288 pp. per issue
6 x 9, illustrated
2014 Impact factor:

Neural Computation


Terrence J. Sejnowski, Editor-in-Chief

Neural Computation disseminates important, multidisciplinary research in a field that attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators, among others.

Table of Contents

Vol. 33, Issue 10 - October 2021


Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation
pp. 2603-2645
Abstract | PDF (1.99 MB)
Restricted Boltzmann Machines as Models of Interacting Variables
pp. 2646-2681
Abstract | PDF (1.66 MB)
Tracking Fast and Slow Changes in Synaptic Weights From Simultaneously Observed Pre- and Postsynaptic Spiking
pp. 2682-2709
Abstract | PDF (1.21 MB)
Chance-Constrained Active Inference
pp. 2710-2735
Abstract | PDF (817.68 KB)
Multibranch Formal Neuron: An Internally Nonlinear Learning Unit
pp. 2736-2761
Abstract | PDF (4.01 MB)
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker
pp. 2762-2826
Abstract | PDF (1.23 MB)
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach
pp. 2827-2852
Abstract | PDF (3.21 MB)
Multilinear Common Component Analysis via Kronecker Product Representation
pp. 2853-2880
Abstract | PDF (1.04 MB)