Yanyan Peng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yanyan Peng has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- He Qing-Zhi
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
1 shared publication - Jiangtao Wang
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
1 shared publication - Juncai Zhu
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
1 shared publication - Li Shi
School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
1 shared publication - Peng Wu
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
1 shared publication - Songwei Wang
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
1 shared publication
Latest Publications
- Open Access
Categorical Representation of Numerosity in the Pigeon Entopallium: Coding Format and Temporal Dynamics
Numerosity perception is an evolutionarily conserved ability observed across diverse taxa, from insects and fish to birds and primates. Unlike traditional visual categories, numerosity possesses an intrinsic metric structure, making it well suited for quantitatively investigating how categorical representations emerge along the visual hierarchy. While numerical representations are well characterized in high-level associative areas of non-human primates and avian species, neuronal processing of numerosity in upstream regions remains largely unexplored. To address this gap, we recorded single-unit activity in the pigeon entopallium during a delayed match-to-numerosity task. We found a subset of neurons that encoded numerosity independently of the non-numerical feature controlled in the corresponding recording session, exhibiting quasi-monotonic increasing (QMI) or decreasing (QMD) response profiles. Compared with QMI neurons, QMD neurons exhibited a markedly later coding window and stronger category discriminability. Moreover, in both neuronal populations, the normalized response functions and category discriminability were better described by compressed numerosity scales than by a linear scale, with the logarithmic scale showing a modest overall advantage. These findings help refine current theoretical frameworks for how numerosity information is extracted and represented along the avian visual processing hierarchy, providing a comparative basis for cross-species research.
Open AccessCategorical Representation of Numerosity in the Pigeon Entopallium: Coding Format and Temporal Dynamics
Numerosity perception is an evolutionarily conserved ability observed across diverse taxa, from insects and fish to birds and primates. Unlike traditional visual categories, numerosity possesses an intrinsic metric structure, making it well suited for quantitatively investigating how categorical representations emerge along the visual hierarchy. While numerical representations are well characterized in high-level associative areas of non-human primates and avian species, neuronal processing of numerosity in upstream regions remains largely unexplored. To address this gap, we recorded single-unit activity in the pigeon entopallium during a delayed match-to-numerosity task. We found a subset of neurons that encoded numerosity independently of the non-numerical feature controlled in the corresponding recording session, exhibiting quasi-monotonic increasing (QMI) or decreasing (QMD) response profiles. Compared with QMI neurons, QMD neurons exhibited a markedly later coding window and stronger category discriminability. Moreover, in both neuronal populations, the normalized response functions and category discriminability were better described by compressed numerosity scales than by a linear scale, with the logarithmic scale showing a modest overall advantage. These findings help refine current theoretical frameworks for how numerosity information is extracted and represented along the avian visual processing hierarchy, providing a comparative basis for cross-species research.