Absolute spike response to odours for 254 LHNs

Source: R/frulhns-data.r

Each element of the list corresponds to a single neuron and contains an m x n numeric matrix of spike counts for m trials in response to n odours. The basic data block is defined by OdourResponseFromSpikes

See also

fixedUseful

Examples

# summary of number of spikes in 500 ms bin for each odour
summary(asr[[1]])
#>      blank        cVA          4ol         PAA         IAA         pro   
#>  Min.   :0   Min.   :24   Min.   :0   Min.   :0   Min.   :0   Min.   :0  
#>  1st Qu.:0   1st Qu.:26   1st Qu.:0   1st Qu.:0   1st Qu.:0   1st Qu.:0  
#>  Median :0   Median :30   Median :0   Median :0   Median :0   Median :0  
#>  Mean   :0   Mean   :28   Mean   :0   Mean   :0   Mean   :0   Mean   :0  
#>  3rd Qu.:0   3rd Qu.:30   3rd Qu.:0   3rd Qu.:0   3rd Qu.:0   3rd Qu.:0  
#>  Max.   :0   Max.   :30   Max.   :0   Max.   :0   Max.   :0   Max.   :0  
#>                                                               NA's   :4  
#>       far           vin           pac           aac           ger   
#>  Min.   : NA   Min.   : NA   Min.   : NA   Min.   : NA   Min.   :0  
#>  1st Qu.: NA   1st Qu.: NA   1st Qu.: NA   1st Qu.: NA   1st Qu.:0  
#>  Median : NA   Median : NA   Median : NA   Median : NA   Median :0  
#>  Mean   :NaN   Mean   :NaN   Mean   :NaN   Mean   :NaN   Mean   :0  
#>  3rd Qu.: NA   3rd Qu.: NA   3rd Qu.: NA   3rd Qu.: NA   3rd Qu.:0  
#>  Max.   : NA   Max.   : NA   Max.   : NA   Max.   : NA   Max.   :0  
#>  NA's   :7     NA's   :7     NA's   :7     NA's   :7     NA's   :4  
#>       lin         bty         hxe         ben         met         pra   
#>  Min.   :0   Min.   :0   Min.   :0   Min.   :0   Min.   :0   Min.   :0  
#>  1st Qu.:0   1st Qu.:0   1st Qu.:0   1st Qu.:0   1st Qu.:0   1st Qu.:0  
#>  Median :0   Median :0   Median :0   Median :0   Median :0   Median :0  
#>  Mean   :0   Mean   :0   Mean   :0   Mean   :0   Mean   :0   Mean   :0  
#>  3rd Qu.:0   3rd Qu.:0   3rd Qu.:0   3rd Qu.:0   3rd Qu.:0   3rd Qu.:0  
#>  Max.   :0   Max.   :0   Max.   :0   Max.   :0   Max.   :0   Max.   :0  
#>  NA's   :4   NA's   :4   NA's   :4   NA's   :4   NA's   :4   NA's   :4  
#>       hxa         ehb         eta         cit   
#>  Min.   :0   Min.   :0   Min.   :0   Min.   :0  
#>  1st Qu.:0   1st Qu.:0   1st Qu.:0   1st Qu.:0  
#>  Median :0   Median :0   Median :0   Median :0  
#>  Mean   :0   Mean   :0   Mean   :0   Mean   :0  
#>  3rd Qu.:0   3rd Qu.:0   3rd Qu.:0   3rd Qu.:0  
#>  Max.   :0   Max.   :0   Max.   :0   Max.   :0  
#>  NA's   :4   NA's   :4   NA's   :4   NA's   :4  
# 7 sweeps for some odours
nrow(asr[[1]])
#> [1] 7
# number of sweeps per odour
colSums(!is.na(asr[[1]]))
#> blank   cVA   4ol   PAA   IAA   pro   far   vin   pac   aac   ger   lin   bty 
#>     7     7     7     7     7     3     0     0     0     0     3     3     3 
#>   hxe   ben   met   pra   hxa   ehb   eta   cit 
#>     3     3     3     3     3     3     3     3 


stats::heatmap(asr[[1]][,1:5], Rowv = NA)