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19962026
most citedGATE : a simulation toolkit for PET and SPECT

2.2k citations

Showing 2014 · q-bio.NCShow all

6 papers · 2 filters

q-bio.NC2014

Constructing precisely computing networks with biophysical spiking neurons

Michael A. Schwemmer, Adrienne L. Fairhall, Sophie Denéve +1

While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computatio…

q-bio.NC2014★ 85 cited

Dynamical criticality in the collective activity of a population of retinal neurons

Thierry Mora, Stéphane Deny, Olivier Marre

Recent experimental results based on multi-electrode and imaging techniques have reinvigorated the idea that large neural networks operate near a critical point, between order and…

q-bio.NC2014★ 12 cited

Parsimony, exhaustivity and balanced detection in neocortex

Alberto Romagnoni, Jérôme Ribot, Daniel Bennequin +1

One fascinating aspect of the brain is its ability to process information in a fast and reliable manner. The functional architecture is thought to play a central role in this task,…

q-bio.NC2014★ 74 cited

High accuracy decoding of dynamical motion from a large retinal population

Olivier Marre, Vicente Botella-Soler, Kristina D. Simmons +3

Motion tracking is a challenge the visual system has to solve by reading out the retinal population. Here we recorded a large population of ganglion cells in a dense patch of salam…

q-bio.NC2014★ 26 cited

Hierarchy of neural organization in the embryonic spinal cord: Granger-causality graph analysis of in vivo calcium imaging data

Fabrizio De Vico Fallani, Martina Corazzol, Jenna R. Sternberg +2

The recent development of genetically encoded calcium indicators enables monitoring in vivo the activity of neuronal populations. Most analysis of these calcium transients relies o…

q-bio.NC2014★ 393 cited

Graph analysis of functional brain networks: practical issues in translational neuroscience

Fabrizio De Vico Fallani, Jonas Richiardi, Mario Chavez +1

The brain can be regarded as a network: a connected system where nodes, or units, represent different specialized regions and links, or connections, represent communication pathway…