Novel and optimized mouse behavior enabled by fully autonomous HABITS: Home-cage Assisted Behavioral Innovation and Testing System DOI Open Access
Bowen Yu, Penghai Li,

Haoze Xu

и другие.

Опубликована: Фев. 14, 2025

Mice are among the most prevalent animal models used in neuroscience, benefiting from extensive physiological, imaging and genetic tools available to study their brain. However, development of novel optimized behavioral paradigms for mice has been laborious inconsistent, impeding investigation complex cognitions. Here, we present a home-cage assisted mouse innovation testing system (HABITS), enabling free-moving learn challenging cognitive behaviors without any human involvement. Supported by general programming framework, have not only replicated established current neuroscience research but also developed previously unexplored mice, resulting more than 300 demonstrated various cognition functions. Most significantly, HABITS incorporates machine-teaching algorithm, which comprehensively presentation stimuli modalities trials, leading efficient training higher-quality outcomes. To our knowledge, this is first instance where behavior systematically an algorithmic approach. Altogether, results open new avenue optimization, directly facilitates neural circuits cognitions with mice.

Язык: Английский

Novel and optimized mouse behavior enabled by fully autonomous HABITS: Home-cage Assisted Behavioral Innovation and Testing System DOI Open Access
Bowen Yu, Penghai Li,

Haoze Xu

и другие.

Опубликована: Фев. 14, 2025

Mice are among the most prevalent animal models used in neuroscience, benefiting from extensive physiological, imaging and genetic tools available to study their brain. However, development of novel optimized behavioral paradigms for mice has been laborious inconsistent, impeding investigation complex cognitions. Here, we present a home-cage assisted mouse innovation testing system (HABITS), enabling free-moving learn challenging cognitive behaviors without any human involvement. Supported by general programming framework, have not only replicated established current neuroscience research but also developed previously unexplored mice, resulting more than 300 demonstrated various cognition functions. Most significantly, HABITS incorporates machine-teaching algorithm, which comprehensively presentation stimuli modalities trials, leading efficient training higher-quality outcomes. To our knowledge, this is first instance where behavior systematically an algorithmic approach. Altogether, results open new avenue optimization, directly facilitates neural circuits cognitions with mice.

Язык: Английский

Процитировано

0
Novel and optimized mouse behavior enabled by fully autonomous HABITS: Home-cage Assisted Behavioral Innovation and Testing System DOI Open Access
Bowen Yu, Penghai Li,

Haoze Xu

и другие.

Опубликована: Фев. 14, 2025

Mice are among the most prevalent animal models used in neuroscience, benefiting from extensive physiological, imaging and genetic tools available to study their brain. However, development of novel optimized behavioral paradigms for mice has been laborious inconsistent, impeding investigation complex cognitions. Here, we present a home-cage assisted mouse innovation testing system (HABITS), enabling free-moving learn challenging cognitive behaviors without any human involvement. Supported by general programming framework, have not only replicated established current neuroscience research but also developed previously unexplored mice, resulting more than 300 demonstrated various cognition functions. Most significantly, HABITS incorporates machine-teaching algorithm, which comprehensively presentation stimuli modalities trials, leading efficient training higher-quality outcomes. To our knowledge, this is first instance where behavior systematically an algorithmic approach. Altogether, results open new avenue optimization, directly facilitates neural circuits cognitions with mice.

Язык: Английский

Процитировано

0