<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Neurobot &#187; LFP</title>
	<atom:link href="http://neurobot.bio.auth.gr/tag/lfp/feed/" rel="self" type="application/rss+xml" />
	<link>http://neurobot.bio.auth.gr</link>
	<description>A computational neuroscience and neuroinformatics blog</description>
	<lastBuildDate>Mon, 16 Jan 2023 14:48:08 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.0.4</generator>
		<item>
		<title>A non-parametric prototyping scheme for LFP dynamics and its application to detect changes in spontaneous UP-states due to cortical maturation and aging</title>
		<link>http://neurobot.bio.auth.gr/2014/a-non-parametric-prototyping-scheme-for-lfp-dynamics-and-its-application-to-detect-changes-in-spontaneous-up-states-due-to-cortical-maturation-and-aging/</link>
		<comments>http://neurobot.bio.auth.gr/2014/a-non-parametric-prototyping-scheme-for-lfp-dynamics-and-its-application-to-detect-changes-in-spontaneous-up-states-due-to-cortical-maturation-and-aging/#comments</comments>
		<pubDate>Thu, 26 Jun 2014 22:42:39 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[LFP]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Statistical Analysis]]></category>
		<category><![CDATA[Trajectories]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3577</guid>
		<description><![CDATA[Spontaneous network activity in the form of Up and Down states plays an important role in the function of neural circuits and reflects intrinsic connectivity. Such cortical dynamics are shaped by genes, experience and intrinsic cellular properties and form the substrate upon which external stimuli and neuromodulation will impinge to determine cortical responses. The scope [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2014/a-non-parametric-prototyping-scheme-for-lfp-dynamics-and-its-application-to-detect-changes-in-spontaneous-up-states-due-to-cortical-maturation-and-aging/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Book chapter &#124; &#8216;Extracellular spikes and current-source density&#8217;</title>
		<link>http://neurobot.bio.auth.gr/2012/book-chapter-extracellular-spikes-and-current-source-density/</link>
		<comments>http://neurobot.bio.auth.gr/2012/book-chapter-extracellular-spikes-and-current-source-density/#comments</comments>
		<pubDate>Wed, 14 Mar 2012 15:51:37 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[LFP]]></category>
		<category><![CDATA[Modelling]]></category>
		<category><![CDATA[Neurophysiology]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3165</guid>
		<description><![CDATA[Preprint of the forthcoming book chapter &#8216;Extracellular spikes and current-source density&#8217; featuring the numerical framework biophysics for the calculation of extracellular potentials from transmembrane currents in multi-compartment neuron models, using the line-source method (Holt &#38; Koch, J Comp Neurosci 1999). The chapter is to appear on the forthcoming book: K.H. Pettersen, H. Linden, A.M. Dale and [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/book-chapter-extracellular-spikes-and-current-source-density/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>LFPy &#124; Extracellular field potential add-on for NEURON simulator</title>
		<link>http://neurobot.bio.auth.gr/2012/lfpy-extracellular-field-potential-add-on-for-neuron-simulator/</link>
		<comments>http://neurobot.bio.auth.gr/2012/lfpy-extracellular-field-potential-add-on-for-neuron-simulator/#comments</comments>
		<pubDate>Wed, 14 Mar 2012 15:41:49 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[LFP]]></category>
		<category><![CDATA[Modelling]]></category>
		<category><![CDATA[Neurophysiology]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3162</guid>
		<description><![CDATA[LFPy is a Python package for calculation of extracellular potentials from multicompartment neuron models. It relies on the NEURON simulator and uses the Python interface it provides. LFPy provides a set of easy-to-use Python classes for setting up your model, running your simulations and calculating the extracellular potentials arising from activity in your model neuron. If you have [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/lfpy-extracellular-field-potential-add-on-for-neuron-simulator/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>

<!-- Performance optimized by W3 Total Cache. Learn more: http://www.w3-edge.com/wordpress-plugins/

Minified using apc
Page Caching using apc
Database Caching using apc
Object Caching 282/303 objects using apc

Served from: neurobot.bio.auth.gr @ 2026-04-17 15:06:13 -->