Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)

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Accession:136095
"... We sought to measure how the activity of the network alters information flow from inputs to output patterns. Information handling by the network reflected the degree of internal connectivity. ... With greater connectivity strength, the recurrent network translated activity and information due to contribution of activity from intrinsic network dynamics. ... At still higher internal synaptic strength, the network corrupted the external information, producing a state where little external information came through. The association of increased information retrieved from the network with increased gamma power supports the notion of gamma oscillations playing a role in information processing."
Reference:
1 . Neymotin SA, Jacobs KM, Fenton AA, Lytton WW (2011) Synaptic information transfer in computer models of neocortical columns. J Comput Neurosci. 30(1):69-84 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex V1 pyramidal corticothalamic L6 cell; Neocortex V1 pyramidal intratelencephalic L2-5 cell; Neocortex V1 interneuron basket PV cell; Neocortex fast spiking (FS) interneuron; Neocortex spiny stellate cell; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron;
Channel(s): I Na,t; I A; I K;
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Information transfer;
Implementer(s): Lytton, William [billl at neurosim.downstate.edu]; Neymotin, Sam [samn at neurosim.downstate.edu];
Search NeuronDB for information about:  Neocortex V1 pyramidal corticothalamic L6 cell; Neocortex V1 pyramidal intratelencephalic L2-5 cell; Neocortex V1 interneuron basket PV cell; GabaA; AMPA; NMDA; I Na,t; I A; I K;
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ncdemo
readme.txt
A.mod
AMPA.mod *
AMPAr.mod
clampex.mod *
cp.mod *
cp2.mod *
field.mod
GABAa.mod
GABAar.mod
GABAb.mod
GABAbr.mod
H.mod
Iahp.mod *
Ican.mod *
IL.mod
IL3.mod *
infot.mod *
intf_.mod
intfsw.mod *
kdr2.mod *
kmbg.mod
misc.mod *
naf2.mod *
nap.mod *
NMDA.mod *
NMDAr.mod
nthh.mod *
ntIh.mod *
ntt.mod *
OFThpo.mod
OFThresh.mod
pregencv.mod
stats.mod
updown.mod *
vecst.mod
bg_cvode.inc
misc.h *
mosinit.hoc
netcon.inc *
netrand.inc
ofc.inc
                            
: $Id: ntt.mod,v 1.7 2003/12/11 00:37:51 billl Exp $
TITLE Low threshold calcium current
:
:   Ca++ current responsible for low threshold spikes (LTS)
:   RETICULAR THALAMUS
:   Differential equations 
:
:   Model of Huguenard & McCormick, J Neurophysiol 68: 1373-1383, 1992.
:   The kinetics is described by standard equations (NOT GHK)
:   using a m2h format, according to the voltage-clamp data
:   (whole cell patch clamp) of Huguenard & Prince, J Neurosci.
:   12: 3804-3817, 1992.
:
:    - Kinetics adapted to fit the T-channel of reticular neuron
:    - Q10 changed to 5 and 3
:    - Time constant tau_h fitted from experimental data
:    - shift parameter for screening charge
:
:   ACTIVATION FUNCTIONS FROM EXPERIMENTS (NO CORRECTION)
:
:   Reversal potential taken from Nernst Equation
:
:   Written by Alain Destexhe, Salk Institute, Sept 18, 1992
:

INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}

NEURON {
	SUFFIX it2
	USEION Ca READ Cai, Cao WRITE iCa VALENCE 2
	RANGE gcabar, g, shift1
	GLOBAL m_inf, tau_m, h_inf, tau_h, shift2, sm, sh, phi_m, phi_h, hx, mx,rat
}

UNITS {
	(molar) = (1/liter)
	(mV) =	(millivolt)
	(mA) =	(milliamp)
	(mM) =	(millimolar)

	FARADAY = (faraday) (coulomb)
	R = (k-mole) (joule/degC)
}

PARAMETER {
	v		(mV)
	celsius	= 36	(degC)
:	eCa	= 120	(mV)
	gcabar	= .024	(mho/cm2)
	shift1	= -1 	(mV)
        shift2  = -6    (mV) 
        sm      = 7.4
        sh      = 5.0
        hx      = 1.5
        mx      = 3.0
	Cai	= 5e-5 (mM)		: adjusted for eca=120 mV
	Cao	= 2	(mM)
	rat	= 1
}

STATE {
	m h
}

ASSIGNED {
	iCa	(mA/cm2)
	g       (mho/cm2)
	carev	(mV)
	m_inf
	tau_m	(ms)
	h_inf
	tau_h	(ms)
	phi_m
	phi_h
}

BREAKPOINT {
	SOLVE castate METHOD cnexp
	g = gcabar * m*m*h
	iCa = g * ghk(v, Cai, Cao)
}

DERIVATIVE castate {
	evaluate_fct(v)

	m' = (m_inf - m) / tau_m
	h' = (h_inf - h) / tau_h
}

UNITSOFF
INITIAL {
	VERBATIM
	Cai = _ion_Cai;
	Cao = _ion_Cao;
	ENDVERBATIM

:   Activation functions and kinetics were obtained from
:   Huguenard & Prince, and were at 23-25 deg.
:   Transformation to 36 deg assuming Q10 of 5 and 3 for m and h
:   (as in Coulter et al., J Physiol 414: 587, 1989)
:
	phi_m = mx ^ ((celsius-24)/10)
	phi_h = hx ^ ((celsius-24)/10)

	evaluate_fct(v)
	m = m_inf
	h = h_inf
}

PROCEDURE evaluate_fct(v(mV)) { 
:
:   Time constants were obtained from J. Huguenard
:

	m_inf = 1.0 / ( 1 + exp(-(v+shift1+50)/sm) )
	h_inf = 1.0 / ( 1 + exp((v+shift2+78)/sh) )

	tau_m = (2+1.0/(exp((v+shift1+35)/10)+exp(-(v+shift1+100)/15)))/ phi_m
	tau_h = (24.22+1.0/(exp((v+55.56)/3.24)+exp(-(v+383.56)/51.26)))/phi_h
}

FUNCTION ghk(v(mV), Ci(mM), Co(mM)) (.001 coul/cm3) {
	LOCAL z, eci, eco
	z = (1e-3)*2*FARADAY*v/(R*(celsius+273.15))
	eco = Co*efun(z)*rat
	eci = Ci*efun(-z)
	:high Cao charge moves inward
	:negative potential charge moves inward
	ghk = (.001)*2*FARADAY*(eci - eco)
}

FUNCTION efun(z) {
	if (fabs(z) < 1e-4) {
		efun = 1 - z/2
	}else{
		efun = z/(exp(z) - 1)
	}
}
UNITSON

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