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Invariant neural subspaces maintained by feedback modulation.

Laura B Naumann1,2, Joram Keijser1, Henning Sprekeler1,2

  • 1Modelling of Cognitive Processes, Technical University of Berlin, Berlin, Germany.

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Summary
This summary is machine-generated.

Feedback, not just feedforward processing, can create context-invariant sensory representations. This emerges at the population level in neural networks through dynamic reorientation of neural activity manifolds.

Keywords:
blind source separationfeedbackgain modulationinvarianceneurosciencenonepopulation analysessensory processing

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Artificial Intelligence

Background:

  • Sensory systems exhibit remarkable context invariance, processing stimuli despite changing environments.
  • Current models often attribute this to hierarchical feedforward neural networks extracting complex features.

Purpose of the Study:

  • To investigate the role of feedback mechanisms in establishing context-invariant sensory representations.
  • To explore how feedback, rather than solely feedforward processing, contributes to flexible sensory processing.

Main Methods:

  • Utilized feedforward neural networks modulated by simulated feedback.
  • Implemented feedback as slow, spatially diffuse gain modulation.
  • Analyzed neural activity at both individual neuron and population levels.

Main Results:

  • Demonstrated that feedback-modulated feedforward networks can dynamically generate invariant sensory representations.
  • Showed that context invariance emerges at the population level, not in individual neurons.
  • Identified that feedback dynamically reorients neural activity manifolds, maintaining invariant neural subspaces.

Conclusions:

  • Feedback processing is a viable mechanism for achieving context-invariant sensory representations.
  • Population-level analysis is crucial for understanding the contribution of feedback to flexible sensory processing.
  • Slow, diffuse gain modulation via feedback can support robust sensory representations.