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Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks

open access: yesFrontiers in Computational Neuroscience, 2021
Reinforcement learning is a paradigm that can account for how organisms learn to adapt their behavior in complex environments with sparse rewards. To partition an environment into discrete states, implementations in spiking neuronal networks typically ...
Philipp Weidel   +4 more
doaj   +1 more source

Z-contraction condition involving simulation function in b-metric space under fixed points considerations [PDF]

open access: yesMathematica Moravica, 2021
The purpose of this paper is to prove a common fixed point theorems for two pairs of mappings under the generalized Z-contraction with respect to the concept of simulation function in b-metric space.
Hamaizia Taieb, Murthy P. P.
doaj   +1 more source

Rigorous Neural Network Simulations: A Model Substantiation Methodology for Increasing the Correctness of Simulation Results in the Absence of Experimental Validation Data

open access: yesFrontiers in Neuroinformatics, 2018
The reproduction and replication of scientific results is an indispensable aspect of good scientific practice, enabling previous studies to be built upon and increasing our level of confidence in them.
Guido Trensch   +6 more
doaj   +1 more source

Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data

open access: yesFrontiers in Neuroinformatics, 2018
Computational neuroscience relies on simulations of neural network models to bridge the gap between the theory of neural networks and the experimentally observed activity dynamics in the brain.
Robin Gutzen   +8 more
doaj   +1 more source

On Pata–Suzuki-Type Contractions

open access: yesMathematics, 2020
In this manuscript, we introduce two notions, Pata−Suzuki Z -contraction and Pata Z -contraction for the pair of self-mapping g , f in the context of metric spaces. For such types of contractions, both the existence and uniqueness
Erdal Karapınar, V. M. L. Hima Bindu
doaj   +1 more source

Some Results on S-Contractions of Type E

open access: yesMathematics, 2018
In this manuscript, we consider the compositions of simulation functions and E-contraction in the setting of a complete metric space. We investigate the existence and uniqueness of a fixed point for this composite form. We give some illustrative examples
Andreea Fulga, Erdal Karapınar
doaj   +1 more source

ĆIRIĆ-TYPE RESULTS IN QUASI-METRIC SPACES AND 𝐺-METRIC SPACES USING SIMULATION FUNCTION

open access: yesПроблемы анализа, 2022
In this paper, we establish existence of some common fixed-point theorems for admissible mappings via a simulation function along with 𝒞-class functions in quasi-metric spaces.
Sejal V. Puvar, R. G. Vyas
doaj   +1 more source

Recent Advances on the Results for Nonunique Fixed in Various Spaces

open access: yesAxioms, 2019
In this short survey, we aim to underline the importance of the non-unique fixed point results in various abstract spaces. We recall a brief background on the topic and we combine, collect and unify several existing non-unique fixed points in the ...
Erdal Karapınar
doaj   +1 more source

Some Common Fixed Point Results for 𝒵E−Contractions in Modular b−Metric Spaces

open access: yesTopological Algebra and its Applications, 2022
The primary purpose of this study is to demonstrate some common fixed point theorems for diverse E−contractions involving generalized Proinov-simulation functions in the setting of modular b−metric spaces.
Büyükkaya Abdurrahman   +1 more
doaj   +1 more source

On Modified Interpolative Almost EType Contraction in Partial Modular bMetric Spaces

open access: yesAxioms, 2023
The current study attempts to identify a new generalized metric space structure, referred to as partial modular b−metric, that extends both partial modular metric space via b−metric space and explains the topological aspects of the new space implementing
Dilek Kesik   +2 more
doaj   +1 more source

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