A Cognitive-Neurolinguistic Study of Kuṟiñcippāṭṭu

This paper examines Kuṟiñcippāṭṭu, one of the major poems of the Pattuppāṭṭu corpus traditionally attributed to Kapilar, through the interdisciplinary perspectives of Cognitive Linguistics, Neurolinguistics, Cognitive Poetics, and Neurocognitive Poetics. Rather than treating the poem merely as a repository of Sangam landscape imagery and love conventions, the study investigates how linguistic structures may organize perception, memory, emotion, embodiment, conceptual mapping, and aesthetic experience in the reader or listener. The study argues that the tiṇai system in Kuṟiñcippāṭṭu functions as a complex cognitive schema in which geographical environment, sensory imagery, human emotion, social action, and cultural knowledge are integrated into a unified conceptual structure. Mountain, flower, waterfall, animal, season, darkness, and movement do not operate simply as decorative descriptions. They activate interconnected mental representations through which love, anticipation, secrecy, anxiety, social regulation, and emotional transition become intelligible. Using conceptual metaphor theory, embodied cognition, schema theory, discourse processing, and neurocognitive poetics as interpretative frameworks, this paper proposes that Kuṟiñcippāṭṭu can be understood as a sophisticated form of cognitive-cultural communication. The poem demonstrates how poetic language recruits’ sensory simulation, associative memory, affective processing, and culturally shared conceptual frames. The article therefore proposes a Cognitive-Neurolinguistic model for the study of Classical Tamil literature.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22669961
Primary Topic
Language, Metaphor, and Cognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Cognitive-Neurolinguistic Study of Kuṟiñcippāṭṭu

S. Gothandaraman
Zenodo (CERN European Organization for Nuclear Research)
Language, Metaphor, and Cognition
article

A Cognitive-Neurolinguistic Study of Kuṟiñcippāṭṭu

S. Gothandaraman
article en

Abstract

This paper examines Kuṟiñcippāṭṭu, one of the major poems of the Pattuppāṭṭu corpus traditionally attributed to Kapilar, through the interdisciplinary perspectives of Cognitive Linguistics, Neurolinguistics, Cognitive Poetics, and Neurocognitive Poetics. Rather than treating the poem merely as a repository of Sangam landscape imagery and love conventions, the study investigates how linguistic structures may organize perception, memory, emotion, embodiment, conceptual mapping, and aesthetic experience in the reader or listener. The study argues that the tiṇai system in Kuṟiñcippāṭṭu functions as a complex cognitive schema in which geographical environment, sensory imagery, human emotion, social action, and cultural knowledge are integrated into a unified conceptual structure. Mountain, flower, waterfall, animal, season, darkness, and movement do not operate simply as decorative descriptions. They activate interconnected mental representations through which love, anticipation, secrecy, anxiety, social regulation, and emotional transition become intelligible. Using conceptual metaphor theory, embodied cognition, schema theory, discourse processing, and neurocognitive poetics as interpretative frameworks, this paper proposes that Kuṟiñcippāṭṭu can be understood as a sophisticated form of cognitive-cultural communication. The poem demonstrates how poetic language recruits’ sensory simulation, associative memory, affective processing, and culturally shared conceptual frames. The article therefore proposes a Cognitive-Neurolinguistic model for the study of Classical Tamil literature.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 7%
Language, Metaphor, and Cognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.