Louis Tao

Details der Publikationsliste

Zeitraum

1995 - 2006

Anzahl

11

Co-Autoren

Kinetic theory for neuronal network dynamics (2006)

Cai, David, Tao, Louis, Rangan, Aaditya V., McLaughlin, David W.

We present a detailed theoretical framework for statistical descriptions of neuronal networks and derive $(1+1)$-dimensional kinetic equations, without introducing any new parameters, directly from...

Photofluid Instabilities of Hot Stellar Envelopes (1998)

Spiegel, Edward A., Tao, Louis

Beginning from a relatively simple set of dynamical equations for a fluid permeated by a radiative field strong enough to produce significant forces, we find the structure of plane-parallel...

Lacunarity of Random Fractals (1997)

Solis, Francisco J., Tao, Louis

We discuss properties of random fractals by means of a set of numbers that characterize their universal properties. This set is the generalized singularity specturm that consists of the usual...

On the suppression of thermal conduction by magnetic fields /--by Louis Tao. (1995)

Tao, Louis.

Thesis (Ph. D.)--University of Chicago, Dept. of Physics, March 1995.

An egalitarian network model for the emergence of simple and complex cells in visual cortex

Tao, Louis, Shelley, Michael, McLaughlin, David, Shapley, Robert

We explain how simple and complex cells arise in a large-scale neuronal network model of the primary visual cortex of the macaque. Our model consists of ≈4,000 integrate-and-fire, conductance-based...

An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex

Cai, David, Tao, Louis, Shelley, Michael, McLaughlin, David W.

A coarse-grained representation of neuronal network dynamics is developed in terms of kinetic equations, which are derived by a moment closure, directly from the original large-scale...

An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information

Cai, David, Tao, Louis, McLaughlin, David W.

To address computational “scale-up” issues in modeling large regions of the cortex, many coarse-graining procedures have been invoked to obtain effective descriptions of neuronal network...

An egalitarian network model for the emergence of simple and complex cells in visual cortex

Tao, Louis, Shelley, Michael, McLaughlin, David, Shapley, Robert

We explain how simple and complex cells arise in a large-scale neuronal network model of the primary visual cortex of the macaque. Our model consists of ≈4,000 integrate-and-fire, conductance-based...

An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex

Cai, David, Tao, Louis, Shelley, Michael, McLaughlin, David W.

A coarse-grained representation of neuronal network dynamics is developed in terms of kinetic equations, which are derived by a moment closure, directly from the original large-scale...

An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information

Cai, David, Tao, Louis, McLaughlin, David W.

To address computational “scale-up” issues in modeling large regions of the cortex, many coarse-graining procedures have been invoked to obtain effective descriptions of neuronal network...

Orientation selectivity in visual cortex by fluctuation-controlled criticality

Tao, Louis, Cai, David, McLaughlin, David W., Shelley, Michael J., Shapley, Robert

Within a large-scale neuronal network model of macaque primary visual cortex, we examined how intrinsic dynamic fluctuations in synaptic currents modify the effect of strong recurrent excitation on...