Image de couverture de livre

ConFER: A Neurally Constrained Computational Model of Context-Dependent Fear Extinction Recall and Relapse

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Rajagopal, Shreya K., Polk, Thad A.
Format:	Preprint
Publié:	2024
Sujets:	Neurons and Cognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Neurophenomenal Structuralism and the Role of Computational Context
par: Paßler, Marlo, et autres
Publié: (2024)

GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals
par: Ali, Omair, et autres
Publié: (2024)

Computational Advances in Taste Perception: From Ion Channels to Neural Coding
par: Lazovsky, Vladimir A., et autres
Publié: (2025)

Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
par: Tian, Kaixi, et autres
Publié: (2025)

How 'Neural' is a Neural Foundation Model?
par: Bertram, Johannes, et autres
Publié: (2026)

A Coupled Neural Field Model for the Standard Consolidation Theory
par: Moyse, Lisa Blum, et autres
Publié: (2024)

Computational Auditory Periphery Models: the Return of the Rodent
par: Thienpont, Morgan, et autres
Publié: (2026)

Cortical Dynamics of Neural-Connectivity Fields
par: Cooray, Gerald K., et autres
Publié: (2024)

Modeling Dynamic Computations in the Primate Ventral Visual Stream
par: Dunnhofer, Matteo, et autres
Publié: (2026)

Robust Core-Periphery Constrained Transformer for Domain Adaptation
par: Yu, Xiaowei, et autres
Publié: (2023)

Topological Sensitivity in Connectome-Constrained Neural Networks
par: Dhiman, Nalin
Publié: (2026)

Time-Integrated Spike-Timing-Dependent-Plasticity
par: Gebhardt, William, et autres
Publié: (2024)

Consciousness Driven Spike Timing Dependent Plasticity
par: Yadav, Sushant, et autres
Publié: (2024)

Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
par: Gao, Xiaohui, et autres
Publié: (2025)

Dynamic Manifold Hopfield Networks for Context-Dependent Associative Memory
par: Li, Chong, et autres
Publié: (2025)

A Neural Network Model of the Entorhinal Cortex and Hippocampus for Event-order Memory Processing
par: Nakagawa, Hiroki, et autres
Publié: (2021)

Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve
par: Pereira, Patrícia, et autres
Publié: (2025)

Transcranial Focused Ultrasound for Identifying the Neural Substrate of Conscious Perception
par: Freeman, Daniel K., et autres
Publié: (2025)

Toward Robust, Reproducible, and Widely Accessible Intracranial Language Brain-Computer Interfaces: A Comprehensive Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, Clinical Pathways and Future Directions
par: He, Dongyi, et autres
Publié: (2026)

Robust Evaluation of Neural Encoding Models via ground-truth approximation
par: Di Liberto, Giovanni M.
Publié: (2026)

Mortal Computation: A Foundation for Biomimetic Intelligence
par: Ororbia, Alexander, et autres
Publié: (2023)

Chaotic Oscillatory Associative Memory
par: Rohan, Nurani Rajagopal, et autres
Publié: (2024)

Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes
par: Lu, Qihong, et autres
Publié: (2023)

Modeling Higher-Order Interactions in Sparse and Heavy-Tailed Neural Population Activity
par: Rodríguez-Domínguez, Ulises, et autres
Publié: (2023)

Causal Spike Timing Dependent Plasticity Prevents Assembly Fusion in Recurrent Networks
par: Yang, Xinruo, et autres
Publié: (2025)

Phase Alignment Enhances Oscillatory Power in Neural Mass Models Optimized for Class Encoding
par: Pei, Alexander
Publié: (2025)

Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?
par: Di Liberto, Giovanni M., et autres
Publié: (2025)

Human Navigation Behaviour and Brain Dynamics in Real-world Contexts
par: Velasco, Pablo Fernandez, et autres
Publié: (2026)

The Relationship between Cognition and Computation: "Global-first" Cognition versus Local-first Computation
par: Chen, Lin
Publié: (2025)

The Predictive Brain: Neural Correlates of Word Expectancy Align with Large Language Model Prediction Probabilities
par: Kölbl, Nikola, et autres
Publié: (2025)

Exploring a Specialized Eccentricity-Based Deep Neural Network Model to Simulate Visual Attention
par: Jain, Manvi
Publié: (2025)

Emergent Spatiotemporal Dynamics in Large-Scale Brain Networks with Next Generation Neural Mass Models
par: Delicado, Rosa Maria, et autres
Publié: (2025)

Allocentric Navigation Is Computationally Universal
par: Piccinini, Gualtiero
Publié: (2026)

Metric-Topology Factorization: A Computational Framework for Hippocampal-Neocortical Intelligence
par: Li, Xin
Publié: (2026)

Sensitivity analysis enlightens effects of connectivity in a Neural Mass Model under Control-Target mode
par: Vallet, Anaïs, et autres
Publié: (2025)

Hierarchically Modular Dynamical Neural Network Relaxing in a Warped Space: Basic Model and its Characteristics
par: Tsutsumi, Kazuyoshi, et autres
Publié: (2022)

Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
par: Zhu, Yu, et autres
Publié: (2025)

Analysis of Activity Dependent Development of Topographic Maps in Neural Field Theory with Short Time Scale Dependent Plasticity
par: Gale, Nicholas, et autres
Publié: (2021)

Real-World fNIRS-Based Brain-Computer Interfaces: Benchmarking Deep Learning and Classical Models in Interactive Gaming
par: Ghalavand, Mohammad, et autres
Publié: (2025)

An Uncertainty Principle for Probabilistic Computation in the Retina
par: Taranath, Jayanth R, et autres
Publié: (2025)