Dear Member,
We are very excited to announce that Dr Murty Dinavahi, MBBS, PhD will present on the topic- 'Slow and fast gamma oscillations in human EEG Beyond laboratory- Insights from Alzheimer's disease research' on 27th September 2020 at 6:30 pm IST/ 9 am EDT (Poster attached). You are cordially invited to attend the talk. Seats are limited, please join at least 10 minutes before the meeting. The Meet link to join the talk- https://meet.google.com/wwg-bmwj-jus
Regards,
Chief of Internal Affairs
Project Encephalon
We are very excited to announce that Dr Murty Dinavahi, MBBS, PhD will present on the topic- 'Slow and fast gamma oscillations in human EEG Beyond laboratory- Insights from Alzheimer's disease research' on 27th September 2020 at 6:30 pm IST/ 9 am EDT (Poster attached). You are cordially invited to attend the talk. Seats are limited, please join at least 10 minutes before the meeting. The Meet link to join the talk- https://meet.google.com/wwg-bmwj-jus
Regards,
Chief of Internal Affairs
Project Encephalon
Google
Real-time meetings by Google. Using your browser, share your video, desktop, and presentations with teammates and customers.
The log-dynamic brain: how
skewed distributions affect network
operations
György Buzsáki1,2 and Kenji Mizuseki1,3
Abstract | We often assume that the variables of functional and structural brain parameters — such as synaptic weights, the firing rates of individual neurons, the synchronous discharge of neural populations, the number of synaptic contacts between neurons and the size of dendritic boutons — have a bell-shaped distribution. However, at many physiological and anatomical levels in the brain, the distribution of numerous parameters is in fact strongly skewed with a heavy tail, suggesting that skewed (typically lognormal) distributions are fundamental to structural and functional brain organization. This insight not only has implications for how we should collect and analyse data, it may also help us to understand how the different levels of skewed distributions — from synapses to cognition — are related to each other.
http://www.buzsakilab.com/content/PDFs/Mizuseki2014.pdf
#Neuroscience
skewed distributions affect network
operations
György Buzsáki1,2 and Kenji Mizuseki1,3
Abstract | We often assume that the variables of functional and structural brain parameters — such as synaptic weights, the firing rates of individual neurons, the synchronous discharge of neural populations, the number of synaptic contacts between neurons and the size of dendritic boutons — have a bell-shaped distribution. However, at many physiological and anatomical levels in the brain, the distribution of numerous parameters is in fact strongly skewed with a heavy tail, suggesting that skewed (typically lognormal) distributions are fundamental to structural and functional brain organization. This insight not only has implications for how we should collect and analyse data, it may also help us to understand how the different levels of skewed distributions — from synapses to cognition — are related to each other.
http://www.buzsakilab.com/content/PDFs/Mizuseki2014.pdf
#Neuroscience
Forwarded from Complex Systems Studies
pypercolate
A scientific Python package for Monte Carlo simulation of percolation on graphs
https://pypercolate.readthedocs.io/en/stable/newman-ziff.html
A scientific Python package for Monte Carlo simulation of percolation on graphs
https://pypercolate.readthedocs.io/en/stable/newman-ziff.html
Coexistence of fast and slow gamma oscillations in one population of inhibitory spiking neurons
Oscillations are a hallmark of neural population activity in various brain regions with a spectrum covering a wide range of frequencies. Within this spectrum γ oscillations have received particular attention due to their ubiquitous nature and their correlation with higher brain functions. Recently, it has been reported that γ oscillations in the hippocampus of behaving rodents are segregated in two distinct frequency bands: slow and fast. These two γ rhythms correspond to different states of the network, but their origin has been not yet clarified. Here we show theoretically and numerically that a single inhibitory population can give rise to coexisting slow and fast γ rhythms corresponding to collective oscillations of a balanced spiking network. The slow and fast γ rhythms are generated via two different mechanisms: the fast one being driven by the coordinated tonic neural firing and the slow one by endogenous fluctuations due to irregular neural activity. We show that almost instantaneous stimulations can switch the collective γ oscillations from slow to fast and vice versa. Furthermore, to draw a connection with the experimental observations, we consider the modulation of the γ rhythms induced by a slower (θ) rhythm driving the network dynamics. In this context, depending on the strength of the forcing and the noise amplitude, we observe phase-amplitude and phase-phase coupling between the fast and slow γ oscillations and the θ forcing. Phase-phase coupling reveals on average different θ-phase preferences for the two coexisting γ rhythms joined to a wide cycle-to-cycle variability.
Link
#Neuroscience
Oscillations are a hallmark of neural population activity in various brain regions with a spectrum covering a wide range of frequencies. Within this spectrum γ oscillations have received particular attention due to their ubiquitous nature and their correlation with higher brain functions. Recently, it has been reported that γ oscillations in the hippocampus of behaving rodents are segregated in two distinct frequency bands: slow and fast. These two γ rhythms correspond to different states of the network, but their origin has been not yet clarified. Here we show theoretically and numerically that a single inhibitory population can give rise to coexisting slow and fast γ rhythms corresponding to collective oscillations of a balanced spiking network. The slow and fast γ rhythms are generated via two different mechanisms: the fast one being driven by the coordinated tonic neural firing and the slow one by endogenous fluctuations due to irregular neural activity. We show that almost instantaneous stimulations can switch the collective γ oscillations from slow to fast and vice versa. Furthermore, to draw a connection with the experimental observations, we consider the modulation of the γ rhythms induced by a slower (θ) rhythm driving the network dynamics. In this context, depending on the strength of the forcing and the noise amplitude, we observe phase-amplitude and phase-phase coupling between the fast and slow γ oscillations and the θ forcing. Phase-phase coupling reveals on average different θ-phase preferences for the two coexisting γ rhythms joined to a wide cycle-to-cycle variability.
Link
#Neuroscience
Chief of Internal Affairs
The duties that come under the purview of this post are -
To manage and monitor all internal activities being run as a part of Project Encephalon.
Bring innovative and inspired ideas to the table and implement them as well for the benefit of Project Encephalon, keeping in mind the ethos of the organisation.
Link: Project Encephalon
#Neuroscience #positions
Follow: @theTuringMachine
The duties that come under the purview of this post are -
To manage and monitor all internal activities being run as a part of Project Encephalon.
Bring innovative and inspired ideas to the table and implement them as well for the benefit of Project Encephalon, keeping in mind the ethos of the organisation.
Link: Project Encephalon
#Neuroscience #positions
Follow: @theTuringMachine
Google Docs
Chief of Internal Affairs
The duties that come under the purview of this post are -
To manage and monitor all internal activities being run as a part of Project Encephalon.
Bring innovative and inspired ideas to the table and implement them as well for the benefit of Project Encephalon…
To manage and monitor all internal activities being run as a part of Project Encephalon.
Bring innovative and inspired ideas to the table and implement them as well for the benefit of Project Encephalon…
Forwarded from Python4Finance
pyecon.pdf
2.8 MB
اسلایدهای درس «پایتون برای اقتصادسنجی در اقتصاد»
این اسلایدها مربوط به ارائه Fabian H. C. Raters در دانشگاه Goettingen است. مطالب به صورت خلاصه و مفید ارائه شده است. همچنین فایل های notebook و تمرین هایی برای خودآزمایی در سایت دوره موجود است.
اسلایدها در ضمیمه این پست قرار داده شده است.
سایت دوره
#اسلاید
#اقتصاد
#پایتون_مالی
@python4finance
این اسلایدها مربوط به ارائه Fabian H. C. Raters در دانشگاه Goettingen است. مطالب به صورت خلاصه و مفید ارائه شده است. همچنین فایل های notebook و تمرین هایی برای خودآزمایی در سایت دوره موجود است.
اسلایدها در ضمیمه این پست قرار داده شده است.
سایت دوره
#اسلاید
#اقتصاد
#پایتون_مالی
@python4finance
ADNI: Understanding Alzheimer’s disease through collaboration and data sharing
Of the many outstanding mysteries of neuroscience, the pathogenic origins of
Alzheimer’s disease (AD) remain one of the most perplexing neurological
puzzles. An estimated 5.7 million Americans are presently afflicted with the
disease, which gradually
Read More: [ Link ]
#articles
Follow: @theTuringMachine
Of the many outstanding mysteries of neuroscience, the pathogenic origins of
Alzheimer’s disease (AD) remain one of the most perplexing neurological
puzzles. An estimated 5.7 million Americans are presently afflicted with the
disease, which gradually
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.
“Synthesizing excitement: a new way your brain makes glutamate” by Samuel Rose
A recent report in Cell details a new way that the brain synthesizes
glutamate, originating from sun exposure, no less. The research raises the
question, do we really know how the brain makes one of
Read More: [ Link ]
#articles
Follow: @theTuringMachine
A recent report in Cell details a new way that the brain synthesizes
glutamate, originating from sun exposure, no less. The research raises the
question, do we really know how the brain makes one of
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.
Ayahuasca: Ritual psychedelic turns modern-day anti-depressant
For any of the 300 million individuals worldwide suffering from depression, a
fast-acting, effective treatment can mean the difference between life and
death. Yet despite the growing number of pharmaceutical agents advertising
relief from sadness,
Read More: [ Link ]
#articles
Follow: @theTuringMachine
For any of the 300 million individuals worldwide suffering from depression, a
fast-acting, effective treatment can mean the difference between life and
death. Yet despite the growing number of pharmaceutical agents advertising
relief from sadness,
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.
How the brain learns to read: development of the “word form area”
The ability to recognize, process and interpret written language is a uniquely
human skill that is acquired with remarkable ease at a young age. But as
anyone who has attempted to learn a new language
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The ability to recognize, process and interpret written language is a uniquely
human skill that is acquired with remarkable ease at a young age. But as
anyone who has attempted to learn a new language
Read More: [ Link ]
#articles
Follow: @theTuringMachine
The Official PLOS Blog
The Official PLOS Blog - The Official PLOS Blog covers PLOS initiatives that address our core principles.