Adam Sayyed Generating Fine-tuned Models Using Implicit Neural Representation
Adam Manoogian An Active Inference model of contextual inference in schizophrenia
Alberto Petrin Modelling visual working memory: a computational approach for continuous response space data
Alejandro Chinea Manrique de Lara On the Algebraic Structure of Biological Intelligence: Underlying Permutation Groups
Alexander D Bird Refining degeneracy with Pareto optimality in a population model of dentate gyrus granule cells
Alireza Valizadeh Plasticity-Driven Delay Selection Enhances Resonance-Driven Communication in Neural Networks
Alma Vivas-Lago Maintaining Motor Plans under Competing Visual Demands
Alon Baram An abstract relational map emerges in the human medial prefrontal cortex with time
Amr Farahat Neural responses in early, but not late, visual cortex are well predicted by random-weight CNNs with sufficient model complexity
Andrii Krutsylo Scaling the Forward-Forward Algorithm to Deep and Structured Architectures
Aneeqa Mehrab Enhancing CNNs robustness to occlusions with bioinspired filters for border completion
Angeline Wang Neuroscientifically-Grounded Affective Empathy in AI: Modeling Internal Pain States for Enhanced Emotional Support
Anita Keshmirian Collective Moral Reasoning in Multi-Agent LLMs
Antonio Max From Pixels to Words: A Thermodynamic Bridge to Mind and Language
Anush Ghambaryan A Model of Human Choice Adaptation in Uncertainty
Anushka Deshpande Strategic Decision-Making in Biological and Artificial Brains
Arno Granier Building functional and mechanistic models of cortical computation based on canonical cell type connectivity
Arno Granier Multihead self-attention in corticothalamic circuits
Arthur Pellegrino Recurrent neural network connectivity shapes the Riemannian geometry of neural representations
Aslan Satary Dizaji Incentives to Build Houses, Trade Houses, or Trade House Building Skills in Simulated Worlds under Various Governing Systems or Institutions: Comparing Multi-agent Reinforcement Learning to Generative Agent-based Model
Ben Griffin Stacking models of brain dynamics to improve prediction of subject traits in fMRI
Can Demircan Sparse autoencoders reveal temporal difference learning in large language models
Carlo Paris Direction selective retinal ganglion cells strive for uniform encoding of directions of motion
Celaleddin Savas Investigating Vagal Feedback Loops in Allergic Inflammation
Chen Li Detecting Expertise Influence on Teamwork in Sustainable Urban Design Workshops through a System Model
Chengting Yu Binding of heterogeneous information content through one-shot synaptic plasticity in simple neural network models
Christian Klos Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Christian Schmitz Speech Analysis of Psychotherapeutic Treatment in a Transdiagnostic Context (SAVER): A study concept
Christopher Hillar Storing isomorphism classes of graphs in Hopfield networks
Constantine Dovrolis Hierarchically modularity in neural networks improves generalization and learning efficiency
Daniel Humphries Entorhinal Grid Cells Encode Location in Prefrontal Task Space
Davor Curic Regularization Flow: A Geometry-Aware Method for Functional Discrimination
Dereje Senay Custom Convolutional Neural Network for COVID-19 Screening and Severity Assessment in Chest CT Imaging
Dianna Hidalgo Modeling Development, Learning, and Robustness in Vision Using Deep Hierarchical Networks
Dijana Ostojic Machine Learning Predicts Traumatic Experiences To Be a Risk Factor For Auditory Verbal Hallucinations in Both the General Population and Individuals Diagnosed with Psychosis
Dimitris Pinotsis Electric fields, the cytoskeleton and quantum mechanics
Domonkos Martos Uncertainty in latent representations of variational autoencoders optimized for visual tasks
Eirini Troullinou Brain-Inspired Recurrent Neural Network Featuring Dendrites for Efficient and Accurate Learning in Classification Tasks
El Bakkali Fatima Zahrae Mathematical Modeling of Neural Stem Cell Dynamics: Bridging Regeneration and Computational Intelligence.
Eldad Assa Temporal coding enables hyperacuity in event based vision
Erie Boorman A Grid-like Representation of a Subjective Value Space
Esta Shrewsbury Reactivation of Evolutionarily Ancient Pathways in Brain Cancer through Phylostratigraphic Analysis
Ferenc Csikor Stimulus-driven top-down computations in the visual cortex: a normative account
Francesco Innocenti JPC: Flexible Inference for Predictive Coding Networks in JAX
Gabriele Scheler Non-standard memory models with indexed retrieval
Giampiero Bardella Multiscale Network Dynamics in the Human Brain: A Laplacian Renormalization Approach
Giampiero Bardella Finding the right neuron at the right time: spatiotemporal localization of neurons influence during behavior
Goran Ivančić Moore Machine architecture implemented purely on a multi-layer Hopfield network: a different perspective of sequential memory in humans
Hamed Shabani Neural Manifold Dynamics Underlying Learning in the Mouse Medial Prefrontal Cortex
Hannaneh Fahimi Sheyjani Geometric representation of complex data in low dimensions
Hui Lin Getting neural networks to think: Solving problems by sampling from cognitive maps
Hurram Chaudry Mathematical Modeling for Precision Psychiatry: Graph-Theoretic and Bayesian Approaches to Neurodevelopmental Disorders
Isaac Joffe A Biologically Plausible Model of Mental Multiplication
Isabel M Cornacchia Dynamical systems principles underlie the ubiquity of biological data manifolds
Ishan Kalburge Invariant probabilistic representations in neural networks
Jack Brady Generation is Required for Robust Perception
Jan Antolik Advancing Visual Neuroscience with Biologically Inspired Recurrent Neural Networks
Jan Hula A Simplified Model for Navigation in Large State-spaces
Janis Keck Unifying normative and scaffold models of grid cells
Jesseba Fernando Transformer Dynamics: A neuroscientific approach to interpretability of large language models
Jingmeng Chang A Dual-Level Representation Model of Human Spatial Preference: Behavioral and Neural-Inspired Modeling in Large-Scale Seat Selection Tasks
Josue Casco-Rodriguez SplineCam-SNN: Understanding recurrent spiking networks as piecewise-linear functions
Josue Casco-Rodriguez RNN Replay: Leakage, Adaptation, and Underdamped Dynamics
Jungmin Lee Behavioral models of value-based decision-making in non-human primates
Kaleab Belay Analyzing neuromodulation of neural network dynamics