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Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
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Response retention and apparent motion effect in visual cortex models.

Vasilii S Tiselko1,2, Maxim Volgushev3, Dirk Jancke4

  • 1Laboratory of Complex Networks, Center for Neurophysics and Neuromorphic Technologies, Moscow, Russia.

Plos One
|November 2, 2023
PubMed
Summary
This summary is machine-generated.

Neuronal networks retain responses to stimuli through strong recurrent connections, enabling the brain to perceive apparent motion. This response retention is crucial for generating smooth activity patterns that mimic real movement.

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Area of Science:

  • Computational Neuroscience
  • Visual Perception
  • Neural Dynamics

Background:

  • Apparent motion, a visual illusion, is perceived when stationary stimuli flash sequentially, creating the impression of movement.
  • The primary visual cortex exhibits smooth spatio-temporal activity patterns in response to apparent motion, similar to actual motion.
  • A key factor for generating these patterns is the brain's ability to prolong responses to brief stimuli, known as response retention.

Purpose of the Study:

  • To investigate the mechanisms underlying response retention in neuronal networks.
  • To determine the origin of smooth spatio-temporal activity profiles observed during apparent motion perception.
  • To analyze the role of recurrent connectivity and other factors in enabling response retention.

Main Methods:

  • Utilized firing-rate based models with a ring structure to simulate neuronal networks.
  • Employed a biologically-detailed conductance-based refractory density (CBRD) model with retinotopic space representation.
  • Analyzed response retention and activity patterns under varying connectivity strengths and model parameters.

Main Results:

  • The strength of recurrent connectivity was identified as the primary determinant of response retention in neuronal networks.
  • Response retention was linked to the emergence of 'bump attractor' states in ring models.
  • While synaptic depression and other factors influenced retention, they could not replace strong recurrent connections in models with weak connectivity.

Conclusions:

  • Strong recurrent connectivity is essential for neuronal networks to exhibit response retention, a prerequisite for apparent motion perception.
  • Layered network architectures can compensate for weaker lateral connections, facilitating activity retention through feedforward propagation.
  • A direct correlation exists between a network's ability to retain responses and its capacity to generate smooth spatio-temporal activity patterns consistent with apparent motion.