39:06Algorithmes temps-reel, intelligence artificielle pour optimisee le monitorage de l'anesthesie
A 39-minute video from David Holcman: “Algorithmes temps-reel, intelligence artificielle pour optimisee le monitorage de l'anesthesie”.
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39:06A 39-minute video from David Holcman: “Algorithmes temps-reel, intelligence artificielle pour optimisee le monitorage de l'anesthesie”.
13:11A 13-minute video from David Holcman: “Astrocytic Functional Connectivity Network Reconstruction: Background (Part I/III)D”.
14:21A 14-minute video from David Holcman: “Cartesian coordinates in the brain (Part I/IV) to guide neurons (morphogenetic gradients)”.
33:59A 34-minute video from David Holcman: “Class 1A: Computational Neuroscience and predictive medicine: algorithmic, real-time and simulations”.
18:29A 18-minute video from David Holcman: “Computational methods and diffusion theory in triangulation sensing”.
8:31A 9-minute video from David Holcman: “Data-convergence applied to Graph Reconstruction PartIII/III”.
37:27A 37-minute video from David Holcman: “Developing a deep learning approach coupled with spatial statistics to human brain cell development”.
11:06A 11-minute video from David Holcman: “High-throughput super-resolution single particle trajectory and ImageJ plugin”.
40:49A 41-minute video from David Holcman: “Lecture 10A: Spatial Statistics applied to cell biology and Development: introduction I/II”.
33:09A 33-minute video from David Holcman: “Lecture 10B: Spatial Statistics applied to cell biology: pathology, microglia, multiplexing”.
53:37A 54-minute video from David Holcman: “Lecture 2A: Formal Fokker-Planck Solution and Ornstein-Ulhenbeck processes Holcman class 2024”.
44:05A 44-minute video from David Holcman: “Lecture 2B: Formal Fokker-Planck Solution and Ornstein-Ulembeck processes. Holcman's class 2024”.
14:30Intro
A 14-minute video from David Holcman: “Lecture 3A: Extreme statistics in biology. Introduction”.
48:46A 49-minute video from David Holcman: “Lecture 3B: Computing the time of the fastest to reach a target”.
27:57A 28-minute video from David Holcman: “Lecture 4A: Modeling brain wiring and neuronal navigation”.
33:37A 34-minute video from David Holcman: “Lecture 4B: Neuronal navigation computation”.
9:05A 9-minute video from David Holcman: “Lecture 4C: Concept of hybrid simulations”.
21:00A 21-minute video from David Holcman: “Lecture 4D: Hybrid Stochastic-Analytic Algorithm to accelerate Brownian simulations”.
1:04:40A 65-minute video from David Holcman: “Lecture 5A: Mathematics of Triangulation sensing for identifying a gradient source”.
41:25A 41-minute video from David Holcman: “Lecture 5B: Signal processing and transient Fourrier Analysis”.
45:49A 46-minute video from David Holcman: “Lecture 6A: signal processing. Brief introduction to tracking oscillation and artifact removal”.
44:23A 44-minute video from David Holcman: “Lecture 6B Modeling Neuronal Network using synaptic property”.
1:00:58A 61-minute video from David Holcman: “Lecture 7: Modeling neuronal island, burst and mean field model of anesthesia”.
36:01A 36-minute video from David Holcman: “Lecture 8A: Modeling neuronal networks with synaptic short-term plasticity and AHP.”.
38:44A 39-minute video from David Holcman: “Lecture 8B: modeling neuronal network rhythmic activity with synaptic short-term plasticity”.
44:14A 44-minute video from David Holcman: “Lecture 9: Reconstructing and quantifying connectivities with Ca2+ time series: astrocytic network”.
21:28A 21-minute video from David Holcman: “Matched asymptotic expansions: application Laplace's equation”.
23:06A 23-minute video from David Holcman: “Morphogenetic gradient-PartIIb/IV-: principles of making boundaries:”.
24:48A 25-minute video from David Holcman: “Morphogenetic gradients: computational principles Part IIa/IV”.
14:55A 15-minute video from David Holcman: “Nanodomains in neuroscience: Calcium channel near vesicles at synapses: Part I”.
28:55A 29-minute video from David Holcman: “Neuronal nanodomains: pre- and postsynaptic transient nanodomains shapes neuronal communication”.
31:04A 31-minute video from David Holcman: “Predicting Algorithms, IA for controlling the depth of anesthesia”.
32:12A 32-minute video from David Holcman: “Predire le cerveau part I (French): anesthesie, EEG, monitorage”.
7:13A 7-minute video from David Holcman: “Predire le cerveau III: modelisation stochatique, statistique, Interpretation signal EEG: spindles”.
20:00A 20-minute video from David Holcman: “Predire le cerveau Part II: Vers un pilotage intelligent”.
20:40A 21-minute video from David Holcman: “Predire le cerveau V: Control temps reel du cerveau electrode implente: une technologie a venir”.