
Luis Carlos Garcia del MolinoNew York University | NYU · Center for Neural Science (CNS)
Luis Carlos Garcia del Molino
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16
Publications
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339
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Citations since 2017
Introduction
Luis Carlos Garcia del Molino currently works at the Capital Fund Management (Paris). Luis does research in Condensed Matter Physics, Biophysics and Applied Mathematics. Their most recent publication is 'The Multivariate Kyle model: More is different'.
Skills and Expertise
Additional affiliations
January 2012 - October 2015
Publications
Publications (16)
The neural circuit linking the basal ganglia, the cerebellum and the cortex through the thalamus plays an essential role in motor and cognitive functions. However, how such functions are realized by multiple
loop circuits with neurons of multiple types is still unknown. In order
to investigate the dynamic nature of the whole-brain network, we
built...
We reconsider the multivariate Kyle model in a risk-neutral setting with a single, perfectly informed rational insider and a rational competitive market maker, setting the price of $n$ correlated securities. We prove the unicity of a symmetric, positive definite solution for the impact matrix and provide insights on its interpretation. We explore i...
Pyramidal cells and interneurons expressing parvalbumin (PV), somatostatin (SST), and vasoactive intestinal peptide (VIP) show cell type-specific connectivity patterns leading to a canonical microcircuit across cortex. Experiments recording from this circuit often report counterintuitive and seemingly contradictory findings. For example, the respon...
The stereotyped features of neuronal circuits are those most likely to explain the remarkable capacity of the brain to process information and govern behaviors, yet it has not been possible to comprehensively quantify neuronal distributions across animals or genders due to the size and complexity of the mammalian brain. Here we apply our quantitati...
Using an extracellular medium with high potassium/low magnesium concentration with the addition of 4-AP we induced epileptiform activity in combined hippocampus/entorhinal cortex slices of the rat brain [1]. In this in vitro model of temporal lobe epilepsy, we observed the repeating sequences of interictal discharge (IID) regimes and seizure-like e...
Pyramidal cells and interneurons expressing parvalbumin, somatostatin, or vasoactive intestinal peptide show cell type-specific connectivity patterns leading to a canonical microcircuit across cortex. Dissecting the dynamics of this microcircuit is essential to our understanding of the mammalian cortex. However, experiments recording from this circ...
In the past 20 years, the study of real eigenvalues of non-symmetric real random matrices has seen important progress. Notwithstanding, central questions still remain open, such as the characterization of their asymptotic statistics and the universality thereof. In this letter we show that for a wide class of matrices, the number $k_n$ of real eige...
We consider the ensemble of Real Ginibre matrices with a positive fraction
$\alpha>0$ of real eigenvalues. We demonstrate a large deviations principle for
the joint eigenvalue density of such matrices and we introduce a two phase
log-gas whose stationary distribution coincides with the spectral measure of
the ensemble. Using these tools we provide...
We introduce and analyze $d$ dimensional Coulomb gases with random charge
distribution and general external confining potential. We show that these gases
satisfy a large deviations principle. The analysis of the minima of the rate
function (which is the leading term of the energy) reveals that at equilibrium,
the particle distribution is a generali...
In this Letter, we consider a model of dynamical agents coupled through a
random connectivity matrix, as introduced in [Sompolinsky et. al, 1988] in the
context of random neural networks. It is known that increasing the disorder
parameter induces a phase transition leading to chaotic dynamics. We observe
and investigate here a novel phenomenon in t...
Characterizing the influence of network properties on the global emerging behavior of interacting elements constitutes a central question in many areas, from physical to social sciences. In this article we study a primary model of disordered neuronal networks with excitatory-inhibitory structure and balance constraints. We show how the interplay be...
The zero-range process is a stochastic interacting particle system that
exhibits a condensation transition under certain conditions on the dynamics. It
has recently been found that a small perturbation of a generic class of jump
rates leads to a drastic change of the phase diagram and prevents condensation
in an extended parameter range. We complem...