Articles

Unsupervised learning of facial emotion decoding skills

in Cognitive Neuroscience

• Jan Oliver Huelle
• Benjamin Sack
• Katja Broer
• Irina Komlewa
• Silke Anders

Hebbian crosstalk prevents nonlinear unsupervised learning

• Kingsley J A Cox
• Paul Adams

Unsupervised Learning of Persistent and Sequential Activity

• Ulises Pereira
• Nicolas Brunel

Architectural planning robot driven by unsupervised learning for space optimization

• Zhe Zhang
• Yuchun Zheng

Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning

in Neuromorphic Engineering

• Erika Covi
• Stefano Brivio
• Alexander Serb
• Themis Prodromakis
• Marco Fanciulli
• Sabina Spiga

Evaluation of MRI Denoising Methods Using Unsupervised Learning

in Medicine and Public Health

• Marc Moreno López
• Joshua M. Frederick
• Jonathan Ventura

Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks

in Neuromorphic Engineering

• Yilong Guo
• Huaqiang Wu
• Bin Gao
• He Qian

Analysis of the impact of investor sentiment on stock price using the latent dirichlet allocation topic model

in Environmental Economics and Management

• Meilan Chen
• Zhiying Guo
• Kashif Abbass
• Wenfeng Huang

Phase synchrony facilitates binding and segmentation of natural images in a coupled neural oscillator network

• Holger Finger
• Peter König

Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks

• Philipp Weidel
• Renato Duarte
• Abigail Morrison

An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images

in Biosensors and Biomolecular Electronics

• Ningning Tang
• Qi Chen
• Yunyu Meng
• Daizai Lei
• Li Jiang
• Yikun Qin
• Xiaojia Huang
• Fen Tang
• Shanshan Huang
• Qianqian Lan

Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists

in Cognitive Science

• Alberto Testolin
• Ivilin Stoianov
• Michele De Filippo De Grazia
• Marco Zorzi

Unsupervised learning of reflexive and action-based affordances to model adaptive navigational behavior

• Daniel Weiller
• Leonhard Läer
• Andreas K Engel
• Peter Konig

Leveraging productivity indicators for anomaly detection in swine breeding herds with unsupervised learning

in Veterinary Epidemiology and Economics

• Mafalda Pedro Mil-Homens
• Chong Wang
• Giovani Trevisan
• Fernanda Dórea
• Daniel C. L. Linhares
• Derald Holtkamp
• Gustavo S. Silva

Learning Invariant Object and Spatial View Representations in the Brain Using Slow Unsupervised Learning

• Edmund T. Rolls

A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns

in Neuromorphic Engineering

• Xueyuan She
• Saurabh Dash
• Daehyun Kim
• Saibal Mukhopadhyay