On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures

Single Channel Source Separation with ICA-Based Time-Frequency Decomposition

(2020) Dariusz Mika et al.   SENSORS

Multi-context blind source separation by error-gated Hebbian rule

(2019) Takuya Isomura et al.   Scientific Reports

A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations

(2018) Johannes Leugering et al.   NEURAL COMPUTATION

Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component Analysis

(2018) Takuya Isomura et al.   Scientific Reports

In vitro neural networks minimise variational free energy

(2018) Takuya Isomura et al.   Scientific Reports

Blind Nonnegative Source Separation Using Biological Neural Networks

(2017) Cengiz Pehlevan et al.   NEURAL COMPUTATION

A Local Learning Rule for Independent Component Analysis

(2016) Takuya Isomura et al.   Scientific Reports

Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy Principle

(2015) Takuya Isomura et al.   PLoS Computational Biology

How Does the Brain Solve Visual Object Recognition?

(2012) James J. DiCarlo et al.   NEURON

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing

Beyond the edge of chaos: Amplification and temporal integration by recurrent networks in the chaotic regime

(2011) T. Toyoizumi et al.   PHYSICAL REVIEW E

On the Convergence of ICA Algorithms With Symmetric Orthogonalization

(2009) A.T. Erdogan   IEEE TRANSACTIONS ON SIGNAL PROCESSING

DEM: A variational treatment of dynamic systems

(2008) K.J. Friston et al.   NEUROIMAGE

A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data

(2008) Vince D. Calhoun et al.   NEUROIMAGE

Hierarchical Models in the Brain

(2008) Karl Friston   PLoS Computational Biology