Phase resetting in neurons is a behavior observed in different biological oscillators and plays a role in creating neural synchronization as well as different processes within the body. Phase resetting in neurons is when the dynamical behavior of an oscillation is shifted. This occurs when a stimulus perturbs the phase within an oscillatory cycle and a change in period occurs. The periods of these oscillations can vary depending on the biological system, with examples such as: (1) neural responses can change within a millisecond to quickly relay information; (2) In cardiac and respiratory changes that occur throughout the day, could be within seconds; (3) circadian rhythms may vary throughout a series of days; (4) rhythms such as hibernation may have periods that are measured in years.This activity pattern of neurons is a phenomenon seen in various neural circuits throughout the body and is seen in single neuron models and within clusters of neurons. Many of these models utilize phase response (resetting) curves where the oscillation of a neuron is perturbed and the effect the perturbation has on the phase cycle of a neuron is measured. (Wikipedia).
Stochastic Resetting - CEB T2 2017 - Evans - 2/3
Martin Evans (Edinburgh) - 10/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq
From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester
Stochastic Resetting - CEB T2 2017 - Evans - 3/3
Martin Evans (Edinburgh) - 12/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq
From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester
Stochastic Resetting - CEB T2 2017 - Evans - 1/3
Martin Evans (Edinburgh) - 09/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq
From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester
Electrical Engineering: Ch 19: Fourier Transform (13 of 45) Find Fourier Transformation: Ex. 4
Visit http://ilectureonline.com for more math and science lectures! In this video I will find find the Fourier transform of a single transient pulse input of amplitude=1 and width=0 to infinity into the frequency domain. Example 4. Next video in this series can be seen at: https://youtu.
From playlist ELECTRICAL ENGINEERING 18: THE FOURIER TRANSFORM
The Phase Shift of the Sine and Cosine Functions
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys The Phase Shift of the Sine and Cosine Functions
From playlist Trigonometry
Changing the beam direction in a phased array
This simulation of a phased array uses a similar set-up as in the video https://youtu.be/yS_0OVuigVE , but now the phase shift between the emitters changes in discrete steps, to show how this affects the direction of the emitted beams. Phased arrays are computer-controlled antennas, whose
From playlist Wave equation
Electrical Engineering: Ch 19: Fourier Transform (2 of 45) What is a Fourier Transform? Math Def
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the mathematical definition and equation of a Fourier transform. Next video in this series can be seen at: https://youtu.be/yl6RtWp7y4k
From playlist ELECTRICAL ENGINEERING 18: THE FOURIER TRANSFORM
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Noncausal filtering of stored data to obtain zero-phase response using the time-reversal property of the DFT, as implemented by the "filtfilt" comma
From playlist Introduction to Filter Design
Neural oscillations and networks - II by Bard Ermentrout
Dynamics of Complex Systems - 2017 DATES: 10 May 2017 to 08 July 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore This Summer Program on Dynamics of Complex Systems is second in the series. The theme for the program this year is Mathematical Biology. Over the past decades, the focus o
From playlist Dynamics of Complex Systems - 2017
Oscillatory networks and the Ott Antonsen theory by Bard Ermentrout
Dynamics of Complex Systems - 2017 DATES: 10 May 2017 to 08 July 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore This Summer Program on Dynamics of Complex Systems is second in the series. The theme for the program this year is Mathematical Biology. Over the past decades, the focus o
From playlist Dynamics of Complex Systems - 2017
Peter Tass - Using Maths and Physics to Treat Parkinson’s With a Vibrating Glove - IPAM at UCLA
Recorded 30 August 2022. Peter Tass of Stanford University presents "Using Maths and Physics to Treat Parkinson’s With a Vibrating Glove" at IPAM's Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond. Abstract: Abnormally strong neuronal synchronization is a
From playlist 2022 Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond
How un-syncing the brain can help Parkinson’s patients
Subscribe to Stanford Engineering's The Future of Everything podcast: https://the-future-of-everything-stanford-engineering.simplecast.com/ Abnormal levels of neuronal synchronicity is a hallmark of many neurological conditions. A Stanford professor discusses how to alleviate their sympto
From playlist The Future of Everything
Oscillatory networks - II by Bard Ermentrout
Dynamics of Complex Systems - 2017 DATES: 10 May 2017 to 08 July 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore This Summer Program on Dynamics of Complex Systems is second in the series. The theme for the program this year is Mathematical Biology. Over the past decades, the focus o
From playlist Dynamics of Complex Systems - 2017
Neural oscillations, weak coupling and networks by Bard Ermentrout
Dynamics of Complex Systems - 2017 DATES: 10 May 2017 to 08 July 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore This Summer Program on Dynamics of Complex Systems is second in the series. The theme for the program this year is Mathematical Biology. Over the past decades, the focus o
From playlist Dynamics of Complex Systems - 2017
Stationarity and effects of violations
In simplistic introductory tutorials on the Fourier transform, you see examples of perfectly stationary signals ("stationary" means the statistical properties such as mean, variance, etc., remain the same over time). But brain activity is far from stationary! In fact, it is fairly accurate
From playlist OLD ANTS #2) The discrete-time Fourier transform
MIT 7.013 Introductory Biology, Spring 2011 View the complete course: http://ocw.mit.edu/7-013S11 Instructor: Hazel Sive Professor Sive discusses the nervous system in more detail, focusing on pumps and channels, and synapses. License: Creative Commons BY-NC-SA More information at http:/
From playlist MIT 7.013 Introductory Biology, Spring 2011
Science & Technology Q&A for Kids (and others) [Part 31]
Stephen Wolfram hosts a live and unscripted Ask Me Anything about science and technology for all ages. Find the playlist of Q&A's here: https://wolfr.am/youtube-sw-qa Originally livestreamed at: https://twitch.tv/stephen_wolfram Outline of Q&A: 0:00 Stream starting 2:40 Stephen begins th
From playlist Stephen Wolfram Ask Me Anything About Science & Technology
Morgan André - Time averages of a metastable system of spiking neurons
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From playlist Workshop "Workshop on Mathematical Modeling and Statistical Analysis in Neuroscience" - January 31st - February 4th, 2022
A mathematical approach to some problems in neurobiology - Lai-Sang Young
Members’ Colloquium Topic: A mathematical approach to some problems in neurobiology Speaker: Lai-Sang Young Affiliation: New York University; Distinguished Visiting Professor, School of Mathematics Date: January 31, 2022 I will discuss some questions of interest in neuroscience, seen th
From playlist Mathematics
Intuition about phase synchronization
This video lesson is part of a complete course on neuroscience time series analyses. The full course includes - over 47 hours of video instruction - lots and lots of MATLAB exercises and problem sets - access to a dedicated Q&A forum. You can find out more here: https://www.udemy.
From playlist NEW ANTS #4) Synchronization