:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bacvanski, Marc Gong, Ziyin, Liu, Poggio, Tomaso
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Neurons and Cognition
Online Access:	https://arxiv.org/abs/2510.18808
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Heterosynaptic Circuits Are Universal Gradient Machines
by: Ziyin, Liu, et al.
Published: (2025)

HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
by: Deng, Zhichao, et al.
Published: (2025)

Supervised Training Rapidly Degrades Early Visual Cortex Alignment Across Biologically Plausible Learning Rules
by: Leutenegger, Nils
Published: (2026)

Proof of a perfect platonic representation hypothesis
by: Ziyin, Liu, et al.
Published: (2025)

Training Large Neural Networks With Low-Dimensional Error Feedback
by: Hanut, Maher, et al.
Published: (2025)

Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
by: Chun, Chanwoo, et al.
Published: (2025)

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
by: Wang, Yule, et al.
Published: (2023)

NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text
by: Yang, Yanting, et al.
Published: (2025)

Observable Performance Does Not Fully Reflect System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint
by: Raynal, Jacques, et al.
Published: (2026)

Attention for Causal Relationship Discovery from Biological Neural Dynamics
by: Lu, Ziyu, et al.
Published: (2023)

Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network
by: Zhou, Shuo, et al.
Published: (2024)

Concept Alignment
by: Rane, Sunayana, et al.
Published: (2024)

NOBLE -- Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models
by: Ghafourpour, Luca, et al.
Published: (2025)

Mirror-Neuron Patterns in AI Alignment
by: Wyrick, Robyn
Published: (2025)

REALM: Retrospective Encoder Alignment for LFP Modeling
by: Wu, Peicheng, et al.
Published: (2026)

DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
by: Li, Weibin, et al.
Published: (2025)

Relational reasoning and inductive bias in transformers and large language models
by: Geerts, Jesse, et al.
Published: (2025)

Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment
by: Chen, Ruiqi, et al.
Published: (2025)

Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method
by: Gong, Lulu, et al.
Published: (2025)

Causal Interpretation of Neural Network Computations with Contribution Decomposition
by: Melander, Joshua Brendan, et al.
Published: (2026)

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
by: Yu, Chengting, et al.
Published: (2025)

Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification
by: Gangapuram, Harshini, et al.
Published: (2024)

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience
by: Liu, Zinan, et al.
Published: (2025)

Nonlinear Dynamical Modeling of Human Intracranial Brain Activity with Flexible Inference
by: Vaziri, Kiarash, et al.
Published: (2025)

Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration
by: Chen, Jianwei, et al.
Published: (2026)

Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning
by: Ziyin, Liu, et al.
Published: (2025)

Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches
by: Mamidala, Srilekha
Published: (2023)

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech
by: Ntampakis, Nikolaos, et al.
Published: (2025)

Langevin Flows for Modeling Neural Latent Dynamics
by: Song, Yue, et al.
Published: (2025)

Oscillatory Signatures of Parkinson's Disease: Central and Parietal EEG Alterations Across Multiple Frequency Bands
by: Lensky, Artem
Published: (2025)

POCO: Scalable Neural Forecasting through Population Conditioning
by: Duan, Yu, et al.
Published: (2025)

Transformer brain encoders explain human high-level visual responses
by: Adeli, Hossein, et al.
Published: (2025)

Emergent time-keeping mechanisms in a deep reinforcement learning agent performing an interval timing task
by: Pednekar, Amrapali, et al.
Published: (2025)

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
by: Arora, Vinam, et al.
Published: (2025)

Scaling and context steer LLMs along the same computational path as the human brain
by: Raugel, Joséphine, et al.
Published: (2025)

A ghost mechanism: An analytical model of abrupt learning in recurrent networks
by: Dinc, Fatih, et al.
Published: (2025)

Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
by: Salvatore, Nikolaus, et al.
Published: (2025)

Lost in the Middle: An Emergent Property from Information Retrieval Demands in LLMs
by: Salvatore, Nikolaus, et al.
Published: (2025)

Estimating Dimensionality of Neural Representations from Finite Samples
by: Chun, Chanwoo, et al.
Published: (2025)

Ensemble-based graph representation of fMRI data for cognitive brain state classification
by: Vlasenko, Daniil, et al.
Published: (2025)