Most animals inhabit environmentsin which resources are hetero-geneous and distributed in patches. A fundamental question in behavioral eco-logy is how an animal feeding on a particular food patch, and hence deplet-ing it, decides when it is optimal to leave the patch in search of a richer one. Optimal foraging has been extensively studied and modeled in animals not amenable to molecular and neuronal manipulation. Recently, however, we and others have begun to elucidate at a mechanistic level how food patch leaving decisions are made.1-3 We found that C. elegans leaves food with increasing probability as food patches become depleted. Therefore, despite its artificial laboratory environment, its behavior con-forms to the optimal foraging the...
SummaryWild isolates of Caenorhabditis elegans differ in their tendency to aggregate on food [1, 2]....
The ability to efficiently locate food is critical for survival. Thus, animals modify their foraging...
Abstract Rules of thumb are behavioral algorithms that approximate optimal behavior while lowering c...
Variation in food quality and abundance requires animals to decide whether to stay on a poor food pa...
Variation in food quality and abundance requires animals to decide whether to stay on a poor food pa...
Foraging animals have to locate food sources that are usually patchily distributed and subject to co...
Most animals display multiple behavioral states and control the time allocation to each of their act...
Foraging animals dynamically adjust their behavioral patterns over time to optimize feeding in their...
Foraging animals optimize feeding decisions by adjusting both common and rare behavioral patterns. H...
To accommodate complex and changing environmental conditions, animals have evolved mechanisms to mod...
Innate behaviours are flexible: they change rapidly in response to transient environmental condition...
Feeding behaviour is modulated by both environmental cues and internal physiological states. Appetit...
A central question in movement research is how animals use information and movement to promote encou...
Animals have evolved intricate search strategies to find new sources of food. Here, we analyze a com...
Feeding behaviour is modulated by both environmental cues and internal physiological states. Appetit...
SummaryWild isolates of Caenorhabditis elegans differ in their tendency to aggregate on food [1, 2]....
The ability to efficiently locate food is critical for survival. Thus, animals modify their foraging...
Abstract Rules of thumb are behavioral algorithms that approximate optimal behavior while lowering c...
Variation in food quality and abundance requires animals to decide whether to stay on a poor food pa...
Variation in food quality and abundance requires animals to decide whether to stay on a poor food pa...
Foraging animals have to locate food sources that are usually patchily distributed and subject to co...
Most animals display multiple behavioral states and control the time allocation to each of their act...
Foraging animals dynamically adjust their behavioral patterns over time to optimize feeding in their...
Foraging animals optimize feeding decisions by adjusting both common and rare behavioral patterns. H...
To accommodate complex and changing environmental conditions, animals have evolved mechanisms to mod...
Innate behaviours are flexible: they change rapidly in response to transient environmental condition...
Feeding behaviour is modulated by both environmental cues and internal physiological states. Appetit...
A central question in movement research is how animals use information and movement to promote encou...
Animals have evolved intricate search strategies to find new sources of food. Here, we analyze a com...
Feeding behaviour is modulated by both environmental cues and internal physiological states. Appetit...
SummaryWild isolates of Caenorhabditis elegans differ in their tendency to aggregate on food [1, 2]....
The ability to efficiently locate food is critical for survival. Thus, animals modify their foraging...
Abstract Rules of thumb are behavioral algorithms that approximate optimal behavior while lowering c...