Copertina

Learning From the Past with Cascading Eligibility Traces

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ralambomihanta, Tokiniaina Raharison, Anokhin, Ivan, Pogodin, Roman, Kahou, Samira Ebrahimi, Cornford, Jonathan, Richards, Blake Aaron
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Inhibitory normalization of error signals improves learning in neural circuits
di: Eyono, Roy Henha, et al.
Pubblicazione: (2026)

Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites
di: Islah, Nizar, et al.
Pubblicazione: (2023)

Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining
di: Bae, Sangyoon, et al.
Pubblicazione: (2025)

Past Psychedelic Use Predicts Divergent Thinking
di: Pope, Gregory J, et al.
Pubblicazione: (2026)

Summary statistics of learning link changing neural representations to behavior
di: Zavatone-Veth, Jacob A., et al.
Pubblicazione: (2025)

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

Computational modelling of Parkinson's disease: A multiscale approach with deep brain stimulation and stochastic noise
di: Herrera, Aaron, et al.
Pubblicazione: (2025)

INTENSE: Detecting and disentangling neuronal selectivity in calcium imaging data
di: Pospelov, Nikita, et al.
Pubblicazione: (2026)

How EEG preprocessing shapes decoding performance
di: Kessler, Roman, et al.
Pubblicazione: (2024)

Counterfactual Analysis of Brain Network Dynamics
di: Chung, Moo K., et al.
Pubblicazione: (2026)

Poisson Flow Model of Cortical Folding Pattern
di: Chung, Moo K., et al.
Pubblicazione: (2026)

Reinforcement Learning as a Robotics-Inspired Framework for Insect Navigation: From Spatial Representations to Neural Implementation
di: Lochner, Stephan, et al.
Pubblicazione: (2024)

Functional Brain-to-Brain Transformation with No Shared Data
di: Wasserman, Navve, et al.
Pubblicazione: (2024)

Reduced rank regression for neural communication: a tutorial for neuroscientists
di: Wu, Bichan, et al.
Pubblicazione: (2025)

Cerebellar Contributions to Action and Cognition: Prediction, Timescale, and Continuity
di: Tsay, Jonathan, et al.
Pubblicazione: (2025)

Iron role paradox in nerve degeneration and regeneration
di: Bolandghamat, Samira, et al.
Pubblicazione: (2024)

Self-regulated emergence of heavy-tailed weight distributions in evolving complex network architectures
di: Li, Jia, et al.
Pubblicazione: (2025)

Latent computing by biological neural networks: A dynamical systems framework
di: Dinc, Fatih, et al.
Pubblicazione: (2025)

Imaging mitochondrial calcium dynamics in the central nervous system
di: Serrat, Roman, et al.
Pubblicazione: (2024)

How connectivity structure shapes rich and lazy learning in neural circuits
di: Liu, Yuhan Helena, et al.
Pubblicazione: (2023)

Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
di: Burelli, Paolo, et al.
Pubblicazione: (2024)

Beyond Flickering: Introducing Code-Modulated Motion Visual Evoked Potentials for Brain-Computer Interfacing
di: Scheppink, Hanneke, et al.
Pubblicazione: (2026)

State-switching navigation strategies in C. elegans are beneficial for chemotaxis
di: Chen, Kevin S., et al.
Pubblicazione: (2025)

From self-organizing systems to subjective temporal extension
di: Bellingrath, Jan Erik
Pubblicazione: (2024)

A Normative Theory of Decision Making from Multiple Stimuli: The Contextual Diffusion Decision Model
di: Shvartsman, Michael, et al.
Pubblicazione: (2026)

Future of Brain Health: From Developmental Insights to Clinical Translation
di: Chertoff, Mariela, et al.
Pubblicazione: (2025)

From Modules to Movement: Deconstructing the Modular Architecture of the Motor System
di: Salatiello, Alessandro
Pubblicazione: (2026)

Computational Advances in Taste Perception: From Ion Channels to Neural Coding
di: Lazovsky, Vladimir A., et al.
Pubblicazione: (2025)

From Transformer to Biology: A Hierarchical Model for Attention in Complex Problem-Solving
di: Lin, Zhongqiao, et al.
Pubblicazione: (2024)

From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping
di: Woodhouse, Heather, et al.
Pubblicazione: (2025)

From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production
di: Zhang, Mingfang, et al.
Pubblicazione: (2025)

From Physics to Sentience: Deciphering the Semantics of the Free-Energy Principle and Evaluating its Claims
di: Sheikhbahaee, Zahra, et al.
Pubblicazione: (2024)

From Neuronal Packets to Thoughtseeds: A Hierarchical Model of Embodied Cognition in the Global Workspace
di: Kavi, Prakash Chandra, et al.
Pubblicazione: (2024)

From Density to Void: Why Brain Networks Fail to Reveal Complex Higher-Order Structures
di: Chung, Moo K., et al.
Pubblicazione: (2025)

Who Saves us From Risk? Altruists Promote Cooperation in a Public Investment Game
di: Zhang, Shen, et al.
Pubblicazione: (2024)

From Artificial Intelligence to Active Inference: The Key to True AI and 6G World Brain [Invited]
di: Maier, Martin
Pubblicazione: (2025)

The Neuromorphic Supremacy
di: Tsybina, Yuliya, et al.
Pubblicazione: (2026)

Learning to cluster neuronal function
di: Nellen, Nina S., et al.
Pubblicazione: (2025)

Learning continually with representational drift
di: van der Veldt, Suzanne, et al.
Pubblicazione: (2025)