Copertina

TopoNets: High Performing Vision and Language Models with Brain-Like Topography

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Deb, Mayukh, Deb, Mainak, Murty, N. Apurva Ratan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Neural and Evolutionary Computing Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Brain-Model Evaluations Need the NeuroAI Turing Test
di: Feather, Jenelle, et al.
Pubblicazione: (2025)

Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
di: Cook, Jack, et al.
Pubblicazione: (2025)

Revealing Vision-Language Integration in the Brain with Multimodal Networks
di: Subramaniam, Vighnesh, et al.
Pubblicazione: (2024)

Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
di: Antoniades, Antonis, et al.
Pubblicazione: (2023)

Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics
di: Srinivasan, Keshav, et al.
Pubblicazione: (2025)

BrainNPT: Pre-training of Transformer networks for brain network classification
di: Hu, Jinlong, et al.
Pubblicazione: (2023)

The Generalist Brain Module: Module Repetition in Neural Networks in Light of the Minicolumn Hypothesis
di: Kvalsund, Mia-Katrin, et al.
Pubblicazione: (2025)

A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
di: Kotani, Atsunobu, et al.
Pubblicazione: (2024)

Optimal Learning Rate Schedule for Balancing Effort and Performance
di: Njaradi, Valentina, et al.
Pubblicazione: (2026)

Achieving More Human Brain-Like Vision via Human EEG Representational Alignment
di: Lu, Zitong, et al.
Pubblicazione: (2024)

Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model
di: Jin, Beige Jerry, et al.
Pubblicazione: (2025)

Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning
di: Ororbia, Alexander, et al.
Pubblicazione: (2025)

Emergence of the Primacy Effect in Structured State-Space Models
di: Morita, Takashi
Pubblicazione: (2025)

Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control
di: Kannan, Ashwin Viswanathan, et al.
Pubblicazione: (2025)

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
di: Guo, Zhengrui, et al.
Pubblicazione: (2024)

Bayesian Theory of Consciousness as Exchangeable Emotion-Cognition Inference
di: Li, Xin
Pubblicazione: (2024)

ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis
di: Arasu, Hritik, et al.
Pubblicazione: (2025)

Phasor Agents: Oscillatory Graphs with Three-Factor Plasticity and Sleep-Staged Learning
di: Trappe, Rodja
Pubblicazione: (2026)

Graph-Based Representation Learning of Neuronal Dynamics and Behavior
di: Khajehnejad, Moein, et al.
Pubblicazione: (2024)

Joint sparse coding and temporal dynamics support context reconfiguration
di: Shi, Qianqian, et al.
Pubblicazione: (2026)

Spike-Timing-Dependent Plasticity for Bernoulli Message Passing
di: Adamiat, Sepideh, et al.
Pubblicazione: (2025)

ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks
di: Li, Junyan, et al.
Pubblicazione: (2025)

Storing overlapping associative memories on latent manifolds in low-rank spiking networks
di: Podlaski, William F., et al.
Pubblicazione: (2024)

Expressivity of Neural Networks with Random Weights and Learned Biases
di: Williams, Ezekiel, et al.
Pubblicazione: (2024)

On the relationship between predictive coding and backpropagation
di: Rosenbaum, Robert
Pubblicazione: (2021)

On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
di: Kleyko, Denis, et al.
Pubblicazione: (2024)

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
di: Chavlis, Spyridon, et al.
Pubblicazione: (2024)

Synaptic Weight Distributions Depend on the Geometry of Plasticity
di: Pogodin, Roman, et al.
Pubblicazione: (2023)

The dynamic interplay between in-context and in-weight learning in humans and neural networks
di: Russin, Jacob, et al.
Pubblicazione: (2024)

Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy
di: Ghosh, Arna, et al.
Pubblicazione: (2025)

Cross-Species RSA Reveals Conserved Early Visual Alignment but Divergent Higher-Area Rankings Across Human fMRI and Macaque Electrophysiology
di: Leutenegger, Nils
Pubblicazione: (2026)

Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks
di: Brenner, Rorry, et al.
Pubblicazione: (2025)

Stimulus-to-Stimulus Learning in RNNs with Cortical Inductive Biases
di: Vafidis, Pantelis, et al.
Pubblicazione: (2024)

Meta-Learning Strategies through Value Maximization in Neural Networks
di: Carrasco-Davis, Rodrigo, et al.
Pubblicazione: (2023)

Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
di: Chou, Chi-Ning, et al.
Pubblicazione: (2025)

Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
di: Wu, Xundong, et al.
Pubblicazione: (2023)

Sufficient conditions for offline reactivation in recurrent neural networks
di: Krishna, Nanda H., et al.
Pubblicazione: (2025)

Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule
di: Fan, Xinhao, et al.
Pubblicazione: (2024)

R-FORCE: Robust Learning for Random Recurrent Neural Networks
di: Zheng, Yang, et al.
Pubblicazione: (2020)

Harmonic fractal transformation for modeling complex neuronal effects: from bursting and noise shaping to waveform sensitivity and noise-induced subthreshold spiking
di: Sorokina, Mariia
Pubblicazione: (2025)