Development of a model to study visual categorization learning in chickens (<i>Gallus gallus domesticus</i>)

Author:

Diffine E. A.1,Tiunova A. A.2,Anokhin K. V.12

Affiliation:

1. Lomonosov Moscow State University

2. Institute of Normal Physiology named after P.K. Anokhin

Abstract

Categorization is a cognitive process that enables individuals to recognize similar yet distinct stimuli as equivalent [1–3]. To categorize an object, agents must identify key features of the new object by applying what they have learned from previous interactions with objects in that category [4]. Thus, categorization eliminates the need for the agent to repeatedly investigate each new object, thereby significantly expanding its adaptive capabilities. However, the nervous mechanisms that regulate this process are still not well understood. The primary aim of the present study is to establish an experimental behavioral model that will facilitate the investigation of the neurobiological mechanisms underlying visual categorization learning. Chickens (Gallus gallus domesticus) were selected as a visual learning model. The study of categorization used the chickens’ innate tendency to peck at new small objects and remember their characteristics. For this purpose, a chick was placed in a cage that resembled a house cage with beads affixed to the floor. The “bead floor” consisted of more than 100 beads of different colors and food scattered throughout [5]. In the developed model, pecking solely on the beads was deemed inaccurate as opposed to pecking on the food. For training purposes, the chick was given 80 peckings and evaluated based on how many nibbles it used to create categories for “beads” vs. “food”. If the chick did not make at least 5 cues or was unable to make 80 cues within 10 minutes during the training session, it was excluded from the study. First, the study investigated the effect of simultaneously presenting two new categories of “food” and “beads” on chicks’ behavior. The group that formed both “beads” and “new food” categories made more errors during the learning period, but performed as well as the group that only formed the “bead” category during the subsequent test. The study analyzed whether chicks could categorize objects (beads) of different sizes into a unified group. The chicks were trained with a floor of small beads and later tested with a different floor of larger beads. Results revealed that the chicks did not transfer their categorization ability from small to large beads. In the opposite scenario, where the chicks were presented with large beads during their training, and then offered small beads during the test, they refrained from pecking the smaller ones. In the next stage, we examined how the object’s color affected the development of a novel category. The results showed that when the chicks were presented with the floor containing an additional color of beads, specifically yellow, they made the majority of errors while pecking the “new type of beads”. Then, the study evaluated whether the chicks could transition the classification of “beads” between color set № 1 (blue, pink, green, yellow, and black silver) and color set № 2 (light green, beige, blue, red, gold, and white), and vice versa. The findings indicate that the chickens do form the categories of “beads” in both versions of the task, and after training, do not peck at beads of the new color. Chickens are capable of categorizing “beads” and “food”, and can generalize within these categories. Thus, this experimental study established the formation of categories in chickens during fast learning. Future application of the model will enable the investigation of the underlying neurobiological mechanisms in categorization learning.

Publisher

ECO-Vector LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3