Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatically classifying animal behavior

A technology of animals and sports, applied in image analysis, medical science, image enhancement, etc., can solve the problems of reducing the reliability and repeatability of the results, trivial and other problems

Active Publication Date: 2019-01-04
PRESIDENT & FELLOWS OF HARVARD COLLEGE
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Behavioral data from a single experiment can involve hundreds of mice, spanning hundreds of hours of video, requiring a team of observers, inevitably reducing the reliability and reproducibility of results
Furthermore, the question of what constitutes an "behavior of interest" is largely left to the human observer: while for a human observer it is not a particular behavior or set of behaviors (i.e. "rearing", "sniffing") ", "sniffing", "walking", "freezing", "eating", etc.) are trivial to assign to anthropomorphic names, but there are almost certainly mouse-generated , behavioral states associated with mice that violate simple human classification

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatically classifying animal behavior
  • Automatically classifying animal behavior
  • Automatically classifying animal behavior

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0230] Example 1: Behavioral Measurement: Innate Exploration

[0231] To address these possibilities, we first use AR-HMMs to define a baseline architecture of mouse exploratory behavior in the wild, and then explore how this behavioral template can be modified by different manipulations in the external world.

[0232] For the open field assay (OFA), mice were habituated as described above and then placed in the middle of an 18" diameter circular enclosure with 15" high walls (Plastics, Inc., USA), Then start 3D video recording. Animals were allowed to freely explore the enclosure during the 30 min experimental session. Mice whose behavior was assessed in square boxes were handled and measured in an equivalent manner to OFA, except in the odor box described below.

[0233] AR-HMM identified ~60 reliably used behavioral modules from the circular field dataset (51 modules explained 95% of the imaging frames and 65 modules explained 99% of the imaging frames, Fig. 5A, 5B), Thi...

example 2

[0239] Example 2. Behavioral Assay: Stimulus-Driven Innate Behavior - Response to Odor

[0240] Because mice exhibit the same underlying behavioral state (motor exploration) in both circles and squares, we can predict that changes in behavioral modules observed in this setting will be localized and limited in scope of. We therefore sought to explore how the underlying structure of behavior changes when mice are exposed to sensory memories (within an otherwise constant physical environment) that drive global changes in behavioral states that include novel and motivated actions Performance.

[0241] To assess innate behavioral responses to volatile odorants, we developed an odor delivery system that spatially separates odorants in specific quadrants of a square box. Each 12" x 12" box is constructed of 1 / 4" black frosted acrylic (Altech plastic) with a 3 / 4" hole formed in a cross shape at the bottom of the box and 1 / 16" thick glass Caps (Tru Vue). These holes are pierced by P...

example 3

[0247] Example 3. Influence of Genes and Neural Circuits on Modules

[0248] As noted above, the fine-timescale structure of behavior is selectively susceptible to changes in the physical or sensory environment that affect actions on a timescale of minutes. Furthermore, the AR-HMM comprehensively encapsulates the behavioral patterns exhibited by mice (within the constraints of our imaging). These observations suggest that AR-HMMs, which provide a systematic window into mouse behavior on the subsecond time scale, can both quantify overt behavioral phenotypes and reveal new or Subtle phenotypes in which these experimental manipulations affect behavior across a range of spatiotemporal scales.

[0249] To explore how changes in individual genes, which act on the timescale of mouse lifespan, affect rapid behavioral modules and shifts, we analyzed mouse mutants of the retinol-related orphan receptor 1β (Ror1β) gene. The phenotype was characterized and the gene is expressed in neur...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

Systems and methods are disclosed to objectively identify sub-second behavioral modules in the three-dimensional (3D) video data that represents the motion of a subject. Defining behavioral modules based upon structure in the 3D video data itself - rather than using a priori definitions for what should constitute a measurable unit of action - identifies a previously-unexplored sub-second regularity that defines a timescale upon which behavior is organized, yields important information about the components and structure of behavior, offers insight into the nature of behavioral change in the subject, and enables objective discovery of subtle alterations in patterned action. The systems and methods of the invention can be applied to drug or gene therapy classification, drug or gene therapy screening, disease study including early detection of the onset of a disease, toxicology research, side-effect study, learning and memory process study, anxiety study, and analysis in consumer behavior.

Description

[0001] Statement Regarding Federally Funded Research [0002] This invention was made with the following government support: (1) NIH Innovation Award No. DP20D007109 awarded by the Office of the Director of the National Institutes of Health (NIH); NIH Research Project Grant Program No. RO1DC011558 awarded by the National Institute of Disease Research (NIDCD). The government has certain rights in this invention. technical field [0003] The present invention relates to systems and methods for identifying and classifying animal behavior, human behavior, or other behavioral metrics. Background technique [0004] The following description includes information that may be helpful in understanding the invention. However, it is not an admission that any of the information presented herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art. [0005] Quantification of animal behavior is an essenti...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11G06T7/00G06T7/20
CPCA61B5/1116A61B5/1128A61B5/165G06T7/0012G06T7/215G06T7/251G06T7/254G06T7/66G06T2207/10016G06T2207/10021G06T2207/10028G06T2207/20032G06T2207/20064G06T2207/20076G06T2207/20081G06T2207/30241
Inventor 桑迪普·罗伯特·达塔马修·J·约翰逊
Owner PRESIDENT & FELLOWS OF HARVARD COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com