Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Interspike Intervals & Renewal Processes
Graph Chatbot
Related lectures (40)
Helping Humans: Neuroprosthetics
MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons
Explores the application of computational neuroscience in neuroprosthetics, focusing on predicting intended arm movements based on spike times and the importance of systematic parameter optimization.
Confidence Intervals: Student, Asymptotic Wald
Covers confidence intervals for Gaussian means, Student distribution, and Wald confidence intervals for maximum likelihood estimators.
Statistical Significance: Maximum Likelihood Estimation and Confidence Intervals
Explores type I and type II errors, critical values, and confidence intervals in statistical significance.
Estimation Methods in Probability and Statistics
Discusses estimation methods in probability and statistics, focusing on maximum likelihood estimation and confidence intervals.
Neuronal Dynamics: Random Networks
MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.
Likelihood of a spike train
MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons
Discusses the likelihood of spike trains based on generative models and log-likelihood calculations from observed data.
Normal Distribution: Properties and Calculations
Log in to Mediaspace to watch this video
Covers the normal distribution, including its properties and calculations.
Estimators and Confidence Intervals
Log in to Mediaspace to watch this video
Explores bias, variance, unbiased estimators, and confidence intervals in statistical estimation.
Probability Distributions in Environmental Studies
Log in to Mediaspace to watch this video
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.
Interval Estimation
Log in to Mediaspace to watch this video
Covers the construction of confidence intervals for a normal distribution with unknown mean and variance.
Bayes' Theorem: Defective Parts Detection
Log in to Mediaspace to watch this video
Explores Bayes' Theorem for defective parts detection, discrete random variables, and distribution functions, with practical examples and exercises.
Confidence Intervals and Hypothesis Testing
Log in to Mediaspace to watch this video
Explores confidence intervals, hypothesis testing, and decision-making using test statistics and p-values.
Gaussian Naive Bayes & K-NN
Log in to Mediaspace to watch this video
Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.
Optimal Betting Strategy
Log in to Mediaspace to watch this video
Explores the optimal betting strategy in a dynamic programming gambling problem, emphasizing risk preference impact.
Discrete-Time Markov Chains: Definitions
Log in to Mediaspace to watch this video
Covers the definitions and state probabilities of discrete-time Markov chains.
Neural System Organization
Log in to Mediaspace to watch this video
Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.
Probabilistic Information Retrieval
Log in to Mediaspace to watch this video
Covers probabilistic information retrieval, query likelihood models, language modeling, and relevance feedback algorithms.
Graph Coloring and Directed Cycles
Log in to Mediaspace to watch this video
Explores graph coloring, directed cycles, LLL algorithm applications, and element dependencies in graphs.
Geometric Properties of Ellipses and Their Applications
Log in to Mediaspace to watch this video
Explores the geometric properties of ellipses, their parametric equations, and applications in architecture and design.
Monte Carlo Method: Thermal Radiation
Log in to Mediaspace to watch this video
Explores the Monte Carlo method for thermal radiation and radiative energy exchange.
Previous
Page 2 of 2
Next