Coincidence detection in neurobiology

How do you detect a neutrino?

The elusive neutrino is the most difficult to detect of the particles of the standard model. However the story is more complex than that. When a neutrino actually interacts, it is easy to detect. However neutrinos interact only rarely. In this video, Fermilab’s Dr. Don Lincoln explains

From playlist Neutrinos

Introduction to Detection Theory (Hypothesis Testing)

http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Includes definitions of binary and m-ary tests, simple and composite hypotheses, decision regions, and test performance characterization: prob

From playlist Estimation and Detection Theory

Anomaly Detection : Time Series Talk

Detecting anomalies and adjusting for them in time series. Code used in this video: https://github.com/ritvikmath/Time-Series-Analysis/blob/master/Anomaly%20Detection.ipynb

From playlist Time Series Analysis

Lecture 15.6 — Anomaly Detection | Choosing What Features To Use — [ Andrew Ng ]

From playlist Machine Learning — Andrew Ng, Stanford University [FULL COURSE]

Can you identify this substance?

via YouTube Capture

From playlist Random

Teach Astronomy - Coincidences in Nature

http://www.teachastronomy.com/ Miss Marbles, Agatha Christie's fictional detective hero once said, "A coincidence is always worth noticing. You can always discard it later if it proves to be only a coincidence." What are we to make of the coincidences that exist in nature, by which we me

From playlist 29. Prospects of Nonhuman Intelligences

The Most Powerful Tool Based Entirely On Randomness

We see the effects of randomness all around us on a day to day basis. In this video we’ll be discussing a couple of different techniques that scientists use to understand randomness, as well as how we can harness its power. Basically, we'll study the mathematics of randomness. The branch

From playlist Classical Physics by Parth G

Detecting Neutrinos with the NOvA Detector

From playlist Detectors and Accelerators

15. Human Sexual Behavior I

May 5, 2010) Robert Sapolsky explores behavioral patterns of human reproduction. He focuses on proximal and distal motivations, orgasm and fertility facilitation, non-reproductive sex, hormonal and cerebral sexual functions, and the differences and similarities between humans and animals i

From playlist Lecture Collection | Human Behavioral Biology

Sugars: The Underappreciated Building Blocks of Life - L. Hsieh-Wilson - 5/29/2019

Earnest C. Watson Lecture by Professor Linda Hsieh-Wilson, "Sugars: The Underappreciated Building Blocks of Life" (NOTE: Some slide images in this video have been blurred to comply with copyright issues.) Sugars, also called glycans, are one of the four major classes of macromolecules th

From playlist Caltech Watson Lecture Series

Anomaly Detection for JavaScript Apps

Watch this video to learn about the anomaly detection tools which will enable you to monitor and detect abnormalities in your JavaScript apps. PUBLICATION PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com

From playlist JavaScript

Lec 27 | MIT 7.012 Introduction to Biology, Fall 2004

Nervous System 2 (Prof. Eric Lander) View the complete course: http://ocw.mit.edu/7-012F04 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 7.012 Introduction to Biology, Fall 2004

What does the eye tell the brain? From the Higgs boson to neural systems and retinal prosthesis

Talk given by Alan Litke of the University of California, Santa Cruz in the USA, at the CERN Opendays 2013. To view this talk alongside the slides shown see http://cds.cern.ch/record/1604818. Watch more Opendays videos via this playlist: http://www.youtube.com/playlist?list=PLAk-9e5KQYEp1K

From playlist 2013: Talks from CERN Opendays

Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA

Recorded 13 January 2023. Lisa Nickerson of Harvard Medical School presents "Addressing Confounds in Neuroimaging Machine Learning Predictions" at IPAM's Explainable AI for the Sciences: Towards Novel Insights Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/expl

From playlist 2023 Explainable AI for the Sciences: Towards Novel Insights

Deep Learning's Neurobiology Origins with Jon Krohn

Clip from the 2021 Holiday Data Book Party hosted by Kate Strachnyi (DATAcated) Ravit Jain (The Ravit Show).

From playlist Talks and Tutorials

Is PTSD A Memory Disorder?

Today I'm joined by Kati Morton to talk about PTSD! Although traditionally classified as an anxiety disorder, there is increasing evidence for PTSD being a memory disorder. If people with certain neurobiological factors are more predisposed to develop post traumatic stress disorder followi

From playlist Collaborations (two-way)

A conversation between Terry Sejnowski and Stephen Wolfram

Stephen Wolfram plays the role of Salonnière in this new, on-going series of intellectual explorations with special guests. Watch all of the conversations here: https://wolfr.am/youtube-sw-conversations

From playlist Conversations with Special Guests

Decoding Personal Relevance with Neuroscience

From the #mediaX2015 Conference “Writing the Code for Personal Relevance”; Allan Reiss, Howard C. Robbins Professor of Psychiatry and Behavioral Sciences and Professor of Radiology, Director, Center for Interdisciplinary Brain Sciences (CIBSR) at Stanford University, discusses being at a f

From playlist #mediaX2015: Writing the Code for Personal Relevance

(ML 19.2) Existence of Gaussian processes

Statement of the theorem on existence of Gaussian processes, and an explanation of what it is saying.

From playlist Machine Learning

Response to Matt Walsh: Cancel This

By now many have seen my video attempting to help people understand the difference between sex and gender in order to reduce tensions regarding trans issues. In it, I criticize the science-denying hateful rhetoric of people such as Matt Walsh, and lo and behold, Matt wasn't a fan of it. He

From playlist Debunks/Discussions/Debates