Learning
Non-Monotonic Plasticity in Large Language Models	Camila Kolling	Memory, Spatial Cognition & Skill Learning
Classification of Mental Workload Spatial Effects using Riemannian Manifold	Agathe CHOPLIN	Memory, Spatial Cognition & Skill Learning
Neural heterogeneity shapes the temporal structure of human working memory	Daria Kussovska	Memory, Spatial Cognition & Skill Learning
Resolving the tension between exemplar and structure learning through a mixture-of-experts model of hippocampal-PFC interactions	Dhairyya Singh	Memory, Spatial Cognition & Skill Learning
Reverse Spatiotemporal Hierarchy during Cross-modal Memory Recall and Imagery	Yu Hu	Memory, Spatial Cognition & Skill Learning
Dynamics in the primary sensory, medial temporal and striatal regions during implicit learning of temporal regularity	Wei Tang	Memory, Spatial Cognition & Skill Learning
Exploring the Neural and Phenomenological Landscapes of Self-Incongruent Autobiographical Memories	Alicja Wicher	Memory, Spatial Cognition & Skill Learning
Cross-Context Value Dynamics: The Impact of Contextually Irrelevant Values on Choice Behavior	Neele K. Elbersgerd	Reward, Value & Social Decision Making
Value GradientRescales Grid-like Representations during Reward Learning	Hai-Tao Wu	Reward, Value & Social Decision Making
Towards generative AI-based fMRI paradigms: reinforcement learning via real-time brain feedback	Giuseppe Gallitto	Reward, Value & Social Decision Making
Social Scene Perception in neurotypicals, bvFTD and AI models	Laura Iris Van Hove	Reward, Value & Social Decision Making
A Reinforcement Learning Model for Task-modulated Perception	Mohammadreza Bigham	Reward, Value & Social Decision Making
Testing an Integrative Framework for the Sense of Control	Alireza Modirshanechi	Reward, Value & Social Decision Making
Memory of Navigation in Individuals with Varying Social Anxiety: A Virtual Reality EEG Study	Haiyan Wu	Reward, Value & Social Decision Making
Relational Information Predicts Human Behavior and Neural Responses to Complex Social Scenes	Wenshuo Qin	Reward, Value & Social Decision Making
Why is GABA related to neural distinctiveness? A computational account of age-related neural dedifferentiation	Quan Zhou	Reward, Value & Social Decision Making
Neural Mechanisms Underlying the Impact of Pavlovian Observational Learning on Decision Making	Pyungwon Kang	Reward, Value & Social Decision Making
Other’s Pain Drives Optimal Decisions	Judit Campdepadrós Barrios	Reward, Value & Social Decision Making
rewardGym - a framework for streamlining experiments in cognitive neuroscience	Simon R Steinkamp	Reward, Value & Social Decision Making
Social responsiveness buffers internalizing symptoms from social isolation	Shuhan Wang	Reward, Value & Social Decision Making
Modelling homeostatic influences on human risky choice	Steven Geysen	Reward, Value & Social Decision Making
Mechanisms of Coordination for Cooperative and Competitive Interactions	Sepideh Khoneiveh	Reward, Value & Social Decision Making
Preliminary evidence indicates that selective maintenance of adverse events may explain conditioning phenomena attributed to fear generalization	Deepta Chandrasekhar	Reward, Value & Social Decision Making
Demographic Prompting Fails to Bridge the Individual Variability Gap: GPT-4o Aligns with Average but Not Individual Emotional Ratings of Images	Chace Ashcraft	Reward, Value & Social Decision Making
Construction and disruption of hippocampal cognitive graphs in human and machine	Deng Pan	Reward, Value & Social Decision Making
Excitatory-Inhibitory Dynamics in Adaptive Decision-Making	Veronica Chelu	Reward, Value & Social Decision Making
Inferring Cognitive Load from Deviations in Simulated Human Planning Behavior	May Kristine Jonson Carlon	Reward, Value & Social Decision Making
The Role of Neural Replay in Structure Learning and Value Generalization	Fabian Renz	Reward, Value & Social Decision Making
Experimental Assessment of Choice-Congruent Confidence Bias in Human Reinforcement Learning	Alexandre Lietard	Reward, Value & Social Decision Making
Novelty-seeking Guides Formation of Disentangled Representations	Pingsheng Li	Reward, Value & Social Decision Making
Optimal Foraging by Learning the World Model	Roxana Zeraati	Reward, Value & Social Decision Making
How to reliably estimate collapsing-threshold diffusion model parameters? A simulation study	Amir Hosein Hadian Rasanan	Reward, Value & Social Decision Making
Trial-by-trial Fluctuations in Decision Criterion Shape Decision Confidence	Robin Vloeberghs	Reward, Value & Social Decision Making
Neural dynamics of predicting others’ decisions	Erik Stuchlý	Reward, Value & Social Decision Making
Neural Mechanisms of Adolescent Social Decision-Making: Insights from Computational Modeling	Jiamiao Yang	Reward, Value & Social Decision Making
Information search strategies in within-domain vs. across-domain decisions	Maryam Tohidi-Moghaddam	Reward, Value & Social Decision Making
Biased Misinformation Distorts Beliefs	Rani Moran	Reward, Value & Social Decision Making
MoralNet: Visual representations of moral intuitions in artificial and biological neural networks	Tim Lauer	Reward, Value & Social Decision Making
Modeling Dynamical Vision: A Toolbox for Biologically Plausible Recurrent Convolutional Networks	Robin Gutzen	Visual Processing & Computational Vision
Do Dynamics Matter for Neural Alignment? A Comparative study of Video and Static Vision Models	Khaled Jedoui Al-Karkari	Visual Processing & Computational Vision
Unsupervised Future-Predictive Learning in the Connectome-Constrained Drosophila Optical Lobe	Naoya Nishiura	Visual Processing & Computational Vision
Examining the precision of infants’ visual concepts by leveraging vision-language models and automated gaze coding	Tarun Sepuri	Visual Processing & Computational Vision
Iterative Bayesian inference explains the dynamics of perceptual organization of natural scenes	Tridib Kalyan Biswas	Visual Processing & Computational Vision
Empirical test of ideal observer models of individual and ensemble spatial perception	Dominik Endres	Visual Processing & Computational Vision
Learning visual cognition from children's visual experiences	Khai Loong Aw	Visual Processing & Computational Vision
Perceptogram: Interpreting Visual Percepts from EEG	Virginia R. de Sa	Visual Processing & Computational Vision
Neural Dimensionality and Temporal Dynamics of Visual Representations	Zirui Chen	Visual Processing & Computational Vision
Integrating Non-Classical Receptive Fields of the Primary Visual Cortex into CNNs Enhances Adversarial Robustness	Yalda Mohsenzadeh	Visual Processing & Computational Vision
Video DNNs do not see motion illusions	Marvin Rainer Maechler	Visual Processing & Computational Vision
Can Vision Language Models Follow Human Gaze?	Zory Zhang	Visual Processing & Computational Vision
Viewpoint Diversity Improves Convolutional Neural Network Generalization and Robustness	Yifan Luo	Visual Processing & Computational Vision
Contrast Sensitivity Function of Multimodal Vision-Language Models	Alexandra Gomez-Villa	Visual Processing & Computational Vision
Exploring the Cognitive Space: A Framework for Cognitive Function Mapping	Ana Fernanda Ponce	Visual Processing & Computational Vision
Response to Affine Transforms of Image Distance Metrics and Humans	Paula Daudén-Oliver	Visual Processing & Computational Vision
Controlled Synthetic Environments for Studying Mid-Level Vision in Artificial and Biological Systems	Joshua M. Martin	Visual Processing & Computational Vision
Temporal Processing of Spatial Frequencies in Visual Word, Object, and Place Recognition	Clémence Bertrand Pilon	Visual Processing & Computational Vision
Would the same inferences about visual memory have been made with LFPs as compared to spikes?	Catrina M. Hacker	Visual Processing & Computational Vision
Arrow of Time: an intensive fMRI dataset of brain responses to brief video presentations	Tomas Knapen	Visual Processing & Computational Vision
The role of motion cues in object representation: A study of visual area specializations using deep learning	Nastaran Darjani	Visual Processing & Computational Vision
Training on Ecologically Relevant Tasks Improves Alignment Between Artificial Neural Network and Human Similarity Judgments	Aidan J. Seidle	Visual Processing & Computational Vision
Evolution of Low-Level and Texture Human-CLIP Alignment	Pablo Hernández-Cámara	Visual Processing & Computational Vision
Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment	Jose Manuel Jaén-Lorites	Visual Processing & Computational Vision
Disentangling redundant and synergistic interactions in the alignment between auditory brains and machines	Christian Ferreyra	Visual Processing & Computational Vision
Recurrent processing strengthens feature representations throughout visual cortex	Floris P De Lange	Visual Processing & Computational Vision
The BabyView dataset: High-resolution egocentric videos of infants’ and young children’s everyday experiences	Bria Lorelle Long	Visual Processing & Computational Vision
Neural networks and brains share the gist but not the details	Michael Bonner	Visual Processing & Computational Vision
Deep predictive coding networks partly capture neural signatures of short-term temporal adaptation in human visual cortex	Amber Marijn Brands	Visual Processing & Computational Vision
Disentangling belief and strategy in natural visual search	Hyunwoo Gu	Object Recognition & Visual Attention
Humans and variational autoencoders agree: attractive faces are average and feminine, not symmetric and young	Francisco M. Lopez	Object Recognition & Visual Attention
Selective Is Selective, or Not? Investigating Consistency and Task Relevance of Selectivity Metrics in DNNs	Anastasia Lado	Object Recognition & Visual Attention
Attention modulates within-category differentiation of natural auditory objects in human auditory cortex	Patrik Wikman	Object Recognition & Visual Attention
Explaining neural mechanisms of age-related dedifferentation in the ventral stream through deep neural networks	Akilles Rechardt	Object Recognition & Visual Attention
NeuroAdapter: Visual Reconstruction with Masked Brain Representation	Hossein Adeli	Object Recognition & Visual Attention
Attention alters numerosity tuning in the human brain	Liangyou Zhang	Object Recognition & Visual Attention
Attention Modulates the Geometry of Auditory Representations	Caterina A. Pedersini	Object Recognition & Visual Attention
pRF Amplitude Differs within the Ventral Visual Processing Stream in Autism	Charlotte A. Leferink	Object Recognition & Visual Attention
Representational dynamics of visual contents underlying object selectivity	Chun-Hui Li	Object Recognition & Visual Attention
Interpretable prediction of human fixations from behavior-derived representational dimensions	Luca Kämmer	Object Recognition & Visual Attention
Conceptual priorities shape individual gaze patterns during naturalistic visual attention	Caroline E. Robertson	Object Recognition & Visual Attention
From Pixels to Human Typicality Judgments: Disentangling Category Structure and Neural Network Representations	Itay Inbar	Object Recognition & Visual Attention
Knowledge differences affect gaze behavior during naturalistic object exploration	Amanda J. Haskins	Object Recognition & Visual Attention
How attention shapes simplified mental representations for planning	Jason da Silva Castanheira	Object Recognition & Visual Attention
Nothing Intrinsically Memorable: The Relational Nature of Animacy Effects in Visual Memory	Dyllan Simpson	Object Recognition & Visual Attention
Exploring the Neural Representation of Elementary Math Concepts	Samuel Debray	Object Recognition & Visual Attention
Discovering visual categorical selectivity across the whole brain in silico using transformer-based encoders and large-scale generative models	Ethan Hwang	Object Recognition & Visual Attention
Covert attention is flexibly allocated in value-guided choice	Amy X. Li	Object Recognition & Visual Attention
Biophysical Deep Learning: Laminar-resolved Cortical Columns as Neural Network Units	Dasja de Leeuw	Brain Networks & Neural Dynamics
Human brain networks encode creativity state and level	Rikki Rabinovich	Brain Networks & Neural Dynamics
Systematic differences between brain organisation revealed by task and rest	Caroline Nettekoven	Brain Networks & Neural Dynamics
Long delays reduce the need for precise weights in spiking neural networks	Danyal Akarca	Brain Networks & Neural Dynamics
High-level information integration in the brain via large-scale attractor dynamics	Tamas Spisak	Brain Networks & Neural Dynamics
The Causal Structure of Band-limited Dynamics in the Human Cortex	Paul Hege	Brain Networks & Neural Dynamics
Balanced Gamma Oscillations Support Ultra-Slow Dynamics in the Cortex at Rest	Francisco Páscoa dos Santos	Brain Networks & Neural Dynamics
Toward Generating Plausible Artificial Electroencephalography Data: Evaluating the Effects of Convolution-based Upsampling Methods on Data Quality	Clemens Kaiser	Brain Networks & Neural Dynamics
Tracking time by simulating the sensory world	Aaron Kaltenmaier	Brain Networks & Neural Dynamics
Peripheral Beta-Blockade Differentially Enhances Cardiac and Respiratory Interoception	Ashley Tyrer	Brain Networks & Neural Dynamics
Cortically-Embedded RNNs for integration of cortex-wide neuroscience data into recurrent neural network models	Aswathi Thrivikraman	Brain Networks & Neural Dynamics
Connectivity Effects of cTBS to the DLPFC: Examining beta phase synchronisation between the left and right DLPFC	Veronica Forslund	Brain Networks & Neural Dynamics
Can We Identify the What, When and Where of Sensorimotor Activity in EEG Recordings?	Marije ter Wal	Brain Networks & Neural Dynamics
Temporal Prediction in Non-Deterministic Continuous Environments: Investigating the Role of Oscillatory Entrainment and Interval Learning	Elmira Hosseini	Brain Networks & Neural Dynamics
Learning neuronal manifolds for interacting neuronal populations	Akshey Kumar	Brain Networks & Neural Dynamics
TeDFA-$\delta$: Temporal integration in deep spiking networks trained with feedback alignment improves policy learning	Jorin Overwiening	Brain Networks & Neural Dynamics
Artificial Neural Networks trained on human cognitive data as network models of cognition in health and mental disorders	Oliver Frank	Brain Networks & Neural Dynamics
Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks	Erin Grant	Brain Networks & Neural Dynamics
Fast fMRI signals up to 1Hz vary across brain states and predict spontaneous neural activity	Leandro P. L. Jacob	Brain Networks & Neural Dynamics
Error Forcing in Recurrent Neural Networks	A Erdem Sağtekin	Brain Networks & Neural Dynamics
Mouse-tracking Reveals Individual Differences in the Dynamics of Belief Updating Under Volatility	Aurora Katharina Delz	Brain Networks & Neural Dynamics
Inferring Virtual Height-Induced Changes in Postural Control via Inverse Optimal Control	Tahmineh A. Koosha	Methods & Computational Tools
Similarity-based Representation Factorization for Understanding Representations in Minds, Brains and Machines	Florian P. Mahner	Methods & Computational Tools
How to test Bayesian models using neural data	Ralf M Haefner	Methods & Computational Tools
Catalyzing in silico neuroscience with a toolkit of accurate encoding models of the brain	Domenic Bersch	Methods & Computational Tools
An Equivalence Between Representational Similarity Analysis and Centered Kernel Alignment	Alex H Williams	Methods & Computational Tools
A BOLD Sampling Scheme to Improve the Estimation of Voxel-wise Encoding Model Parameters	Jochem W. Rieger	Methods & Computational Tools
Quantifying Psychedelic Visual Phenomena: An AI-Driven Computational Framework for Analyzing Form Constants and Representational Competencies	Cynthia-Maria Kanaan	Methods & Computational Tools
Toward Real-World Emotion Decoding: A Transformer-Based Approach Using Movie fMRI	Bo-Gyeom Kim	Methods & Computational Tools
Predicting Stroke Recovery with Nonlinear Low-Dimensional Embeddings of Behavioral Profiles	Jax Skye	Methods & Computational Tools
Multiencoder VAE for cross-subject alignment of brain responses	Angeliki Papathanasiou	Methods & Computational Tools
Information Transfer in the Brain Is Synergistic	Sebastian Dohnány	Methods & Computational Tools
Functional Templates in fMRI: Building Accurate and Interpretable Group-Level Decoders	Pierre-Louis Barbarant	Methods & Computational Tools