71 citations · 219 across the 9 of their papers we have counts for
9 papers
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han, Erik De Schutter, Sungho Hong
Feedforward networks (FFN) are ubiquitous structures in neural systems and have been studied to understand mechanisms of reliable signal and information transmission. In many FFNs,…
Intrinsic gain modulation and adaptive neural coding
Sungho Hong, Brian N. Lundstrom, Adrienne Fairhall
In many cases, the computation of a neural system can be reduced to a receptive field, or a set of linear filters, and a thresholding function, or gain curve, which determines the…
Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space
Brian Nils Lundstrom, Sungho Hong, Matthew H. Higgs +1
Recent in vitro data show that neurons respond to input variance with varying sensitivities. Here, we demonstrate that Hodgkin-Huxley (HH) neurons can operate in two computational…
Single neuron computation: from dynamical system to feature detector
Sungho Hong, Blaise Aguera y Arcas, Adrienne L. Fairhall
White noise methods are a powerful tool for characterizing the computation performed by neural systems. These methods allow one to identify the feature or features that a neural sy…
On the Couplings of the Rho Meson in AdS/QCD
Sungho Hong, Sukjin Yoon, Matthew J. Strassler
We argue that in generic AdS/QCD models (confining gauge theories dual to string theory on a weakly-curved background), the couplings g_{rho HH} of any rho meson to any hadron H ar…
Adjoint Trapping: A New Phenomenon at Strong 't Hooft Coupling
Sungho Hong, Sukjin Yoon, Matthew J. Strassler
Adding matter of mass m, in the fundamental representation of SU(N), to N=4 supersymmetric Yang-Mills theory, we study ``generalized quarkonium'' containing a (s)quark, an anti(s)q…