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Related Concept Videos

Effects of feedback01:24

Effects of feedback

915
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
915

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Feedback timing modulates interactions between feedback processing and memory encoding: Evidence from event-related

Gerrit Höltje1, Axel Mecklinger2

  • 1Experimental Neuropsychology Unit, Department of Psychology, Campus A2.4, Saarland University, 66123, Saarbrücken, Germany. gerrit.hoeltje@uni-saarland.de.

Cognitive, Affective & Behavioral Neuroscience
|January 5, 2020
PubMed
Summary
This summary is machine-generated.

Delayed feedback processing and memory encoding compete for neural resources, impacting reward prediction error signals. Shorter feedback delays rely more on procedural learning, while longer delays enhance memory recall.

Keywords:
Declarative memoryEvent-related potentialsFeedback timingReinforcement learningReward prediction error

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Area of Science:

  • Cognitive Neuroscience
  • Neurobiology of Learning and Memory

Background:

  • Feedback-based learning utilizes reward prediction errors (RPEs) via a procedural learning system.
  • Temporally delayed feedback processing involves declarative memory structures, but its interaction with memory encoding remains unclear.

Purpose of the Study:

  • To investigate the interaction between delayed feedback processing and memory encoding.
  • To examine how incidental encoding of feedback pictures with short (SD) versus long (LD) delays affects the feedback-related negativity (FRN), an electrophysiological correlate of RPEs.

Main Methods:

  • Employed a subsequent memory paradigm within a probabilistic learning task.
  • Measured feedback-related negativity (FRN) amplitudes (FRNpeak and FRNdiff) during learning.
  • Conducted a surprise recognition memory test for feedback pictures after learning.

Main Results:

  • Diminished FRNpeak for remembered LD feedback pictures suggests competition between delayed feedback processing and memory encoding for neural resources.
  • Large FRNdiff amplitudes in the SD condition indicate strong reliance on the procedural learning system for shortly delayed feedback.
  • Memory for LD feedback pictures was superior to SD pictures, associated with a late old-new effect in recognition.

Conclusions:

  • Delayed feedback processing and memory encoding engage overlapping neural resources, modulating RPE signaling.
  • Short feedback delays are primarily processed by the procedural learning system, whereas long delays facilitate enhanced memory encoding and subsequent recall.