I organize the Bridging Brains and Bioacoustics seminar series: braincoustics.bsky.social // braincoustics.com
8/11
8/11
7/11
7/11
4/11
4/11
What's next? Disentangling how exactly they shape group dynamics, and how they are in turn shaped by variables like social context, temperature, and physiology. Stay tuned!
7/8
What's next? Disentangling how exactly they shape group dynamics, and how they are in turn shaped by variables like social context, temperature, and physiology. Stay tuned!
7/8
Takeaways:
1. Vocalization is associated with box entrances/exits
2. Vocalization during a meeting b/w 2 mice is on average positively correlated with duration of future meetings
6/8
Takeaways:
1. Vocalization is associated with box entrances/exits
2. Vocalization during a meeting b/w 2 mice is on average positively correlated with duration of future meetings
6/8
5/8
5/8
Takeaways:
1. Vocalization is seasonal: most in spring/summer when social groups are small
2. Wild mice use both audible squeaks & ultrasonic calls, often close together
4/8
Takeaways:
1. Vocalization is seasonal: most in spring/summer when social groups are small
2. Wild mice use both audible squeaks & ultrasonic calls, often close together
4/8
Takeaways:
1. Social groups are seasonal - larger and more stable in winter vs summer
2. Mice occupy larger territories in winter vs summer
3. Females are more central in social networks than males
3/8
Takeaways:
1. Social groups are seasonal - larger and more stable in winter vs summer
2. Mice occupy larger territories in winter vs summer
3. Females are more central in social networks than males
3/8
Check out the details here: doi.org/10.1186/s403...
2/8
Check out the details here: doi.org/10.1186/s403...
2/8
10 yrs of mouse social networks + 1.25 yrs of acoustic data ➡️ insight into vocalization & sociality in a wild population of your favorite lab model 🐁
paper: bit.ly/4n93yyD
data: bit.ly/4lfFBEk
code: bit.ly/4kNnMwx
#bioacoustics #neuroskyence
1/8
10 yrs of mouse social networks + 1.25 yrs of acoustic data ➡️ insight into vocalization & sociality in a wild population of your favorite lab model 🐁
paper: bit.ly/4n93yyD
data: bit.ly/4lfFBEk
code: bit.ly/4kNnMwx
#bioacoustics #neuroskyence
1/8
dfreq(sample1, f=f, ovlp=0, threshold=13, type="l", col="red", lwd=2, axes=FALSE, ylab="", xlab="")
This is what I get without vs. with these extra plot parameters:
dfreq(sample1, f=f, ovlp=0, threshold=13, type="l", col="red", lwd=2, axes=FALSE, ylab="", xlab="")
This is what I get without vs. with these extra plot parameters: