• Publications
  • Influence
FAK+ and PYK2/CAKβ, two related tyrosine kinases highly expressed in the central nervous system: similarities and differences in the expression pattern
TLDR
FAK+ and PYK2/CAKβ are differentially regulated during development yet they are both abundantly expressed in the adult brain, with distinctive but overlapping distributions.
The Homological Nature of Entropy
TLDR
It is proposed that entropy is a universal co-homological class in a theory associated to a family of observable quantities and aFamily of probability distributions, that gives rise to a new kind of topology for information processes, that accounts for the main information functions.
Animation of natural scene by virtual eye-movements evokes high precision and low noise in V1 neurons
TLDR
The view that the sparsening and the time precision of the neural code in V1 may depend primarily on three factors is supported: broadband input spectrum: the bandwidth must be rich enough for recruiting optimally the diversity of spatial and time constants during recurrent processing; a minimal level of power is needed below 10 Hz to reach consistently the spiking threshold, a situation rarely reached with visual dense noise.
Network-State Modulation of Power-Law Frequency-Scaling in Visual Cortical Neurons
TLDR
It is proposed that the scaling exponent could be used to read-out the “effective” connectivity responsible for the dynamical signature of the population signals measured at different integration levels, from Vm to LFP, EEG and fMRI.
French Roadmap for complex Systems 2008-2009
TLDR
The aim of this roadmap is to identify a set of wide thematic domains for complex systems research over the next five years, organized around a specific question or topic and proposes a relevant set of “grand challenges”, i.e., clearly identifiable problems whose solution would stimulate significant progress in both theoretical methods and experimental strategies.
Topological Information Data Analysis
TLDR
Methods that quantify the structure of statistical interactions within a given data set, and propose that higher-order statistical interactions and non-identically distributed variables are constitutive characteristics of biological systems that should be estimated in order to unravel their significant statistical structure and diversity are presented.
Natural computation, much ado about nothing
  • P. Baudot
  • Biology, Computer Science
  • 29 September 2006
TLDR
This model, based on a decomposition of entropy into microscopic ordered redundancy, is sufficient to account for some defining properties of living systems such as reliability, diversity/specialisation, and optimal or efficient coding.
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