Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback
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Publication:5383804
DOI10.1162/NECO_a_00675zbMath1416.92005WikidataQ48523054 ScholiaQ48523054MaRDI QIDQ5383804
Publication date: 20 June 2019
Published in: Neural Computation (Search for Journal in Brave)
Feedback control (93B52) Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to biology (92-08)
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Cites Work
- Pattern formation, contrast control, and oscillations in the short term memory of shunting on-center off-surround networks
- Bifurcation analysis applied to a model of motion integration with a multistable stimulus
- Dynamics of two mutually coupled slow inhibitory neurons
- Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations
- Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex*
- Modeling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction
- Disambiguating Visual Motion Through Contextual Feedback Modulation
- A Canonical Neural Circuit for Cortical Nonlinear Operations
- Local/Global Analysis of the Stationary Solutions of Some Neural Field Equations
- Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex
- Dynamics of a recurrent network of spiking neurons before and following learning
- Pattern Formation in a Network of Excitatory and Inhibitory Cells with Adaptation
- A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue
- Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks
- Biophysiologically Plausible Implementations of the Maximum Operation
- Background Synaptic Activity as a Switch Between Dynamical States in a Network
- Neural Mechanisms for the Robust Representation of Junctions
- Computing and Stability in Cortical Networks
- Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization
- Analysis of the Stabilized Supralinear Network
- The Identity of Weak and Strong Extensions of Differential Operators
