Cultured cortical neurons can perform blind source separation according to the free-energy principle
Blind source separation is the computation underlying the cocktail party effect––a partygoer
can distinguish a particular talker's voice from the ambient noise. Early studies indicated that …
can distinguish a particular talker's voice from the ambient noise. Early studies indicated that …
Sound stream segregation: a neuromorphic approach to solve the “cocktail party problem” in real-time
The human auditory system has the ability to segregate complex auditory scenes into a
foreground component and a background, allowing us to listen to specific speech sounds …
foreground component and a background, allowing us to listen to specific speech sounds …
[PDF][PDF] Recurrent neural networks for blind separation of sources
In this paper, fully connected recurrent neural networks are investigated for blind separation
of sources. For these networks, a new class of unsupervised on-line learning algorithms are …
of sources. For these networks, a new class of unsupervised on-line learning algorithms are …
Biologically plausible single-layer networks for nonnegative independent component analysis
An important problem in neuroscience is to understand how brains extract relevant signals
from mixtures of unknown sources, ie, perform blind source separation. To model how the …
from mixtures of unknown sources, ie, perform blind source separation. To model how the …
Biologically-plausible determinant maximization neural networks for blind separation of correlated sources
B Bozkurt, C Pehlevan… - Advances in Neural …, 2022 - proceedings.neurips.cc
Extraction of latent sources of complex stimuli is critical for making sense of the world. While
the brain solves this blind source separation (BSS) problem continuously, its algorithms …
the brain solves this blind source separation (BSS) problem continuously, its algorithms …
Inferring mechanisms of auditory attentional modulation with deep neural networks
Humans have an exceptional ability to extract specific audio streams of interest in a noisy
environment; this is known as the cocktail party effect. It is widely accepted that this ability is …
environment; this is known as the cocktail party effect. It is widely accepted that this ability is …
Listening with your eyes
C Kayser - Scientific American Mind, 2007 - JSTOR
The abundance of stimuli typical of a state fair, however, does not lend itself to studying the
mind's fusion of the five senses: a process called sensory integration. Researchers tend to …
mind's fusion of the five senses: a process called sensory integration. Researchers tend to …
Blind nonnegative source separation using biological neural networks
Blind source separation—the extraction of independent sources from a mixture—is an
important problem for both artificial and natural signal processing. Here, we address a …
important problem for both artificial and natural signal processing. Here, we address a …
Sparse representations for the cocktail party problem
A striking feature of many sensory processing problems is that there appear to be many
more neurons engaged in the internal representations of the signal than in its transduction …
more neurons engaged in the internal representations of the signal than in its transduction …
Spiking neurons can learn to solve information bottleneck problems and extract independent components
S Klampfl, R Legenstein, W Maass - Neural computation, 2009 - ieeexplore.ieee.org
Independent component analysis (or blind source separation) is assumed to be an essential
component of sensory processing in the brain and could provide a less redundant …
component of sensory processing in the brain and could provide a less redundant …