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Volume 33, Issue 3

March 2021

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ISSN 0899-7667

EISSN 1530-888X

In this Issue

Articles
Letters

Articles

From Biophysical to Integrate-and-Fire Modeling

Tomas Van Pottelbergh, Guillaume Drion, Rodolphe Sepulchre

Neural Computation (2021) 33 (3): 563–589.

Abstract

View articletitled, From Biophysical to Integrate-and-Fire Modeling

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Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction

Nicholas M. Boffi, Jean-Jacques E. Slotine

Neural Computation (2021) 33 (3): 590–673.

Abstract

View articletitled, Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction

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Letters

Active Inference: Demystified and Compared

Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston

Neural Computation (2021) 33 (3): 674–712.

Abstract

View articletitled, Active Inference: Demystified and Compared

Supplementary data

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Sophisticated Inference

Karl Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr

Neural Computation (2021) 33 (3): 713–763.

Abstract

View articletitled, Sophisticated Inference

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Statistical Analysis of Decoding Performances of Diverse Populations of Neurons

Kyle P. Wendling, Cheng Ly

Neural Computation (2021) 33 (3): 764–801.

Abstract

View articletitled, Statistical Analysis of Decoding Performances of Diverse Populations of Neurons

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Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection

William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina

Neural Computation (2021) 33 (3): 802–826.

Abstract

View articletitled, Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection

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Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework

Omri Barak, Sandro Romani

Neural Computation (2021) 33 (3): 827–852.

Abstract

View articletitled, Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework

Articles

From Biophysical to Integrate-and-Fire Modeling

Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction

Letters

Active Inference: Demystified and Compared

Sophisticated Inference

Statistical Analysis of Decoding Performances of Diverse Populations of Neurons

Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection

Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework

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Issues

Cover Image

Articles

From Biophysical to Integrate-and-Fire Modeling

Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction

Letters

Active Inference: Demystified and Compared

Sophisticated Inference

Statistical Analysis of Decoding Performances of Diverse Populations of Neurons

Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection

Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework

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