Nadasdy's Work Page
PROJECT:

REPEATING SPATIO-TEMPORAL PATTERNS OF NEURONAL ACTIVITY IN THE HIPPOCAMPUS DURING SLEEP.


DATA DESCRIPTION

8 neurons (putative: 7 pyramidal and 1 interneuron)
50 microsec sampling rate
mostly (SPW)


Monte Carlo Simulation of Pattern Detection



In the following simulations spikes were moved to a randomly selected different cell (channel). Complex spikes were treated as single events. Therefore, the entire complex burst was moved to the same channel. This way the complex spike integrity was preserved but the sequential relationship between single or complex spikes was eliminated. The synchronous and intermittent frequency modulation of the spiketrains was also preserved. The tolerance (dT) was varied between 5 msec to 30 msec (from 50 points to 300 points). Sequences were detected by the 'Sequence searching algorithm'. In the figures we compared the number of sequences and the number of repetition between the 20 randomized and the one original database.

parspace_seq_diff_dt.gif
Parameterspace: different dT tolerances
 #shuffl:no shuffl
#search:seq
#repeat:1-20
#ref: 6
#seq:2
#twin:4000
#toler: var
#outp: param_ch_sq_$k.dat

for k in 50 100 150 200 250 300
do

rm param_ch_sq_$k.dat

for i in `count 1 40`
do

echo $k $i
rm scroll.???
rm vectors.???
#echo $j >> shuffled_ch_sq_$k.dat
#sh seq_shuffl_nut.ksh 8000 230 $i 6 $k

ptrn_search_gold 8 junk.00B junk.00D junk.00F junk.0BA junk.00C junk.00E junk.00G junk.0AA junk 2 $i 6 4000 $k >> param_ch_sq_$k.dat

done
more CR >> param_ch_sq_$k.dat
done


param_ch_sq_50.gif

param_ch_sq_100.gif

param_ch_sq_150.gif

param_ch_sq_200.gif

param_ch_sq_250.gif

param_ch_sq_300.gif
shell for the re00.sm.gif">
param_ch_sq_300.gif shell for the real data:
#shuffl:no shuffl
#search:seq
#repeat:1-20
#ref: 6
#seq:2
#twin:4000
#toler: var
#outp: param_ch_sq_$k.dat

for k in 50 100 150 200 250 300
do
rm param_ch_sq_$k.dat
echo $j
for i in `count 1 20`
do
#echo $j $i
rm scroll.???
rm vectors.???
#echo $j >> shuffled_ch_sq_$k.dat
#sh seq_shuffl_nut.ksh 8000 230 $i 6 $k
ptrn_search_gold 8 junk.00B junk.00D junk.00F junk.0BA junk.00C junk.00E junk.00G junk.0AA junk 2 $i 6 4000 $k >> param_ch_sq_$k.dat
done
more CR >> param_ch_sq_$k.dat
done



Shell for the shuffled data:
#shuffl:ch
#search:seq
#repeat:1-20
#ref: 6
#seq:2
#twin:4000
#toler: var
#outp: shuffled_ch_sq_$k.dat
for k in 50 100 150 200 250 300
do
rm shuffled_ch_sq_$k.dat
for j in `count 1 20`
do
shuffling_chcpx 8 junk.00B junk.00D junk.00F junk.0BA junk.00C junk.00E junk.00G junk.0AA 140
echo $j
for i in `count 1 20`
do
#echo $j $i
rm scroll.???
rm vectors.???
#echo $j >> shuffled_ch_sq_$k.dat
#sh seq_shuffl_nut.ksh 8000 230 $i 6 $k
ptrn_search_gold 8 junk.00B.shf junk.00D.shf junk.00F.shf junk.0BA.shf junk.00C.shf junk.00E.shf junk.00G.shf junk.0AA.shf junk 2 $i 6 4000 $k >> shuffled_ch_sq_$k.dat
done
more CR >> shuffled_c00 $k >> shuffled_ch_sq_$k.dat
done
more CR >> shuffled_ch_sq_$k.dat
done
done

DATA DESCRIPTION

5 neurons (putative: 5 pyramidal cells)
100 microsec sampling rate
mostly (SPW and theta)
Datafile: j06-08

param_ch_sq_25_j0608.gif

param_ch_sq_50_j0608.gif
param100_ch_sq_50_j0608.gif

param_ch_sq_75_j0608.gif
param100_ch_sq_75_j0608.gif

param_ch_sq_100_j0608.gif
param100_ch_sq_100_j0608.gif

param_ch_sq_150_j0608.gif
param100_ch_sq_150_j0608.gif

param_ch_sq_200_j0608.gif
param100_ch_sq_200_j0608.gif


DATA DESCRIPTION

10 neurons (putative: 10 pyramidal cells)
50 microsec sampling rate
mostly (SPW and theta)
Datafile: k9-02

param_ch_sq_100_k9-02.gif


DATA DESCRIPTION

5 neurons (putative: 5 pyramidal cells)
50 microsec sampling rate
mostly (SPW and theta)
2 weel running cells
Datafile: k12-30

param_ch_sq_400_k12-30.gif
param_ch_sq_400_k12-30.eps



Animal: K19-18

7 pyramidal cells (clustr.0AC-clustr.0AK)
50 microsec sampling rate
Behav: wheel running (theta and non-theta)
Behav: some cells are wheel direction cells

param_ch_sq_200_k19-18.gif
param_ch_sq_200_k19-18.eps

Questions and comments: zoli@osiris.rutgers.edu

Back to the Index

/h3>