Angel Plastino

Orcid: 0000-0001-5848-0770

Affiliations:
  • National University La Plata, Exact Sciences Faculty, Argentina
  • University of Pretoria, Department of Physics, South Africa
  • Universidad de Granada, Institute Carlos I for Theoretical and Computational Physics (IC1), Spain


According to our database1, Angel Plastino authored at least 40 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Magic Numbers and Mixing Degree in Many-Fermion Systems.
Entropy, August, 2023

Quasi-Magical Fermion Numbers and Thermal Many-Body Dynamics.
Axioms, May, 2023

Brief Review on the Connection between the Micro-Canonical Ensemble and the Sq-Canonical Probability Distribution.
Entropy, April, 2023

Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Entropy Optimization, Generalized Logarithms, and Duality Relations.
Entropy, December, 2022

Features of Fermion Dynamics Revealed by SU2 Symmetry.
Symmetry, 2022

Energetic Cost of Statistical Order-Degree Change in a Fermions' Set.
Entropy, 2022

Associative Memory Networks with Multidimensional Neurons.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Nonlinear Fokker-Planck Equation for an Overdamped System with Drag Depending on Direction.
Symmetry, 2021

Information-Theoretic Features of Many Fermion Systems: An Exploration Based on Exactly Solvable Models.
Entropy, 2021

Structural Statistical Quantifiers and Thermal Features of Quantum Systems.
Entropy, 2021

Thermal-Statistical Odd-Even Fermions' Staggering Effect and the Order-Disorder Disjunction.
Entropy, 2021

Nonlinear Lagrangean Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Nonlinear Fokker-Planck Equation Approach to Systems of Interacting Particles: Thermostatistical Features Related to the Range of the Interactions.
Entropy, 2020

Nonlinear, Nonequilibrium Landscape Approach to Neural Network Dynamics.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Entropic Characterization of Quantum States with Maximal Evolution under Given Energy Constraints.
Entropy, 2019

Logical Structures Underlying Quantum Computing.
Entropy, 2019

A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Revisiting Entanglement within the Bohmian Approach to Quantum Mechanics.
Entropy, 2018

Neuronal Asymmetries and Fokker-Planck Dynamics.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Toffoli gate and quantum correlations: a geometrical approach.
Quantum Inf. Process., 2017

Nonlinear Wave Equations Related to Nonextensive Thermostatistics.
Entropy, 2017

q-Maximum Entropy Distributions and Memory Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Natural information measures for contextual probabilistic models.
Quantum Inf. Comput., 2016

Fisher Information Framework for Time Series Modeling.
CoRR, 2016

Asymmetries in Synaptic Connections and the Nonlinear Fokker-Planck Formalism.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2014
Hellmann-Feynman connection for the relative Fisher information.
CoRR, 2014

2013
Invertible mappings and the large deviation theory for the $q$-maximum entropy principle
CoRR, 2013

2012
Generalized Cramér-Rao relations for non-relativistic quantum systems.
Appl. Math. Lett., 2012

2011
Information Theory Consequences of the Scale-Invariance of Schröedinger's Equation.
Entropy, 2011

Deformed Statistics Free Energy Model for Source Separation using Unsupervised Learning
CoRR, 2011

Generalized Kullback-Leibler Divergence Minimization within a Scaled Bregman Framework
CoRR, 2011

Scaled Bregman divergences in a Tsallis scenario
CoRR, 2011

2010
Generalized Statistical Complexity Measure.
Int. J. Bifurc. Chaos, 2010

2009
Universal Forms for One-Dimensional Quantum Hamiltonians: A Comparison of the SUSY and the De La Peña Factorization Approaches.
Int. J. Math. Math. Sci., 2009

Landauer's Principle and Divergenceless Dynamical Systems.
Entropy, 2009

2008
Incremental Entropy Relation as an Alternative to MaxEnt.
Entropy, 2008

Deformed Generalization of the Semiclassical Entropy.
Entropy, 2008

2003
Classical Limit and Chaotic Regime in a Semi-Quantum Hamiltonian.
Int. J. Bifurc. Chaos, 2003


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