We develop a new hidden Markov model-based method to analyze C elegans locomotive behavior and use this method to quantitatively characterize behavioral states. In agreement with previous work, we find states corresponding to roaming, dwelling, and quiescence. However, we also find evidence for a continuum of intermediate states. We suggest that roaming, dwelling, and quiescence may best be thought of as extremes which, mixed in any proportion, define the locomotive repertoire of C elegans foraging and feeding behavior
Identifying the function of different locomotive genes in model organisms is crucial for genetics re...
How do we capture the breadth of behavior in animal movement, from rapid body twitches to aging? Usi...
From microorganisms to humans, animals behave by making complex changes in their shape and posture o...
We develop a new hidden Markov model-based method to analyze C elegans locomotive behavior and use t...
<div><p>We develop a new hidden Markov model-based method to analyze <i>C elegans</i> locomotive beh...
We develop a new hidden Markov model-based method to analyze C elegans locomotive behavior and use t...
This electronic version was submitted by the student author. The certified thesis is available in th...
In the present thesis, we apply computational methods to the study of animal behaviour. Specifically...
In the present thesis, we apply computational methods to the study of animal behaviour. Specifically...
Behavioral phenotyping of model organisms has played an important role in unravelling the complexiti...
Most animals display multiple behavioral states and control the time allocation to each of their act...
Animal behaviour is often quantified through subjective, incomplete variables that mask essential dy...
© 2020 Genetics Society of America. All rights reserved. Caenorhabditis elegans' behavioral states, ...
The nematode Caenorhabditis elegans explores the environment using a combination of different moveme...
Animal behavior is often quantified through subjective, incomplete variables that may mask essential...
Identifying the function of different locomotive genes in model organisms is crucial for genetics re...
How do we capture the breadth of behavior in animal movement, from rapid body twitches to aging? Usi...
From microorganisms to humans, animals behave by making complex changes in their shape and posture o...
We develop a new hidden Markov model-based method to analyze C elegans locomotive behavior and use t...
<div><p>We develop a new hidden Markov model-based method to analyze <i>C elegans</i> locomotive beh...
We develop a new hidden Markov model-based method to analyze C elegans locomotive behavior and use t...
This electronic version was submitted by the student author. The certified thesis is available in th...
In the present thesis, we apply computational methods to the study of animal behaviour. Specifically...
In the present thesis, we apply computational methods to the study of animal behaviour. Specifically...
Behavioral phenotyping of model organisms has played an important role in unravelling the complexiti...
Most animals display multiple behavioral states and control the time allocation to each of their act...
Animal behaviour is often quantified through subjective, incomplete variables that mask essential dy...
© 2020 Genetics Society of America. All rights reserved. Caenorhabditis elegans' behavioral states, ...
The nematode Caenorhabditis elegans explores the environment using a combination of different moveme...
Animal behavior is often quantified through subjective, incomplete variables that may mask essential...
Identifying the function of different locomotive genes in model organisms is crucial for genetics re...
How do we capture the breadth of behavior in animal movement, from rapid body twitches to aging? Usi...
From microorganisms to humans, animals behave by making complex changes in their shape and posture o...