Default: Neural Computation

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: -

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Green OA

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Non OA

Metrics

Neural Computation

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


Best articles

A Canonical Neural Circuit for Cortical Nonlinear Operations

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A Complex-Valued RTRL Algorithm for Recurrent Neural Networks

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

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A Global Optimum Approach for One-Layer Neural Networks

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

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A Learning Theorem for Networks at Detailed Stochastic Equilibrium

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

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A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy

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A Potts Neuron Approach to Communication Routing

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A Sparse Representation for Function Approximation

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

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Absence of Cycles in Symmetric Neural Networks

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Active Inference, Belief Propagation, and the Bethe Approximation

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Adaptive Hybrid Learning for Neural Networks

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Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway

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Approximation Bounds for Some Sparse Kernel Regression Algorithms

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

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Asymptotic Properties of the Fisher Kernel

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

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Bayesian Radial Basis Functions of Variable Dimension

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Biophysiologically Plausible Implementations of the Maximum Operation

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Clustering Irregular Shapes Using High-Order Neurons

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Computational Advantages of Reverberating Loops for Sensorimotor Learning

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Computational Studies of Lateralization of Phoneme Sequence Generation

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