Copertina

Programmable polyaniline nano neural network. A simple physical model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Langer, Jerzy J.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Disordered Systems and Neural Networks
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Programmable recirculating bricks mesh architecture for photonic neural networks
di: Gosciniak, Jacek
Pubblicazione: (2026)

Generalized hetero-associative neural networks
di: Agliari, Elena, et al.
Pubblicazione: (2024)

Statistical physics for artificial neural networks
di: Pei, Zongrui
Pubblicazione: (2025)

Critical feature learning in deep neural networks
di: Fischer, Kirsten, et al.
Pubblicazione: (2024)

Improving deep neural network performance through sampling
di: Ghantasala, Lakshmi A., et al.
Pubblicazione: (2025)

Partial annealing and pattern decorrelation in associative neural networks
di: Albanese, Linda, et al.
Pubblicazione: (2026)

Statistical physics of complex systems: glasses, spin glasses, continuous constraint satisfaction problems, high-dimensional inference and neural networks
di: Urbani, Pierfrancesco
Pubblicazione: (2024)

Arbitrage equilibrium and the emergence of universal microstructure in deep neural networks
di: Venkatasubramanian, Venkat, et al.
Pubblicazione: (2024)

Instant prediction of relaxation in moiré superlattices using neural networks
di: Belonovskii, Aleksei V., et al.
Pubblicazione: (2025)

Renormalization group for deep neural networks: Universality of learning and scaling laws
di: Coppola, Gorka Peraza, et al.
Pubblicazione: (2025)

Phase transitions from linear to nonlinear information processing in neural networks
di: Matsumura, Masaya, et al.
Pubblicazione: (2025)

Topological mechanical neural networks as classifiers through in situ backpropagation learning
di: Li, Shuaifeng, et al.
Pubblicazione: (2025)

Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model
di: Duranthon, O., et al.
Pubblicazione: (2025)

A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
di: Pacelli, R., et al.
Pubblicazione: (2022)

On the interpretability of neural network decoders
di: Bödeker, Lukas, et al.
Pubblicazione: (2025)

Hydrodynamic fields in fluctuating environment: a model for isochoric heat capacity of simple liquids
di: de Freitas, I. P., et al.
Pubblicazione: (2025)

Entropy production and irreversibility in the linearized stochastic Amari neural model
di: Lucente, Dario, et al.
Pubblicazione: (2025)

Machine learning of phases and structures for model systems in physics
di: Bayo, Djenabou, et al.
Pubblicazione: (2024)

Multifractality in critical neural field dynamics
di: Dumeur, Merlin, et al.
Pubblicazione: (2023)

Random walk models for the propagation of signalling molecules in one-dimensional spatial networks and their continuum limit
di: Mehrpooya, Adel, et al.
Pubblicazione: (2023)

Finite-time Lyapunov exponents of deep neural networks
di: Storm, L., et al.
Pubblicazione: (2023)

Quantum sequel of neural network training
di: Zhang, Hao, et al.
Pubblicazione: (2025)

Hidden self-duality and exact mobility edges in quasiperiodic network models
di: Hu, Hai-Tao, et al.
Pubblicazione: (2024)

Network-theory based modeling of avalanche dynamics in percolative tunnelling networks
di: Dey, Vivek, et al.
Pubblicazione: (2024)

Exact mobility edges in quasiperiodic network models with slowly varying potentials
di: Hu, Hai-Tao, et al.
Pubblicazione: (2025)

Optimizing p-spin models through hypergraph neural networks and deep reinforcement learning
di: Zeng, Li, et al.
Pubblicazione: (2026)

A robust balancing mechanism for spiking neural networks
di: Politi, Antonio, et al.
Pubblicazione: (2024)

A spectral approach to Hebbian-like neural networks
di: Agliari, Elena, et al.
Pubblicazione: (2024)

Solution of a large nonlinear recurrent neural network at fixed connectivity
di: Wakhloo, Albert J.
Pubblicazione: (2026)

General theory for extended-range percolation on simple and multiplex networks
di: Cirigliano, Lorenzo, et al.
Pubblicazione: (2024)

Explicit mutual information for simple networks and neurons with lognormal activities
di: Chwiłka, Maurycy, et al.
Pubblicazione: (2023)

Heterogeneous mean-field analysis of the generalized Lotka-Volterra model on a network
di: Aguirre-López, Fabián
Pubblicazione: (2024)

Viscosity, breakdown of Stokes-Einstein relation and dynamical heterogeneity in supercooled liquid Ge$_2$Sb$_2$Te$_5$ from simulations with a neural network potential
di: Marcorini, Simone, et al.
Pubblicazione: (2025)

Unifying view of fermionic neural network quantum states: From neural network backflow to hidden fermion determinant states
di: Liu, Zejun, et al.
Pubblicazione: (2023)

Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model
di: Cybiński, Kacper, et al.
Pubblicazione: (2024)

The thermodynamic limit in mean field neural networks
di: Agliari, Elena, et al.
Pubblicazione: (2024)

High-dimensional learning of narrow neural networks
di: Cui, Hugo
Pubblicazione: (2024)

Solving Sudoku using oscillatory neural networks
di: Haverkort, Bram F., et al.
Pubblicazione: (2025)

Adiabatic transport of neural network quantum states
di: Medvidović, Matija, et al.
Pubblicazione: (2025)

Emergent weight morphologies in deep neural networks
di: de Jong, Pascal, et al.
Pubblicazione: (2025)