Connectionists: NEURAL COMPUTATION - October 1, 2021

[Terry Sejnowski]

Neural Computation - Volume 33, Number 10 - October 1, 2021

available online for download now:
http://www.mitpressjournals.org/toc/neco/33/10
http://cognet.mit.edu/content/neural-computation

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Articles

Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory
Recurrent Neural Networks for Sequence Representation
Alfred Rajakumar, John Rinzel, and Zhe Chen

Restricted Boltzmann Machines as Models of Interacting Variables
Nicola Bulso, Yasser Roudi

Letters

Tracking Fast and Slow Changes in Synaptic Weights From
Simultaneously Observed Pre- and Postsynaptic Spiking
Ganchao Wei, Ian Stevenson

Chance-Constrained Active Inference
Thijs van de Laar, Ismail Senoz, Ayça Özçelikkale, and Henk Wymeersch

Multibranch Formal Neuron: An Internally Nonlinear Learning Unit
Marifi Guler

Realising Active Inference in Variational Message Passing:
The Outcome-blind Certainty Seeker
Theophile Champion, Marek Grzes, and Howard Bowman

Integration of Leaky-Integrate-and-Fire Neurons in
Standard Machine Learning Architectures to Generate
Hybrid Networks: A Surrogate Gradient Approach
Richard Carl Gerum, Achim Schilling

Multilinear Common Component Analysis via Kronecker Product Representation
Kohei Yoshikawa, Shuichi Kawano

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