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        <identifier>oai:figshare.com:article/32994170</identifier>
        <datestamp>2026-05-01T00:00:00Z</datestamp>
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          <dc:title>A Modular Computational Framework for Integrating Motion and Chromatic Representations in Mice Retina</dc:title>
          <dc:creator>Resham Patil (24399695)</dc:creator>
          <dc:subject>Computer Science</dc:subject>
          <dc:description>This thesis presents a modular computational framework for integrating motion-sensitive and
chromatic response representations in the mouse retina. Although motion and color processing
have been extensively studied, they are typically characterized using different experimental
paradigms and incompatible representational forms. Motion sensitivity is described through
spatiotemporal receptive fields, while chromatic sensitivity is summarized using temporal
response kernels. This work addresses the challenge of combining these heterogeneous
representations into a unified and interpretable computational system.
The proposed framework operates on fixed experimental datasets and incorporates chromatic
information into motion receptive fields through structured, region-wise modulation of center and
surround components. Anatomical alignment across independent datasets is achieved using
normalized inner plexiform layer (IPL) depth distributions and electron microscopy–defined
bipolar cell types as a bridging reference, enabling anatomically constrained pairing of motion
and chromatic clusters.
Stimulus-driven simulations are performed using linear convolution under moving-bar, looming,
receding, and full-field flicker stimulation. Model predictions are evaluated against
experimentally recorded flicker responses using correlation-based metrics. Results show that
chromatic weighting systematically modulates the timing and magnitude of motion-evoked
responses while preserving receptive-field structure. These findings demonstrate that
independently characterized motion and color representations can be integrated within a
principled and interpretable computational framework for studying early visual processing.</dc:description>
          <dc:date>2026-05-01T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Thesis</dc:type>
          <dc:identifier>10.25417/uic.32994170.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/thesis/A_Modular_Computational_Framework_for_Integrating_Motion_and_Chromatic_Representations_in_Mice_Retina/32994170</dc:relation>
          <dc:rights>In Copyright</dc:rights>
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