verified SJR 0,829 · Q1 • database Scopus / SJR & Web of Science indexed

United States · MIT Press Journals

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Neural Computation

Neural Computation is a journal indexed in SJR in Arts and Humanities (miscellaneous) and Cognitive Neuroscience with an H index of 183. It has an SJR impact factor of 0,829 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0,829.

Neural Computation focuses its scope in these topics and keywords: time, learning, adaptation, networks, observer, independent, discriminability, synchronization, subspacesrobust, shiftinvariant, ...

ISSN: 0899-7667

Editorial: MIT Press Journals

Category: Arts and Humanities (miscellaneous)

Indexation: verifiedScopus / SJR verifiedWeb of Science

Unclaimed profile — some fields may be incomplete.

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SJR Impact Factor trending_up

0,829 Q1

H-index 183

Tasa de Aceptación pie_chart

21% Selectiva

Fuente Acceptance_Rate

Tiempo a publicación hourglass_top

NPD

Campo Sin dato

Coste de Publicación (APC) payments

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Ruta Non-OA NPD

Metrics

Campos Scimago / CoP — sin series inventadas

Scopus / SJR Web of Science

SJR Impact

0,829

H-index

183

Docs (year)

Docs 3y

257

Total refs

4758

Cites 3y

806

Citable 3y

124

Cites/Doc 2y

2.51

Ref/Doc

55.98

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

Active Inference, Belief Propagation, and the Bethe Approximation

What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?

Computational Advantages of Reverberating Loops for Sensorimotor Learning

Clustering Irregular Shapes Using High-Order Neurons

Biophysiologically Plausible Implementations of the Maximum Operation

Bayesian Radial Basis Functions of Variable Dimension

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis

Asymptotic Properties of the Fisher Kernel

Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials

Approximation Bounds for Some Sparse Kernel Regression Algorithms

Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration

Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway

SHOW MORE ARTICLES

Adaptive Hybrid Learning for Neural Networks

A Canonical Neural Circuit for Cortical Nonlinear Operations

Absence of Cycles in Symmetric Neural Networks

A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency

A Sparse Representation for Function Approximation

A Potts Neuron Approach to Communication Routing

A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy

A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks

A Learning Theorem for Networks at Detailed Stochastic Equilibrium

A Learning Rule for Local Synaptic Interactions Between Excitation and Shunting Inhibition

A Global Optimum Approach for One-Layer Neural Networks

A Computationally Efficient Method for Incorporating Spike Waveform Information into Decoding Algorithms

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