Signal denoising through topographic modularity of neural circuits
Information from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus features, providing a robust and efficient encoding strategy. Beyond sensory encoding, this prominent anatomical feature extends throughout the neocortex. However, th...
Main Authors: | Barna Zajzon, David Dahmen, Abigail Morrison, Renato Duarte |
---|---|
Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2023-01-01
|
Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/77009 |
Similar Items
-
Passing the Message: Representation Transfer in Modular Balanced Networks
by: Barna Zajzon, et al.
Published: (2019-12-01) -
Toward reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning
by: Barna Zajzon, et al.
Published: (2023-06-01) -
Pattern formation in neural circuits by the interaction of travelling waves with spike-timing dependent plasticity
by: Bennett, J
Published: (2014) -
Preeminently Robust Neural PPG Denoiser
by: Ju Hyeok Kwon, et al.
Published: (2022-03-01) -
A Neural Network-Assisted Denoiser for Sparse Signals With Low Rank Property of Transformed Hankel Matrices
by: Wanjei Cho, et al.
Published: (2024-01-01)