Hopfield and Brody model (Hopfield, Brody 2000) (NEURON+python)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:144549
Demonstration of Hopfield-Brody snychronization using artificial cells in NEURON+python.
References:
1 . Hopfield JJ, Brody CD (2001) What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. Proc Natl Acad Sci U S A 98:1282-7 [PubMed]
2 . Hopfield JJ, Brody CD (2000) What is a moment? "Cortical" sensory integration over a brief interval. Proc Natl Acad Sci U S A 97:13919-24 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; Python;
Model Concept(s): Pattern Recognition; Coincidence Detection; Temporal Pattern Generation; Synchronization; Attractor Neural Network;
Implementer(s): Lytton, William [bill.lytton at downstate.edu]; Neymotin, Sam [samn at neurosim.downstate.edu];
/
hoppy
readme.txt
invlfire.mod
misc.mod *
stats.mod
vecst.mod *
declist.hoc *
decmat.hoc *
decnqs.hoc *
decvec.hoc *
default.hoc *
drline.hoc *
grvec.hoc *
init.hoc
labels.hoc
local.hoc *
misc.h
mysetup.py
net.py
nqs.hoc *
nqs_utils.hoc *
nrnoc.hoc *
pyinit.py
simctrl.hoc *
syncode.hoc *
                            
: dm/dt = (minf - m)/tau
: input event adds w to m
: when m = 1, or event makes m >= 1 cell fires
: minf is calculated so that the natural interval between spikes is invl

NEURON {
	ARTIFICIAL_CELL IntervalFire
	RANGE tau, m, invl
	: m plays the role of voltage
}

PARAMETER {
	tau = 5 (ms)   <1e-9,1e9>
	invl = 10 (ms) <1e-9,1e9>
}

ASSIGNED {
	m
	minf
	t0(ms)
}

INITIAL {
	minf = 1/(1 - exp(-invl/tau)) : so natural spike interval is invl
	m = 0
	t0 = t
	net_send(firetime(), 1)
}

FUNCTION M() {
	M = minf + (m - minf)*exp(-(t - t0)/tau)
}

NET_RECEIVE (w) {
	m = M()
	t0 = t
	if (flag == 0) {
		m = m + w
		if (m > 1) {
			m = 0
			net_event(t)
		}
		net_move(t+firetime())
	}else{
		net_event(t)
		m = 0
		net_send(firetime(), 1)
	}
}

FUNCTION firetime()(ms) { : m < 1 and minf > 1
	firetime = tau*log((minf-m)/(minf - 1))
:	printf("firetime=%g\n", firetime)
}


Loading data, please wait...