Andrew Gordus: Untangling the web of behaviors used in spider orb-weaving

Mon, Dec 6, 2021, 12:30 pm
Location: 
Joseph Henry Room, Jadwin Hall
Speaker(s): 
Sponsor(s): 
CPBF an NSF PFC

Many innate behaviors are the result of multiple sensorimotor programs that are dynamically coordinated to produce higher-order behaviors such as courtship or architecture. Extended phenotypes such as architecture are especially useful for ethological study because the structure itself is a physical record of behavioral intent. A particularly elegant and easily quantifiable structure is the spider orb-web. The geometric symmetry and regularity of these webs have long generated interest in their behavioral origin. However, quantitative analyses of this behavior have been sparse due to the difficulty of recording web-making in real-time. To address this, we have developed a novel assay enabling real-time, high-resolution tracking of limb movements and web structure produced by the hackled orb-weaver Uloborus diversus. With a brain the size of a fly’s, the spider U. diversus offers a tractable organism for the study of complex behaviors. Using machine vision algorithms for limb tracking, and unsupervised behavioral clustering methods, we have developed an atlas of stereotyped movement motifs used in orb-web construction. The rules for how these motifs are coordinated change during different phases of web construction, and we find that we can predict web-building stages based on these rules alone. Thus, the physical structures of the web explicitly represent distinct phases of behavior. In addition to our behavioral efforts, we are also developing biological assays to investigate how this elegant behavior is encoded in the spider’s brain.

 

Andrew Gordus: Untangling the web of behaviors used in spider orb-weaving

Mon, Dec 6, 2021, 12:30 pm

Many innate behaviors are the result of multiple sensorimotor programs that are dynamically coordinated to produce higher-order behaviors such as...

Location: Joseph Henry Room, Jadwin Hall

Chris Wiggins, Just do the best you can: statistical physics approaches to reinforcement learning

Mon, Dec 13, 2021, 1:15 pm

The most celebrated corners of machine learning over the past decades are those successful at predicting - e.g., spam...

Location: Zoom

Madhav Mani: TBD

Mon, Jan 31, 2022, 12:30 pm
Location: Joseph Henry Room, Jadwin Hall

Zvonimir Dogic: TBD

Mon, Feb 7, 2022, 12:30 pm
Location: Joseph Henry Room

Naama Brenner: TBD

Mon, Mar 14, 2022, 12:30 pm

Na Ji: TBD

Mon, Mar 21, 2022, 12:30 pm
Location: Joseph Henry Room

Arnold Mathijssen: TBD

Mon, Mar 28, 2022, 12:30 pm
Location: Joseph Henry Room

Gijsje Koenderink: TBD

Mon, Apr 11, 2022, 12:30 pm
Location: Zoom