about
Stochastic, adaptive sampling of information by microvilli in fly photoreceptorsHardware acceleration of processing of mass spectrometric data for proteomics.Model estimation of cerebral hemodynamics between blood flow and volume changes: a data-based modeling approach.A dynamic model of neurovascular coupling: implications for blood vessel dilation and constriction.Time-lapse analysis of human embryonic stem cells reveals multiple bottlenecks restricting colony formation and their relief upon culture adaptation.Modeling the evolution of culture-adapted human embryonic stem cells.A high-performance reconfigurable computing solution for Peptide mass fingerprinting.High-performance hardware implementation of a parallel database search engine for real-time peptide mass fingerprinting.Optimisation on the least squares identification of dynamical systems with application to hemodynamic modelling.Does calcium diffusional global feedback leads to slow light adaptation in Drosophila photoreceptors? - A 3D biophysical modelling approach.A novel recovery algorithm of time encoded signals.We now know what fly photoreceptors compute.Nonlinear system identification of receptive fields from spiking neuron data.An empirical model of Drosophila Photoreceptor-LMC network.A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons.Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages.Reduced-order modeling of light transport in tissue for real-time monitoring of brain hemodynamics using diffuse optical tomography.
P50
Q28728413-054EE8E5-2023-4009-B01D-0649872F944CQ31097598-27AA679B-527F-4271-8B0D-E4509CF75159Q33403454-E55EAB33-FCEF-4900-9C8A-7A7124DD8002Q33529960-F67D49D9-FD2B-4F6D-9580-B008D17497E9Q39203223-609BFE15-FFFC-4F9D-A29D-7F352BF016E1Q39786401-F51B6E5D-0359-43AF-A259-865C843FC469Q39912101-9BCBCBFA-D037-4D10-B445-5FA8DB29C147Q42794794-286E6638-9ED8-4387-89AE-3DA06AE3502DQ45783845-80CA348B-B275-4DFF-8F27-74163AC1EFE4Q46073724-EB884DCE-565A-4754-91E4-609B3552D431Q46141839-084F38C6-3FA6-4907-8B3B-EB0F93F7DCC5Q46142847-4194C225-D971-4478-8FC3-161D40CFD5B2Q46456872-7FE173A0-2780-4D13-A626-7101090C91A7Q46458512-6C1C360B-2907-43E6-BB04-BA72A14662B7Q47727707-B4E98C52-41DD-4BB9-A36A-316CA7FD6787Q48267007-A5091B24-6825-4DF1-A503-FEE07BEBDCCAQ51112085-4B0F2CAC-7E1B-47C1-9937-702D1AFDFF48
P50
description
investigador
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researcher
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wetenschapper
@nl
name
Daniel Coca
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Daniel Coca
@nl
type
label
Daniel Coca
@en
Daniel Coca
@nl
prefLabel
Daniel Coca
@en
Daniel Coca
@nl
P31
P496
0000-0003-2878-2422