Image de couverture de livre

Stability Control of Metastable States as a Unified Mechanism for Flexible Temporal Modulation in Cognitive Processing

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kurikawa, Tomoki, Kaneko, Kunihiko
Format:	Preprint
Publié:	2025
Sujets:	Neurons and Cognition Disordered Systems and Neural Networks Adaptation and Self-Organizing Systems Biological Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fluctuation-learning relationship in neural networks
par: Kurikawa, Tomoki, et autres
Publié: (2024)

Slow and Fast Neurons Cooperate in Contextual Working Memory through Timescale Diversity
par: Kurikawa, Tomoki
Publié: (2025)

Representational Drift and Learning-Induced Stabilization in the Olfactory Cortex
par: Morales, Guillermo B., et autres
Publié: (2024)

Symmetry's Edge in Cortical Dynamics: Multiscale Dynamics of Ensemble Excitation and Inhibition
par: Dehghani, Nima
Publié: (2023)

Does the brain behave like a (complex) network? I. Dynamics
par: Papo, D., et autres
Publié: (2024)

Low-dimensional model for adaptive networks of spiking neurons
par: Pietras, Bastian, et autres
Publié: (2024)

Finite-time scaling on low-dimensional map bifurcations
par: Martin, Daniel A., et autres
Publié: (2025)

Exact neural mass model for synaptic-based working memory
par: Taher, Halgurd, et autres
Publié: (2020)

Quantifying plasticity: a network-based framework linking structure to dynamical regimes
par: Branchi, Igor
Publié: (2026)

Optimal input reverberation and homeostatic self-organization towards the edge of synchronization
par: Rhâmidda, Sue L., et autres
Publié: (2024)

Optimal rate-variance coding due to firing threshold adaptation near criticality
par: Girardi-Schappo, Mauricio, et autres
Publié: (2025)

Networks with many structural scales: a Renormalization Group perspective
par: Poggialini, Anna, et autres
Publié: (2024)

Multifractal organization of EEG signals in Multiple Sclerosis
par: Wątorek, Marcin, et autres
Publié: (2024)

Copy-Spread-Annihilate Dynamics in Degree-Assortative Networks
par: Hao, Yan, et autres
Publié: (2026)

Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs
par: Cafiso, Marco, et autres
Publié: (2024)

Associative Memory and Generative Diffusion in the Zero-noise Limit
par: Hess, Joshua, et autres
Publié: (2025)

Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures
par: Nguyên, Tâm Johan, et autres
Publié: (2025)

Dynamical Theory for Adaptive Systems
par: Pham, Tuan Minh, et autres
Publié: (2023)

Can Transfer Entropy Infer Information Flow in Neuronal Circuits for Cognitive Processing?
par: Tehrani-Saleh, Ali, et autres
Publié: (2019)

Cognition without neurons: modelling anticipation in a basal reservoir computer
par: Bruna, Polyphony, et autres
Publié: (2025)

Interdependent scaling exponents in the human brain
par: Castro, Daniel M., et autres
Publié: (2024)

Pulse shape and voltage-dependent synchronization in spiking neuron networks
par: Pietras, Bastian
Publié: (2023)

Searching for long time scales without fine tuning
par: Chen, Xiaowen, et autres
Publié: (2020)

Metacognitive particles, mental action and the sense of agency
par: Sandved-Smith, Lars, et autres
Publié: (2024)

Stochastic Models of Neuronal Growth
par: Staii, Cristian
Publié: (2022)

Minimal motifs for habituating systems
par: Smart, Matthew, et autres
Publié: (2024)

Towards a Bayesian mechanics of metacognitive particles: A commentary on "Path integrals, particular kinds, and strange things" by Friston, Da Costa, Sakthivadivel, Heins, Pavliotis, Ramstead, and Parr
par: Da Costa, Lancelot, et autres
Publié: (2023)

Inverted Inference and Recursive Bootstrapping: A Primal-Dual Theory of Structured Cognition
par: Li, Xin
Publié: (2024)

Reinforcement learning in densely recurrent biological networks
par: Churchland, Miles Walter, et autres
Publié: (2025)

Back to the Continuous Attractor
par: Ságodi, Ábel, et autres
Publié: (2024)

Memory as Structured Trajectories: Persistent Homology and Contextual Sheaves
par: Li, Xin
Publié: (2025)

Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent
par: Giannakakis, Emmanouil, et autres
Publié: (2024)

Bifurcations and Phase Transitions in the Origins of Life
par: Solé, Ricard, et autres
Publié: (2025)

Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP
par: Bergoin, Raphaël, et autres
Publié: (2024)

Bifurcation analysis of a two-neuron central pattern generator model for both oscillatory and convergent neuronal activities
par: Muramatsu, Kotaro, et autres
Publié: (2024)

Learning biological neuronal networks with artificial neural networks: neural oscillations
par: Zhang, Ruilin, et autres
Publié: (2022)

Exact low-dimensional description for fast neural oscillations with low firing rates
par: Clusella, Pau, et autres
Publié: (2022)

Complexity synchronization analysis of neurophysiological data: Theory and methods
par: Schizas, Ioannis, et autres
Publié: (2024)

AI-Driven Physics-Informed Bio-Silicon Intelligence System: Integrating Hybrid Systems, Biocomputing, Neural Networks, and Machine Learning, for Advanced Neurotechnology
par: Jorgsson, Vincent, et autres
Publié: (2024)

From empirical brain networks towards modeling music perception -- a perspective
par: Sawicki, Jakub
Publié: (2025)