Summary: CNS*03 Aviel et al 17 October, 2003
Synfire Waves in Small Balanced Networks
, David Horn2
and Moshe Abeles1
Interdisciplinary Center for Neural Computation, Hebrew University, Jerusalem, Israel.
School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel.
To whom correspondence should be sent. email@example.com
We study the problem of mixing rate and temporal codes in the same population at the
same time. We use a balanced network, known to act well as a rate code model, and
embed in it synfire chain connectivity. The propagation of a synfire wave on top of
asynchronous background activity requires large networks. Here we show that this
can be achieved also in small networks provided one adds inhibitory (shadow) pools
to the excitatory ones. Correct adjustment of these pools is required to allow for
synfire wave propagation.