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CogNet

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Gradual Domain Adaptation via Normalizing Flows

Shogo Sagawa; Hideitsu Hino

https://doi.org/10.1162/neco_a_01734

Improving Recall Accuracy in Sparse Associative Memories That Use Neurogenesis

Katy Warr; Jonathon Hare; David Thomas

https://doi.org/10.1162/neco_a_01732

Replay as a Basis for Backpropagation Through Time in the Brain

Huzi Cheng; Joshua W. Brown

https://doi.org/10.1162/neco_a_01735

Toward a Free-Response Paradigm of Decision-Making in Spiking Neural Networks

Zhichao Zhu; Yang Qi; Wenlian Lu; Zhigang Wang; Lu Cao; Jianfeng Feng

https://doi.org/10.1162/neco_a_01733

Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm

Brendan Lenfesty; Saugat Bhattacharyya; KongFatt Wong-Lin

https://doi.org/10.1162/neco_a_01736

Realizing Synthetic Active Inference Agents, Part II: Variational Message Updates

Thijs van de Laar; Magnus Koudahl; Bert de Vries

https://doi.org/10.1162/neco_a_01713

Computation With Sequences of Assemblies in a Model of the Brain

Max Dabagia; Christos H. Papadimitriou; Santosh S. Vempala

https://doi.org/10.1162/neco_a_01720

Relating Human Error–Based Learning to Modern Deep RL Algorithms

Michele Garibbo; Casimir J. H. Ludwig; Nathan F. Lepora; Laurence Aitchison

https://doi.org/10.1162/neco_a_01721

Bounded Rational Decision Networks With Belief Propagation

Gerrit Schmid; Sebastian Gottwald; Daniel A. Braun

https://doi.org/10.1162/neco_a_01719

Selective Inference for Change Point Detection by Recurrent Neural Network

Tomohiro Shiraishi; Daiki Miwa; Vo Nguyen Le Duy; Ichiro Takeuchi

https://doi.org/10.1162/neco_a_01724

Computing With Residue Numbers in High-Dimensional Representation

Christopher J. Kymn; Denis Kleyko; E. Paxon Frady; Connor Bybee; Pentti Kanerva; Friedrich T. Sommer; Bruno A. Olshausen

https://doi.org/10.1162/neco_a_01723

A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed Bandit

Shintaro Nakamura; Masashi Sugiyama

https://doi.org/10.1162/neco_a_01728

Learning in Associative Networks Through Pavlovian Dynamics

Daniele Lotito; Miriam Aquaro; Chiara Marullo

https://doi.org/10.1162/neco_a_01730

On the Compressive Power of Autoencoders With Linear and ReLU Activation Functions

Liangjie Sun; Chenyao Wu; Wai-Ki Ching; Tatsuya Akutsu

https://doi.org/10.1162/neco_a_01729

Sparse-Coding Variational Autoencoders

Victor Geadah; Gabriel Barello; Daniel Greenidge; Adam S. Charles; Jonathan W. Pillow

https://doi.org/10.1162/neco_a_01715

Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures

Devdhar Patel; Terrence Sejnowski; Hava Siegelmann

https://doi.org/10.1162/neco_a_01718

A Fast Algorithm for All-Pairs-Shortest-Paths Suitable for Neural Networks

Zeyu Jing; Markus Meister

https://doi.org/10.1162/neco_a_01716

Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation

Vasily Zadorozhnyy; Edison Mucllari; Cole Pospisil; Duc Nguyen; Qiang Ye

https://doi.org/10.1162/neco_a_01710

KLIF: An Optimized Spiking Neuron Unit for Tuning Surrogate Gradient Function

Chunming Jiang; Yilei Zhang

https://doi.org/10.1162/neco_a_01712

Fine Granularity Is Critical for Intelligent Neural Network Pruning

Alex Heyman; Joel Zylberberg

https://doi.org/10.1162/neco_a_01717

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CogNet

A product of The MIT Press

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