When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Qiaorong S., Wang, Zhaoze, Balasubramanian, Vijay |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
by: Wang, Zhaoze, et al.
Published: (2024)
by: Wang, Zhaoze, et al.
Published: (2024)
Are Grid Cells Hexagonal for Performance or by Convenience?
by: Mir, Taahaa, et al.
Published: (2024)
by: Mir, Taahaa, et al.
Published: (2024)
Bridging Generative Networks with the Common Model of Cognition
by: West, Robert L., et al.
Published: (2024)
by: West, Robert L., et al.
Published: (2024)
Revealing Vision-Language Integration in the Brain with Multimodal Networks
by: Subramaniam, Vighnesh, et al.
Published: (2024)
by: Subramaniam, Vighnesh, et al.
Published: (2024)
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2025)
by: Sun, Kai, et al.
Published: (2025)
StableSleep: Source-Free Test-Time Adaptation for Sleep Staging with Lightweight Safety Rails
by: Arasu, Hritik, et al.
Published: (2025)
by: Arasu, Hritik, et al.
Published: (2025)
Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations
by: Stoewer, Paul, et al.
Published: (2023)
by: Stoewer, Paul, et al.
Published: (2023)
A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks
by: Dawes, Cutter, et al.
Published: (2025)
by: Dawes, Cutter, et al.
Published: (2025)
Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
by: Liu, Zhuo, et al.
Published: (2025)
by: Liu, Zhuo, et al.
Published: (2025)
Modeling Bioelectric State Transitions in Glial Cells: An ASAL-Inspired Computational Approach to Glioblastoma Initiation
by: Pawlak, Wiktoria Agata
Published: (2025)
by: Pawlak, Wiktoria Agata
Published: (2025)
Brain-Model Evaluations Need the NeuroAI Turing Test
by: Feather, Jenelle, et al.
Published: (2025)
by: Feather, Jenelle, et al.
Published: (2025)
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help
by: Han, Keqi, et al.
Published: (2025)
by: Han, Keqi, et al.
Published: (2025)
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
by: Spieler, Aaron, et al.
Published: (2023)
by: Spieler, Aaron, et al.
Published: (2023)
A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
by: Ahmadvand, Reza, et al.
Published: (2026)
by: Ahmadvand, Reza, et al.
Published: (2026)
A Unified Cortical Circuit Model with Divisive Normalization and Self-Excitation for Robust Representation and Memory Maintenance
by: Su, Jie, et al.
Published: (2025)
by: Su, Jie, et al.
Published: (2025)
A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
by: Krausse, Sven, et al.
Published: (2025)
by: Krausse, Sven, et al.
Published: (2025)
The Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit
by: Xie, Katherine, et al.
Published: (2025)
by: Xie, Katherine, et al.
Published: (2025)
pyhgf: A neural network library for predictive coding
by: Legrand, Nicolas, et al.
Published: (2024)
by: Legrand, Nicolas, et al.
Published: (2024)
Cycle is All You Need: More Is Different
by: Li, Xin
Published: (2025)
by: Li, Xin
Published: (2025)
Getting aligned on representational alignment
by: Sucholutsky, Ilia, et al.
Published: (2023)
by: Sucholutsky, Ilia, et al.
Published: (2023)
Evolutionary Algorithm for Reservoir Learning and Yielding
by: Testu, Julien, et al.
Published: (2026)
by: Testu, Julien, et al.
Published: (2026)
Self-orthogonalizing attractor neural networks emerging from the free energy principle
by: Spisak, Tamas, et al.
Published: (2025)
by: Spisak, Tamas, et al.
Published: (2025)
Causal pieces: analysing and improving spiking neural networks piece by piece
by: Dold, Dominik, et al.
Published: (2025)
by: Dold, Dominik, et al.
Published: (2025)
Generalisation to unseen topologies: Towards control of biological neural network activity
by: Engwegen, Laurens, et al.
Published: (2024)
by: Engwegen, Laurens, et al.
Published: (2024)
How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Symbols
by: Tresp, Volker, et al.
Published: (2024)
by: Tresp, Volker, et al.
Published: (2024)
Functional connectomes of neural networks
by: Songdechakraiwut, Tananun, et al.
Published: (2024)
by: Songdechakraiwut, Tananun, et al.
Published: (2024)
SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets
by: Zajzon, Barna, et al.
Published: (2025)
by: Zajzon, Barna, et al.
Published: (2025)
Range, not Independence, Drives Modularity in Biologically Inspired Representations
by: Dorrell, Will, et al.
Published: (2024)
by: Dorrell, Will, et al.
Published: (2024)
Self-Evidencing Through Hierarchical Gradient Decomposition: A Dissipative System That Maintains Non-Equilibrium Steady-State by Minimizing Variational Free Energy
by: McCulloch, Michael James
Published: (2025)
by: McCulloch, Michael James
Published: (2025)
Dynamical similarity analysis can identify compositional dynamics developing in RNNs
by: Guilhot, Quentin, et al.
Published: (2024)
by: Guilhot, Quentin, et al.
Published: (2024)
Equivalence of approximation by networks of single- and multi-spike neurons
by: Dold, Dominik, et al.
Published: (2026)
by: Dold, Dominik, et al.
Published: (2026)
VarCoNet: A variability-aware self-supervised framework for functional connectome extraction from resting-state fMRI
by: Lamprou, Charalampos, et al.
Published: (2025)
by: Lamprou, Charalampos, et al.
Published: (2025)
Theories of synaptic memory consolidation and intelligent plasticity for continual learning
by: Zenke, Friedemann, et al.
Published: (2024)
by: Zenke, Friedemann, et al.
Published: (2024)
Dynamics of specialization in neural modules under resource constraints
by: Béna, Gabriel, et al.
Published: (2021)
by: Béna, Gabriel, et al.
Published: (2021)
Growing a Neural Network in Breadth, Depth, and Time
by: Butkus, Eivinas, et al.
Published: (2026)
by: Butkus, Eivinas, et al.
Published: (2026)
A Concept-Value Network as a Brain Model
by: Greer, Kieran
Published: (2019)
by: Greer, Kieran
Published: (2019)
Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control
by: Kannan, Ashwin Viswanathan, et al.
Published: (2025)
by: Kannan, Ashwin Viswanathan, et al.
Published: (2025)
Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay
by: Shimizu, Genki, et al.
Published: (2025)
by: Shimizu, Genki, et al.
Published: (2025)
Neural Circuit Architectural Priors for Quadruped Locomotion
by: Bhattasali, Nikhil X., et al.
Published: (2024)
by: Bhattasali, Nikhil X., et al.
Published: (2024)
Consciousness is entailed by compositional learning of new causal structures in deep predictive processing systems
by: Aksyuk, V. A.
Published: (2023)
by: Aksyuk, V. A.
Published: (2023)
Similar Items
-
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
by: Wang, Zhaoze, et al.
Published: (2024) -
Are Grid Cells Hexagonal for Performance or by Convenience?
by: Mir, Taahaa, et al.
Published: (2024) -
Bridging Generative Networks with the Common Model of Cognition
by: West, Robert L., et al.
Published: (2024) -
Revealing Vision-Language Integration in the Brain with Multimodal Networks
by: Subramaniam, Vighnesh, et al.
Published: (2024) -
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2025)