Katja Seeliger: Investigating the sensitivity of higher order visual areas with brain-optimization of common convolutional neural network architectures

Sushrut Thorat: Characterising representation dynamics in recurrent neural networks for object recognition

Jessica Thompson: Numerical reasoning with dual-stream neural networks

Alessandro T Gifford: A large and rich EEG dataset for modeling human visual object recognition

Ayu M I Gusti Bagus: High-Level Visual Cortex Representations Linearly Generalize Like Humans, Unlike current ANNs

Adrien Doerig: Visuo-semantic transformation in the human brain and DNNs

Kai Sandbrink: How is control sensed and integrated into decision-making?

Johannes Singer: Revealing the locus and content of behaviorally relevant information about real-world scenes in human visual cortex

Laura Hansel: MorphOcc: Implicit Model for Representing Neuronal Morphologies

Ahmed ElGazzar: Modelling neural dynamics with neural differential equations

Agnessa Karapetian: Empirically identifying and computationally modelling the brain-behaviour relationship for human scene categorization

Siddharth Chaturvedi: Embodied Intelligence in Simple Dynamical Systems

Sari Sadiya: Relating Artificial and Cognitive Representations

Giacomo Aldegheri: Computational models of relational processing in human scene-selective cortex

Micha Heilbron: Higher-level spatial prediction during natural scene perception in mouse visual cortex

Maartje Koot: The Role of Predictive Dynamics in ANN Image Classification

Joachim Bellet: Dynamic selectivity of visual features in macaque monkey prefrontal cortex: A comparative analysis with deep neural networks

Noor Seijdel: Network depth improves scene segmentation: a critical test with computer generated images

Michaela Vystrcilova: Benchmarking system identification models of the retina

David Richter: What did you expect? Prediction error tuning in sensory cortex

Farbod Nosrat Nezami: Time scale-plasticity learning rule for dendritic neuron model to achieve online time-invariant sequence processing

Gabriele Merlin: Language models and brain alignment: beyond word-level semantics and prediction

Elaheh Akbarifathkouhi: Using CNNs to understand why we have an other-race effect

Victoria Bosch: End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions

Timo van Kerkoerle: Temporal dynamics of feature selectivity in neuronal populations in macaque monkey prefrontal cortex

Philip Sulewski: The Active Visual Semantics Dataset: Understanding visual intelligence in action

Cliona O’Doherty: Time as a teacher - infant AI & fMRI

Justus Hübotter: Spiking neural networks for robot control

Sebastian Musslick: Augmenting EEG with Generative Adversarial Networks Enhances Brain Decoding Across Classifiers and Sample Sizes

David-Elias Künstle: Psychophysical scaling with ordinal embedding methods

Peter König: Improved spatial knowledge acquisition through sensory augmentation

Brett David Roads: Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings

Johannes Mehrer: Topographic ANNs predict neural and behavioral responses to causal perturbations

Shreya Kapoor: Perception of Mooney faces: Extreme Generalization through Inverse Rendering?

Daniel Anthes: Diagnosing Catastrophe: Large Parts of Accuracy Loss in Continual Learning can be Accounted for by Readout Misalignment

Clemens G Bartnik: Human perception of navigational affordances in real-world environments

Katharina Dobs: Using DNNs to understand why face perception works the way it does

Dota Tianai Dong: How are Language and Vision Dynamically Integrated in the Brain During Naturalistic Movie Viewing

Lea-Maria Schmitt: What recurrent dynamics underlie perceptual inference?

Maria Eckstein: Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making

Pavithra Elumalai: Models for area V4 in free viewing macaques

Amber Brands: Spatiotemporal adaptation through divisive normalization improves deep neural network recognition of objects in noise

Davide Cortinovis: The role of action-related properties in shaping the object space in the biological and artificial brain

Niklas Müller: Investigating the Impact of High-Quality Natural Image Data for Training DCNNs

Bernhard Egger: ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development