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

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

pypercolate

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

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
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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