Perceptual Processes as Charting Operators

Area of Science:

• Neuroscience
• Computational Neuroscience
• Mathematical Biology

Background:

• Classical models of sensory operators rely on simplified circuits.
• Existing circuit models struggle to unify diverse experimental observations.
• A need exists for a more comprehensive framework for sensory processing.

Purpose of the Study:

• To develop a novel, unified framework for sensory operators.
• To reframe sensory processing using the principles of intrinsic geometry.
• To provide a new perspective on empirical descriptors of sensory behavior.

Main Methods:

• Representing perceptual processes as distance measurements on a sensory manifold.
• Applying intrinsic geometry to model sensory operators.
• Connecting geometric concepts (flatness, curvature) to perceptual kernels.

Main Results:

• The proposed geometric framework successfully captures a wide range of empirical effects.
• The framework offers a novel interpretation of first-order and second-order perceptual kernels.
• Sensory descriptors are linked to the geometric properties of perceptual space.

Conclusions:

• Intrinsic geometry provides a powerful and unified language for sensory operators.
• This geometric approach offers new insights into the fundamental computations underlying perception.
• The framework has the potential to advance our understanding of sensory processing and its empirical descriptors.