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Published on: February 8, 2020
Emergent Orientation Selectivity from Random Networks in Mouse Visual Cortex
Jagruti J Pattadkal1, German Mato2, Carl van Vreeswijk3
1Center for Perceptual Systems and Center for Learning and Memory, The University of Texas at Austin, 2415 Speedway, Austin, TX 78712, USA.
Random neural connections create orientation selectivity in mouse visual cortex (V1). This computational model predicts complex receptive fields and orientation shifts with spatial frequency, confirmed by experimental data.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Visual System Research
Background:
- Understanding orientation selectivity in the primary visual cortex (V1) is crucial for visual processing.
- Mammals like rodents and lagomorphs lack a clear orientation map in V1, making their selectivity principles less understood.
- Existing models often focus on species with orientation maps, leaving a gap in explaining selectivity in rodents.
Purpose of the Study:
- To investigate the principles of neural connectivity that lead to orientation selectivity in mammals lacking a V1 orientation map.
- To develop and validate a computational model that explains the emergence of orientation selectivity from random connectivity.
- To predict specific neural response characteristics in mouse V1 related to spatial frequency and orientation.
Main Methods:
- Development of a computational model simulating random neural connectivity in V1.
- Analysis of model predictions regarding receptive field structure and orientation tuning across spatial frequencies.
- Experimental validation using in vivo calcium imaging in mouse V1.
- In vivo intracellular whole-cell recordings in mouse V1 to assess neuronal responses.
Main Results:
- The computational model successfully reproduced orientation selectivity consistent with experimental observations.
- Model predictions of intricate two-dimensional frequency domain receptive fields were confirmed.
- A shift in orientation preferences as a function of spatial frequency was observed in mouse V1 neurons.
- Experimental data supported the model's predictions regarding complex receptive fields and spatial frequency-dependent tuning.
Conclusions:
- Random connectivity is a sufficient mechanism for generating orientation selectivity in mouse V1.
- Mouse V1 neurons possess complex receptive fields in the frequency domain, influencing orientation tuning.
- The findings provide a new framework for understanding visual cortical organization in mammals without explicit orientation maps.
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