Development of Input Connections in Neural Cultures

We introduce an approach for the quantitative assessment of the connectivity in neuronal cultures, based on the statistical mechanics of percolation on a graph. This allows us to monitor the development of the culture and to see the emergence of connectivity in the network. The culture becomes fully...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:	Proceedings of the National Academy of Sciences of the United States of America. - National Academy of Sciences of the United States of America. - 105(2008), 37, Seite 13758-13763
1. Verfasser:	Soriano, Jordi (VerfasserIn)
Weitere Verfasser:	Martínez, María Rodríguez, Tlusty, Tsvi, Moses, Elisha
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2008
Zugriff auf das übergeordnete Werk:	Proceedings of the National Academy of Sciences of the United States of America
Schlagworte:	Neural network Network connectivity Inhibition Graph theory Percolation Biological sciences Applied sciences Mathematics Physical sciences


LEADER	01000caa a22002652 4500
001	JST069648697
003	DE-627
005	20240622185704.0
007	cr uuu---uuuuu
008	150325s2008 xx \|\|\|\|\|o 00\| \|\|eng c
035			\|a (DE-627)JST069648697
035			\|a (JST)25464124
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	1		\|a Soriano, Jordi \|e verfasserin \|4 aut
245	1	0	\|a Development of Input Connections in Neural Cultures
264		1	\|c 2008
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a We introduce an approach for the quantitative assessment of the connectivity in neuronal cultures, based on the statistical mechanics of percolation on a graph. This allows us to monitor the development of the culture and to see the emergence of connectivity in the network. The culture becomes fully connected at a time equivalent to the expected time of birth. The spontaneous bursting activity that characterizes cultures develops in parallel with the connectivity. The average number of inputs per neuron can be quantitatively determined in units of m₀, the number of activated inputs needed to excite the neuron. For m₀ ≃ 15 we find that hippocampal neurons have on average ≈60-120 inputs, whereas cortical neurons have ≈75-150, depending on neuronal density. The ratio of excitatory to inhibitory neurons is determined by using the ${\rm GABA}_{{\rm A}}$ antagonist bicuculine. This ratio changes during development and reaches the final value at day 7-8, coinciding with the expected time of the GABA switch. For hippocampal cultures the inhibitory cells comprise ≈30% of the neurons in the culture whereas for cortical cultures they are ≈20%. Such detailed global information on the connectivity of networks in neuronal cultures is at present inaccessible by any electrophysiological or other technique.
540			\|a Copyright 2008 The National Academy of Sciences of the United States of America
650		4	\|a Neural network
650		4	\|a Network connectivity
650		4	\|a Inhibition
650		4	\|a Graph theory
650		4	\|a Percolation
650		4	\|a Biological sciences \|x Biology \|x Cytology \|x Cell biology \|x Cells \|x Neurons
650		4	\|a Applied sciences \|x Engineering \|x Systems engineering \|x Systems design \|x Connectivity
650		4	\|a Mathematics \|x Mathematical values \|x Critical values \|x Critical points
650		4	\|a Biological sciences \|x Biology \|x Cytology \|x Cell biology \|x Cellular structures \|x Cell membranes \|x Cell membrane structures \|x Intercellular junctions \|x Synapses
650		4	\|a Biological sciences \|x Biology \|x Developmental biology
650		4	\|a Physical sciences \|x Physics \|x Fundamental forces \|x Electromagnetism \|x Electricity \|x Electric potential
650		4	\|a Biological sciences \|x Biology \|x Anatomy \|x Nervous system \|x Central nervous system \|x Brain
650		4	\|a Mathematics \|x Mathematical values \|x Critical values
650		4	\|a Biological sciences \|x Biology \|x Neuroscience
650		4	\|a Mathematics \|x Applied mathematics \|x Statistics \|x Applied statistics \|x Descriptive statistics \|x Statistical distributions \|x Power laws
650		4	\|a Biological sciences \|x Biology \|x Cytology \|x Cell biology \|x Cells \|x Neurons
650		4	\|a Applied sciences \|x Engineering \|x Systems engineering \|x Systems design \|x Connectivity
650		4	\|a Mathematics \|x Mathematical values \|x Critical values \|x Critical points
650		4	\|a Biological sciences \|x Biology \|x Cytology \|x Cell biology \|x Cellular structures \|x Cell membranes \|x Cell membrane structures \|x Intercellular junctions \|x Synapses
650		4	\|a Biological sciences \|x Biology \|x Developmental biology
650		4	\|a Physical sciences \|x Physics \|x Fundamental forces \|x Electromagnetism \|x Electricity \|x Electric potential
650		4	\|a Biological sciences \|x Biology \|x Anatomy \|x Nervous system \|x Central nervous system \|x Brain
650		4	\|a Mathematics \|x Mathematical values \|x Critical values
650		4	\|a Biological sciences \|x Biology \|x Neuroscience
650		4	\|a Mathematics \|x Applied mathematics \|x Statistics \|x Applied statistics \|x Descriptive statistics \|x Statistical distributions \|x Power laws
655		4	\|a research-article
700	1		\|a Martínez, María Rodríguez \|e verfasserin \|4 aut
700	1		\|a Tlusty, Tsvi \|e verfasserin \|4 aut
700	1		\|a Moses, Elisha \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Proceedings of the National Academy of Sciences of the United States of America \|d National Academy of Sciences of the United States of America \|g 105(2008), 37, Seite 13758-13763 \|w (DE-627)254235379 \|w (DE-600)1461794-8 \|x 10916490 \|7 nnns
773	1	8	\|g volume:105 \|g year:2008 \|g number:37 \|g pages:13758-13763
856	4	0	\|u https://www.jstor.org/stable/25464124 \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_JST
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_168
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_252
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_374
912			\|a GBV_ILN_381
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2018
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2360
912			\|a GBV_ILN_2943
912			\|a GBV_ILN_2946
912			\|a GBV_ILN_2949
912			\|a GBV_ILN_2951
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4346
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 105 \|j 2008 \|e 37 \|h 13758-13763