Imagen de Portada

Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Zhaoze, Di Tullio, Ronald W., Rooke, Spencer, Balasubramanian, Vijay
Formato:	Preprint
Publicado:	2024
Materias:	Neurons and Cognition Artificial Intelligence Machine Learning Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells
por: Yu, Qiaorong S., et al.
Publicado: (2026)

Spatial Spiking Neural Networks Enable Efficient and Robust Temporal Computation
por: Landsmeer, Lennart P. L., et al.
Publicado: (2025)

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

Emergence of robust looming selectivity via coordinated inhibitory neural computations
por: Fu, Qinbing, et al.
Publicado: (2025)

Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
por: Pedersen, Jens Egholm, et al.
Publicado: (2026)

Regime Mapping of Oscillatory States in Balanced Spiking Networks with Multiple Time Scales
por: Kuo, Tsung-Han, et al.
Publicado: (2026)

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

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
por: Huang, Liwei, et al.
Publicado: (2024)

Smooth Exact Gradient Descent Learning in Spiking Neural Networks
por: Klos, Christian, et al.
Publicado: (2023)

A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
por: Ahmadvand, Reza, et al.
Publicado: (2026)

How the Stroop Effect Arises from Optimal Response Times in Laterally Connected Self-Organizing Maps
por: Prabhakaran, Divya, et al.
Publicado: (2025)

Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
por: Zhang, Duzhen, et al.
Publicado: (2024)

Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay
por: Shimizu, Genki, et al.
Publicado: (2025)

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
por: Huang, Liwei, et al.
Publicado: (2023)

"What" x "When" working memory representations using Laplace Neural Manifolds
por: Sarkar, Aakash, et al.
Publicado: (2024)

Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance
por: Rudnicka, Zofia, et al.
Publicado: (2025)

Teaching signal synchronization in deep neural networks with prospective neurons
por: Zucchet, Nicoas, et al.
Publicado: (2025)

On Broken Symmetry in Cognition
por: Li, Xin
Publicado: (2023)

Building functional and mechanistic models of cortical computation based on canonical cell type connectivity
por: Granier, Arno, et al.
Publicado: (2025)

Analysis of a Spatialized Brain-Body-Environment System
por: Pak, Denizhan, et al.
Publicado: (2025)

The generalized Hierarchical Gaussian Filter
por: Weber, Lilian Aline, et al.
Publicado: (2023)

Exploring the role of structure in a time constrained decision task
por: Chaix-Eichel, Naomi, et al.
Publicado: (2024)

Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions
por: Keskin, Esila
Publicado: (2026)

Reply to: Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit
por: Moyal, Roy, et al.
Publicado: (2024)

A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems
por: Keller, T. Anderson, et al.
Publicado: (2024)

Canonical Functionalism: Defining Functional Structure without Observer-Relative Semantic Maps
por: Kanai, Ryota, et al.
Publicado: (2026)

BrainFuse: a unified infrastructure integrating realistic biological modeling and core AI methodology
por: Chen, Baiyu, et al.
Publicado: (2026)

Heterogeneous quantization regularizes spiking neural network activity
por: Moyal, Roy, et al.
Publicado: (2024)

Evolving choice hysteresis in reinforcement learning: comparing the adaptive value of positivity bias and gradual perseveration
por: Hoxha, Isabelle, et al.
Publicado: (2024)

Designing an adaptive room for captivating the collective consciousness from internal states
por: Flores-Ramírez, Adán, et al.
Publicado: (2024)

Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
por: Bhandarkar, Shaunak, et al.
Publicado: (2025)

Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism
por: Korcsak-Gorzo, Agnes, et al.
Publicado: (2025)

Discovering alternative solutions beyond the simplicity bias in recurrent neural networks
por: Qian, William, et al.
Publicado: (2025)

Coin-Flipping In The Brain: Statistical Learning with Neuronal Assemblies
por: Dabagia, Max, et al.
Publicado: (2024)

Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing
por: Metzner, Claus, et al.
Publicado: (2024)

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
por: Shankar, Sohan, et al.
Publicado: (2025)

The Role of Excitatory Parvalbumin-positive Neurons in the Tectofugal Pathway of Pigeon (Columba livia) Hierarchical Visual Processing
por: Lu, Shan, et al.
Publicado: (2025)

Recombinant dynamical systems
por: Kato, Saul
Publicado: (2025)

Lu.i -- A low-cost electronic neuron for education and outreach
por: Stradmann, Yannik, et al.
Publicado: (2024)

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
por: Ravichandran, Naresh, et al.
Publicado: (2024)