Kalel Luiz Rossi Metastability in Neural Dynamics: Properties, Mechanisms and Computations

Kamila Jozwik First Steps in Using Topographic Deep Artificial Neural Network Models to Generate Hypotheses about Not-yet-detected Functional Neural Aggregates in the Ventral Stream

Keith Murray V1 signatures of generative computations in a discrimination task

Kevin Kermani Nejad Self-supervised predictive learning accounts for cortical layer-specificity

Kilian Abellaneda-Pérez A novel javascript-based bioinformatics tool for web-based 3D visualization and analysis of functional neuroimaging data

Kipngeno Koech Improving SSVEP BCI Spellers With Data Augmentation and Language Models

Krubeal Danieli Flexible navigation with neuromodulated cognitive maps

Kuinan Hou Effects of Numerosity Distribution on CVAE Learning: Comparing Zipfian and Uniform Datasets

Kyriakos Birmpas A Mathematical Modeling Framework for Multisensory Learning in Perceptual Decision-Making

Lennart Landsmeer Cerebellar Biocomputation for Neuromuscular Control via Differentiable Physics Simulation and Gradient-based Learning

Li Wenjie Neural Networks Reveal a Cognitive Continuum Toward Human Abstraction

Lika Ambrosishvili Understanding Top-Down and Bottom-Up Attention Across Humans and Computational Models

Linda Bryant Neural and Clinical Signatures of Ketamine Response in Treatment Resistant Depression: A Machine Learning Approach

Louis Jalouzot Metric Learning Encoding Models

Luke Cheng A mathematical theory of relational generalization in the face of exceptions

Luning He Divergent Strategies: How LLMs and Humans Navigate High-Risk, High-Reward Decision-Making

Madiha Khan Gene Expression in Parkinson’s Disease: A Phylostratigraphic Analysis Using Tabula Muris Senis

Maria Avramidou AI capabilities for scientific automation

Mark Christian Guinto Local activity principle as a theory on the emergence of grid cells

Mateo Mikulić Towards Full Laboratory Automation: Identification of Bacteria Using Machine Learning and Hyperspectral Imaging

Matteo Cipollina Formal Verification of Hopfield Networks with the Lean Theorem Prover

Mattia Della Vecchia Study of motor adaptation in a deep reinforcement learning framework

Mels Akhmetali Astrocyte activity improves trial-to-trial prediction of neural responses to visual stimuli

Michael Popov AI -Driven Insights and the odd-Cycle game in cognitive science

Michael Popov Perfect Numbers of Synaptic Transmission

Miguel de Llanza Varona A predictive and efficient coding account of information-processing under constraints

Mihai Bujanca Semantic Representations in Artificial and Biological Neural Networks: A Geometric Perspective

Milan Maksimovic Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations

Mina Idris Staging Alzheimer’s disease progression in Down Syndrome using mixed clinical, biofluid and structural MRI markers with machine learning

Mohadeseh Shafiei Kafraj A Biologically Plausible Associative Memory Network

Moritz Grosse-Wentrup Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognition

Neeraj Mohan Sushma State-space models can learn in-context by gradient descent

Nicolas Skatchkovsky A Biologically Inspired Attention Model for Neural Signal Analysis

Oleg Maslennikov Evolving representations and selective populations during reinforcement learning in recurrent neural networks for context-dependent decision-making tasks

Olga Tapinova Integrated Ising Model with global inhibition for decision making

Olivier Saidi Bridging Pattern-Aware Complexity with NP-Hard Optimization: A Unifying Framework and Empirical Study

Pablo Marcos-Manchón Hierarchical Convergence of Neural Activity and Deep Learning Representations during Scene Processing

Paul Hege Temporal irreversibility of large-scale cortical dynamics

Paul M. Riechers The nature of computation in neural networks transcends the paradigm of classical computation

Philipp Werthmann Estimating flexible across-area communication with neurally-constrained RNNs

Poppy Collis Attention Unifies Bayesian Models of Confidence in Decision-Making

Prakhar Godara Bias or Optimality? Disentangling Bayesian Inference and Learning Biases in Human Decision-Making

Qilin Chen Surrogate Modelling for Multi-compartmental Single Neurons

Quilee Simeon Stochastic Partial Stimulation for Network Connectivity Inference: A Simulation Approach

Reza Mokhtari fPI-KANs: fractional Physics-Informed Kolmogorov-Arnold Networks for solving Mobile-Immobile Problems in Complex 2D Domains

River Betting Oikonomos-GPX, a Gaussian-Process-Extended Resource-Recommendation System for Cloud HPC

Rivkind Alexander Temporal Coding Enables Hyperacuity in Event Based Vision

Ruben Tammaro Latent Connectivity Patterns in Prefrontal Microcircuits Reveal Independent Laminar Populations

Sabin Roman A method for the symbolic identification of differential equations

Sakshi Gupta A Computational Working Memory Model : Interaction between sustained activity and activity-silent mechanism in Prefrontal Cortex linking with Long-term Memory

Sebastian Castedo Energy-Efficient Neural Coding Under Food Restriction: Structure, Noise, and Resilience

Shane Shang Unraveling the Geometry of Visual Relational Reasoning

Shreya Parchure Predicting and Explaining Language Cognition in Post Stroke Aphasia from Clinical Multimodal Data using Machine Learning

Simin Mohammadzadeh Enhancing Visual Feature Stability in Spiking Neural Networks Using Structured Receptive Fields

Sunder Bukya Cognitive Maturity and Gender Variance in Decision-Making Among Young Indian Adults

SungJun Cho Discrete Representation of Long-Range Brain Network Dynamics via Generative Modelling

T. Anderson Keller Can Visual Cortical Neurons Hear the Shape of an Object?

Tim Kerr Establishing the heritability of reinforcement learning parameters in human fear conditioning

Varun Dhanraj Improving Rule-based Reasoning in LLMs via Neurosymbolic Representations

Vassilis Cutsurdis Generative Adversarial Network for Image Reconstruction from Human Brain Activity

Vatsala Nema Modeling neural dynamics using periodic structured state-space model

Venkatakrishnan Ramaswamy Memorizing Deep Networks can generalize (much better)

Vikas Arya Investigating Neural Diversity on Bayesian Probabilistic Inference Using a Lifespan Prediction Task in NENGO

Volker Tresp The Mind as a Decoherent Quantum Computer

William Zhang Neuro-immune interactions pathways: a critical review of current and future prospectus

Winifred Emma Cook Optimising Basecallers for Detecting and Sizing Repeat Expansions

Xiao-Xiong Lin Emergence of Spatial Representation in a Deep Reinforcement Learning Agent with Prewired Hippocampal Sequences

Yoyo Yuan Grokking neuronal computing

Yukti Chopra Adaptability of perceptual biases in Short term working memory

Yukun Yang Learning order relations between items by a single layer of synaptic connections

Yuqing Zhu Dynamic Normalized Reward-Driven Attention in Spiking Neural Networks

Zsombor Ungvárszki Signatures of Value Tracking for Strategy Switching in the Prefrontal Cortex

Ashley H Kim Neuron Morphology Comparison Using Graph Gromov–Wasserstein and Optimized 2D Embeddings