Precise spatiotemporal patterns of neuronal network

lovethreewayΤεχνίτη Νοημοσύνη και Ρομποτική

20 Οκτ 2013 (πριν από 4 χρόνια και 2 μήνες)

392 εμφανίσεις

CNS member No:
S423400046A

Precise spatiotemporal patterns of neuronal network
activation during persistent reverberatory activity


Le
i Q
I

, Peng
-
Cheng Z
HOU

,

Pak
-
Ming L
AU
, Guo
-
Qiang B
I
*

Hefei National Laboratory for Physical Sciences at the Microscale, and School of
Life Science, University of Science and Technology of China, Hefei 230027, China



These authors contributed equally to this work.

*

Corresponding author

Email:

gqbi@ustc.e
du.cn


Abstract:

In Hebb’
s
theory
of the
cell assembly, short
-
term memory traces can be
stored in closed loop neuronal circuits in form of persistent reverberatory activity.
In previous studies, we have observed persistent network reverberation in cultured

hippocampal neu
rons (Lau and Bi, PNAS, 2005).
Here, we investigated the
spatiotemporal dynamics of such collective activity of neurons grown on
multi
-
electrode arrays (MEAs).
In this preparation, a reverberation episode
consisted of many distinct populati
on bursts defined as reverberation event, each
involved the spiking activity of many neurons within a time span of
tens of
m
illi
s
econds
.

Here, w
e

develop
ed

a robust method to define the similarity
between

two events and use it to find

conserved
patterns am
ong all events.
W
e found that
there exist
ed

conserved
spatiotemporal

patterns
with

high temporal precision in
cultured neuronal networks
.

Furthermore,

m
ultiple

patterns
could
co
-
exist

in the
same
network

during
spontaneous reverberation

and could

occur intermittently within
the same reverberation episode.

In
smaller network
s,

reverberation could only be
evoked by stimulating an input channel,
and
sometimes
only one
conserved

pattern
was
identified.
These

results suggest
ed

tha
t
p
recise
spatiotemporal dynamics in
neural circuits might allow for more efficient information coding in the brain.


Keywords:

Neural network, Cell assembly, multielectrode array, reverberation