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Sensory Evidence Accumulation Using Optic Flow in a Naturalistic Navigation Task.

Panos Alefantis1, Kaushik Lakshminarasimhan2, Eric Avila3

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Humans and monkeys integrate optic flow for navigation, showing sensory evidence accumulation is key in action-perception tasks. This study used a virtual reality navigation task to explore decision-making during movement.

Keywords:
closed loopnaturalisticnavigationnonhuman primatessensory accumulationvirtual reality

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Behavioral Biology

Background:

  • Sensory evidence accumulation is crucial for decision-making in complex environments.
  • Traditional studies often use passive stimuli, separating perception from action.
  • Real-world behaviors like navigation involve a continuous interplay between perception and action.

Purpose of the Study:

  • To investigate sensory evidence accumulation in a naturalistic, closed-loop navigation task.
  • To determine if humans and monkeys integrate optic flow during self-initiated movements.
  • To differentiate reliance on sensory input versus internal models in action-perception tasks.

Main Methods:

  • Developed a virtual reality sequential decision task for humans and monkeys.
  • Subjects navigated to a target location using optic flow from joystick movements.
  • Manipulated optic flow perturbations, joystick gain, and optic flow density to probe evidence integration.

Main Results:

  • Both humans and macaques demonstrated significant reliance on optic flow during navigation.
  • Results indicate robust sensory evidence accumulation in a closed-loop action-perception paradigm.
  • Behavioral responses were consistent with integrating visual sensory information over time.

Conclusions:

  • Sensory evidence accumulation plays a critical role in naturalistic, closed-loop navigation tasks.
  • The findings challenge traditional paradigms by demonstrating integration in active, continuous behaviors.
  • This research highlights the importance of sensorimotor interactions in understanding decision-making.