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 169. It has an SJR impact factor of 1,235 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 1,235.

Neural Computation focuses its scope in these topics and keywords: time, natural, model, mechanistic, learning, law, information, independent, images, networkneural, ...

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

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

1,235

SJR Impact factor

169

H Index

78

Total Docs (Last Year)

304

Total Docs (3 years)

3149

Total Refs

1492

Total Cites (3 years)

103

Citable Docs (3 years)

3,47

Cites/Doc (2 years)

40,37

Ref/Doc

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Aims and Scope

Best articles by citations

A Sparse Representation for Function Approximation

Kalman Filter Control Embedded into the Reinforcement Learning Framework

Rule-Based Neural Networks for Classification and Probability Estimation

Minimal Model for Intracellular Calcium Oscillations and Electrical Bursting in Melanotrope Cells ofXenopus Laevis

Bayesian Radial Basis Functions of Variable Dimension

How to Generate Ordered Maps by Maximizing the Mutual Information between Input and Output Signals

Deep Belief Networks Are Compact Universal Approximators

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

A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy

Descartes' Rule of Signs for Radial Basis Function Neural Networks

Kernel-Based Topographic Map Formation by Local Density Modeling

How the Shape of Pre- and Postsynaptic Signals Can Influence STDP: A Biophysical Model

SHOW MORE ARTICLES

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

A Learning Theorem for Networks at Detailed Stochastic Equilibrium

Toward Optimally Distributed Computation

The Computational Exploration of Visual Word Recognition in a Split Model

Geometrical Computations Explain Projection Patterns of Long-Range Horizontal Connections in Visual Cortex

Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC

Suprathreshold Intrinsic Dynamics of the Human Visual System

On Unique Representations of Certain Dynamical Systems Produced by Continuous-Time Recurrent Neural Networks

Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn

Absence of Cycles in Symmetric Neural Networks

On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models

Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity

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