ISSN: 0899-7667

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Neural Computation Q1 Unclaimed

MIT Press Journals United States

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Neural Computation is a journal indexed in SJR in Arts and Humanities (miscellaneous) and Cognitive Neuroscience with an H index of 157. It has an SJR impact factor of 1,134 and it has a best quartile of Q1. It is published in English.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Arts and Humanities (miscellaneous) (Q1) Cognitive Neuroscience (Q2)

Price

- €

Gold OA

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Green OA

- €

Non OA

Metrics

1,134

SJR Impact factor

157

H Index

88

Total Docs (Last Year)

314

Total Docs (3 years)

3379

Total Refs

962

Total Cites (3 years)

135

Citable Docs (3 years)

8,51

Cites/Doc (2 years)

38,4

Ref/Doc

Aims and Scope

Other journals with similar parameters

Journal of Consumer Research Q1
Multivariate Behavioral Research Q1
Journal of Peasant Studies Q1
Behavior Research Methods Q1
Psychonomic Bulletin and Review Q1

Best articles

A Canonical Neural Circuit for Cortical Nonlinear Operations

A Complex-Valued RTRL Algorithm for Recurrent Neural Networks

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

A Global Optimum Approach for One-Layer Neural Networks

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

A Learning Theorem for Networks at Detailed Stochastic Equilibrium

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

A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy

A Potts Neuron Approach to Communication Routing

A Sparse Representation for Function Approximation

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

Absence of Cycles in Symmetric Neural Networks

SHOW MORE ARTICLES

Active Inference, Belief Propagation, and the Bethe Approximation

Adaptive Hybrid Learning for Neural Networks

Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway

Approximation Bounds for Some Sparse Kernel Regression Algorithms

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

Asymptotic Properties of the Fisher Kernel

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

Bayesian Radial Basis Functions of Variable Dimension

Biophysiologically Plausible Implementations of the Maximum Operation

Clustering Irregular Shapes Using High-Order Neurons

Computational Advantages of Reverberating Loops for Sensorimotor Learning

Computational Studies of Lateralization of Phoneme Sequence Generation

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