Biol Cybern (2009) 101:325–338
DOI 10.1007/s00422-009-0339-0
ORIGINAL PAPER
Inhibitory network of spiking neurons may express a sharp peak
of synchrony at low frequency band
Pierre Meyrand · Daniel Cattaert ·
Hubert Ostaszewski · Tiaza Bem
Received: 10 July 2009 / Accepted: 14 September 2009 / Published online: 28 October 2009
© Springer-Verlag 2009
Abstract Spike synchronization remains an important issue
in neuroscience, and inhibitory networks are the best
candidates to provide such synchrony. Increasing evidence
indicates that in many brain area inhibitory interneurons of
similar properties make reciprocal connections. We found
that a hybrid, as well as model network, consisting of two
reciprocally inhibitory spiking neurons may express a peak
of synchronization in a narrow range of low spiking frequen-
cies in addition to classically described plateau of synchrony
at a wide range of high frequencies. Occurrence of the low
frequency peak of synchrony requires a moderate-to-strong
inhibitory coupling and relatively fast synapses. This novel
possibility of synchronization in a narrow range of network
parameters may have an important implication in discrimi-
nation and encoding of signals of precise intensity, as well
as in altering network ability to process information.
Introduction
A lot of studies on the brain function have shown that syn-
chronization of spikes of individual neurons or synchroniza-
tion of average population activities may play an important
role in the operation of sensory, cognitive, or behavioral task
(Baker et al. 2003; Friedrich 2006; Friedrich et al. 2004;
Gray 1994; Riehle et al. 1997; Roy et al. 2007; Singer 1999).
P. Meyrand (B ) · D. Cattaert
Centre de Neurosciences Intégratives et Computationnelles,
Université Bordeaux 1 et Centre National de la Recherche
Scientifique Unité Mixte de Recherche 5228,
Avenue des Facultés, 33405 Talence cedex, France
e-mail: p.meyrand@cnic.u-bordeaux1.fr
H. Ostaszewski · T. Bem
Institute of Biocybernetics and Biomedical Engineering, Polish
Academy of Sciences, 4 Trojdena, 02-109 Warsaw, Poland
As indicated by many experimental and theoretical studies,
inhibitory interneuron networks seem to play an important
role in global oscillations found in such structure like hip-
pocampus, thalamus, or cortex (Galarreta and Hestrin 2002;
Hestrin and Galarreta 2005; Markram et al. 2004; Merriam
et al. 2005; Tamas et al. 1998).
The mechanism providing synchronization through inhi-
bition has been understood using reduced models consist-
ing of two reciprocally inhibitory cells in a weak (Lewis
and Rinzel 2003; Van Vreeswijk et al. 1994) as well as
strong coupling regime (Chow 1998). For example, it has
been found that synchronization depends on cells’ firing
frequency as well as synapse kinetics (Chow et al. 1998;
Lewis and Rinzel 2003; White et al. 1998). Insights from
such simplified models have been thereafter extended into
understanding of more complex behavior of large scale net-
works (Traub et al. 1997; Whittington et al. 1995). Weak
coupling requires that to synchronize network activity, the
kinetics of synapses must be slow. However, such synchrony
can be very fragile to heterogeneity of neurons’ membrane
and/or synaptic properties (Chow et al. 1998; Skinner et al.
2005; White et al. 1998). In contrast, with stronger coupling,
synchronization can be reached even in a fairly heteroge-
neous network by using fast synapses with a delay (Bartos
et al. 2007) whereas slow synaptic kinetics results in de-syn-
chronization of network activity. Indeed, in heterogeneous
networks some neurons, of higher intrinsic frequency, sup-
press the activity of the others (Chow 1998; Chow et al.
1998; Skinner et al. 2005; White et al. 1998). Moreover, even
in homogenous networks with sufficiently strong and slow
inhibitory synapses, the stability of both the synchronous
and anti-synchronous states is broken leading to the sup-
pression state (Bressloff and Coombes 2000; Chow 1998).
Because anti-synchronous activity dominates in a regime
of weak coupling and low-to-moderate firing frequencies
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