Lance Ying (Harvard University): Grounding Language about Belief in a Bayesian Theory-of-Mind

Lorenzo Alencar Tomaz (Agency Enterprise, LLC): Decoding Text Embeddings From Functional MRI Data Using Deep Learning

Lorenzo Mazzaschi (Department of Physiology, Anatomy & Genetics, University of Oxford): Gated recurrent models capture auditory cortical responses

Lorenzo Sciarretta (Politecnico di Milano): Leveraging Deep Learning and Neural Networks for Emotions recognition in EEG signals

Luca Baroni (Charles University): Clustering visual sensory neurons according to their invariance

Luca Falorsi (Sapienza University of Rome; Natl. Center for Radiation Protection and Computational Physics, Istituto Superiore di Sanit`): Unsupervised dynamical learning in Recurrent Neural Networks

Lucas Rebelo Dal'Bello (Fondazione Santa Lucia): Spatial synergies-based architecture for trial-by-trial de novo motor learning

Lucy Lai (Harvard University): Policy regularization in the brain enables robustness and flexibility

Luigi Rosati (University of Rome "Tor Vergata"): Squeeze More Out of Your LSM: STDP for Big Results on a Small Budget

Luis F Seoane (Spanish National Center for Biotechnology (CNB), Spanish National Research Council (CSIC)): Optimality pressures towards lateralization of complex brain functions

Luke Eilers (University of Bern, Department of Physiology): A generalized neural tangent kernel for surrogate gradient learning

M. Virginia Bolelli (Université Paris-Saclay, CentraleSupèlec): A neural field model for flickering-induced visual illusions

Madison Cotteret (University of Groningen): Programmable Continuous Attractor Networks

Marialaura De Grazia (University of Pavia): Exploring cerebellar-related alterations in ataxic virtual mouse brain.

Marianna Inglese (Department of Biomedicine and Prevention, University of Rome Tor Vergata): Dynamic Short-Chain Fatty Acid Metabolic Data Clustering for the Genetic Profiling of Primary Brain Gliomas

Matteo Alleman (Columbia University): Modeling behavioral imprecision from neural representations

Matteo Ciferri (University of Rome Tor Vergata): Advanced MEG Analysis of Auditory and Linguistic Encoding in Spoken Language Processing

Maxine Collard (University of California, San Francisco): How would we know what an astrocyte knows?

Michael Lepori (Brown University): A Mechanistic Analysis of Same-Different Relations in ViTs

Michael Spratling (University of Luxembourg): A margin-based replacement for cross-entropy loss that improves the robustness of deep neural networks on image classification tasks

Motahareh Pourrahimi (McGill University, Mila): Priority Map Emerges in Performance-optimized Neural Network Models of Visual Search

Motahareh Pourrahimi (McGill University, Mila): Human-like Behavior and Neural Representations Emerge in a Neural Network Trained to Search for Natural Objects from Pixels

Mufeng Tang (University of Oxford): Predictive Coding Networks for Temporal Prediction

Naima Elosegui Borras (BIFOLD institute (TU Berlin)): Memory and criticality in recurrent neural networks

Nasir Ahmad (Donders Institute for Brain, Cognition and Behaviour): Correlations are ruining your gradient descent

Navid Hakimi (Laureate Institute for Brain Research): Associate Researcher

Nicola Alboré (Italian National Institute of Health - Enrico Fermi Research Center - Tor Vergata University of Rome): In search for the invisible: motor inhibition in monkey premotor cortex and in recurrent neuronal networks

Nicola Chinchella (University of Bologna): Boosting Active Inference through Ontology Design

Nora Harhen (University of California, Irvine): Developmental differences in exploration reveal differences in structure inference

Pablo Hernández-Cámara (Image Processing Lab, University of Valencia): Measuring Human-CLIP Alignment at Different Abstraction Levels

Pablo Lanillos (Spanish National Research Council): Object-centric reasoning and control from pixels

Paolo Umberto Agliati (Donders Institute for Brain, Cognition, and Behaviour): Spiking neural networks as optimal greedy controllers

Pau Vilimelis Aceituno (Institute of Neuroinformatics, ETH Zürich and University of Zürich): Cortical reciprocity reflects functional specialization

Paul Haider (Department of Physiology, University of Bern): Backpropagation through space, time and the brain

Paul Hege (Hertie Institute for Clinical Brain Research, University of Tuebingen): The Causal Structure of Band-limited Cortical Dynamics

Paul Riechers (Beyond Institute for Theoretical Science (BITS)): Computational mechanics predicts internal representations of transformers

Peter Vincent (Sainsbury Wellcome Centre): Minimal representations for orientation in recall and continuous reconstruction

Quentin Ferry (Massachusetts Institute of Technology): Emergence and Function of Abstract Representations in Self-Supervised Transformers

Raymond Khazoum (Aalto University, Department of Computer Science): Exploring the pop-put phenomenon through group sparse coding

Roey Schurr (Harvard University and The Hebrew University of Jerusalem): Dynamic computational phenotyping of human cognition

Rory John Bufacchi (International Center for Primate Brain Research, Institute of Neuroscience, Chinese Academy of Sciences): Egocentric value maps of the near-body environment

Roy Henha Eyono (McGill University , Mila- Quebec AI Institute): Inhibitory Units in Balanced E-I ANNs are distribution shift detectors

Ryan Low (Gatsby Computational Neuroscience Group, University College London): A normative account of the psychometric function and how it changes with stimulus and reward distributions

Sacha Sokoloski (University of Tuebingen): Analytically-tractable hierarchical models for neural data analysis and normative modelling

Sacha Sokoloski (University of Tuebingen): Analytically-tractable hierarchical models for neural data analysis and normative modelling

Sam Hall-McMaster (Harvard University): Neural Prioritisation of Past Solutions Supports Generalisation

Sami Mollard (Netherlands Institute for Neuroscience): How the brain learns to parse images using an attentional, incremental grouping process

Samuel Lippl (Columbia University): The impact of task structure, representational geometry, and learning mechanism on compositional generalization

Sander de Haan (Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland): From Synapses to Hierarchical Networks: Modeling Cortical Learning in the Mammalian Brain

Saranraj Nambusubramaniyan (Chemnitz University of Technology): Beyond Adam: Achieving Biological Fidelity with Dopamine, a Reward-Based Optimizer for Accelerated Gradient-Free Learning

Sebastian A. Bruijns (Max-Planck-Institute for Biological Cybernetics, University of Tübingen): Illuminating hidden state inference in mice with artificial neural networks

Seyedehsima Hashemi (Georg August University of Göttingen): The influence of calcium-mediated dendritic action potentials on clustering of the temporally correlated inputs in dendrites

Shashwat Sourav (Indian Institute of Science Education and Research (IISER) Bhopal): Quanformer : Self-Supervision with Attention

Shubham Choudhary (Harvard): Implicit generative models using kernel similarity matching

Shutian Xue (New York University): Neural Computations Underlying Performance Differences Throughout Visual Field

Simon Brandt (Universität Bern): Prospective and Retrospective Coding in Cortical and Hippocampal Pyramidal Neurons

Simone (Nicolaus Copernicus University in Torun): Homological cycles of Functional Connectivity delimit highly synergistic brain areas

Simone D'Ambrogio (University of Oxford): Mr

Sofia Raglio ("Sapienza" University of Rome): Clones of biological agents solving cognitive task: hints on brain computation paradigms

Steeve Laquitaine (EPFL (The Swiss Federal Institute of Technology)): Cell types and layers differently shape the geometry of neural representations in a biophysically detailed model of the neocortical microcircuit.

Stefano De Giorgis (Institute for Cognitive Sciences and Technologies - National Research Council (ISTC-CNR)): Sandra - A Neuro-Symbolic Reasoner for Descriptions And Situations

Stefano Diomedi (Institute of Cognitive Sciences and Technologies (ISTC), National Research Council of Italy (CNR), Padua, Italy  ): Neural subspaces in three Parietal areas during reaching planning and execution

Subhadra Mokashe (Brandeis University): Competition between memories for reactivation as a mechanism for long-delay credit assignment

Sunayana Rane (Princeton University): Can Generative Multimodal Models Count to Ten?

Tanmoy Mukherjee (University of Antwerpen): CODE

Tengjun Liu (Zhejiang University; Friedrich Miescher Institute for Biomedical Research): Cultivation of cosine-tuning in both artificial spiking and cortical neural networks during training

Tenzin Chan (Singapore University of Technology and Design): A Scalable Approach to Higher-Order Maximum Entropy Modeling for Neuroscience

Tereza Okalova (University of Pennsylvania ): Increased variability in the structural connectivity of the visual network across individuals

Tommaso Boccato (University of Rome Tor Vergata): SynaptoGen: Guiding Synaptogenesis for Task-Solving Capabilities

Veronica Centorrino (Scuola Superiore Meridionale): Towards a Top/Down Normative Framework for a Biologically Plausible Explanation of Neural Circuits: Application to Sparse Reconstruction Problems

Veronika Koren (University Medical Center Hamburg-Eppendorf): Structure, dynamics, coding and optimal biophysical parameters of efficient excitatory-inhibitory spiking networks

Vezha Boboeva (Sainsbury Wellcome Centre, UCL): Computational principles underlying the learning of sequential regularities in recurrent networks

Victor Buendía (Bocconi University): Connectome-based models of feature selectivity in a cortical circuit

Xinhao Fan (Johns Hopkins University): Synergistic information in high-dimensional neural systems

Yafan Wu (University of Cambridge): Topological data analysis reveals intrinsic differences in Autism Spectrum Conditions through whole brain sulcal features

Yuanxiang Gao (Institute of Theoretical Physics, Chinese Academy of Sciences): A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells

Yulin Dong (Peking University): Optimal mental representation of social networks explains biases in social learning and perception

Zhenyi Wang (The Hebrew University of Jerusalem): Implementing arbitrary nonlinear low-dimensional dynamical systems in large neural networks