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 174. It has an SJR impact factor of 1,544 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 1,544.

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

Type: Journal

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Languages: English

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Neural Computation


SJR Impact factor


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Aims and Scope

time, natural, full, ideal, images, independent, information, law, learning, mechanistic, model, discriminability, networkneural, networks, networksnonlinearities, observer, perception, phase, principal, projectionadaptive, color, accumulator, activities, adaptation, analysisemergence, analysisvisual, basis, bayesian, calculation, categorization, generation, comparison, curves, decomposition, due, dynamic, errors, feature,

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Kalman Filter Control Embedded into the Reinforcement Learning Framework

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Rule-Based Neural Networks for Classification and Probability Estimation

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

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Bayesian Radial Basis Functions of Variable Dimension

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

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Deep Belief Networks Are Compact Universal Approximators

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

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A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy

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Descartes' Rule of Signs for Radial Basis Function Neural Networks

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Kernel-Based Topographic Map Formation by Local Density Modeling

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

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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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Toward Optimally Distributed Computation

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The Computational Exploration of Visual Word Recognition in a Split Model

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

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

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Suprathreshold Intrinsic Dynamics of the Human Visual System

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

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

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Absence of Cycles in Symmetric Neural Networks

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

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

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