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- María J. Cáceres, José A. Carrillo, Benoit Perthame
- Journal of mathematical neuroscience
- 2011

Nonlinear Noisy Leaky Integrate and Fire (NNLIF) models for neurons networks can be written as Fokker-Planck-Kolmogorov equations on the probability density of neurons, the main parameters in the model being the connectivity of the network and the noise. We analyse several aspects of the NNLIF model: the number of steady states, a priori estimates, blow-up… (More)

- James E McJunkin, Emily C de los Reyes, +7 authors AV Thompson
- The New England journal of medicine
- 2001

BACKGROUND
La Crosse encephalitis is a mosquito-borne disease that can be mistaken for herpes simplex encephalitis. It has been reported in 28 states but may be underrecognized.
METHODS
We investigated the manifestations and clinical course of La Crosse encephalitis in 127 patients hospitalized from 1987 through 1996. The diagnosis was established by… (More)

- María J. Cáceres
- 2003

We study the asymptotic behavior of solutions of the initialboundary value problem, with periodic boundary conditions, for a fourth-order nonlinear degenerate diffusion equation with a logarithmic nonlinearity. For strictly positive and suitably small initial data we show that a positive solution exponentially approaches its mean as time tends to infinity.… (More)

- María J. Cáceres, Benoit Perthame
- Journal of theoretical biology
- 2014

The Network Noisy Leaky Integrate and Fire equation is among the simplest model allowing for a self-consistent description of neural networks and gives a rule to determine the probability to find a neuron at the potential v. However, its mathematical structure is still poorly understood and, concerning its solutions, very few results are available. In the… (More)

- Gene Cantwell, Bob Holzman, María J. Cáceres
- Critical care medicine
- 1990

- María J. Cáceres, José A. Carrillo, Louis Tao
- J. Comput. Physics
- 2011

To describe the collective behavior of large ensembles of neurons in neuronal network, a kinetic theory description was developed in [13, 12], where a macroscopic representation of the network dynamics was directly derived from the microscopic dynamics of individual neurons, which are modeled by conductance-based, linear, integrate-and-fire point neurons. A… (More)

- Naoufel Ben Abdallah, María J. Cáceres, José A. Carrillo, Francesco Vecil
- J. Comput. Physics
- 2009

We model a nanoMOSFET by a mesoscopic, time-dependent, coupled quantumclassical system based on a sub-band decomposition and a simple scattering operator. We first compute the sub-band decomposition and electrostatic force field described by a Schrödinger-Poisson coupled system solved by a Newton-Raphson iteration using the eigenvalue/eigenfunction… (More)

- María J. Cáceres, José A. Carrillo, Jean Dolbeault
- SIAM J. Math. Analysis
- 2002

We prove the nonlinear stability in L p , with 1 p 2, of particular steady solutions of the Vlasov-Poisson system for charged particles in the whole space IR 6. Our main tool is a functional associated to the relative entropy or Casimir-energy functional.

- CHARGED PARTICLES, María J. Cáceres
- 2002

We prove the nonlinear stability in Lp, with 1 ≤ p ≤ 2, of particular steady solutions of the Vlasov–Poisson system for charged particles in the whole space R6. Our main tool is a functional associated to the relative entropy or Casimir-energy functional.

The spike trains are the main components of the information processing in the brain. To model spike trains several point processes have been investigated in the literature. And more macroscopic approaches have also been studied, using partial differential equation models. The main aim of the present article is to build a bridge between several point… (More)