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Between-session memory degradation accounts for within-session changes in fixed-interval performance.

Carter W Daniels1, Paula F Overby1, Federico Sanabria1

  • 1Arizona State University, United States.

Behavioural Processes
|May 7, 2018
PubMed
Summary
This summary is machine-generated.

Fixed-interval timing performance can change within sessions. Pre-feeding altered response latencies by affecting the criterion pulse count, not the internal clock speed.

Keywords:
Computational modelingFixed-interval schedule of reinforcementInterval timingRatsResponse thresholdWithin-session

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Area of Science:

  • Behavioral neuroscience
  • Animal behavior

Background:

  • Fixed-interval (FI) timing research often assumes stable performance within sessions after inter-session stability is achieved.
  • Within-session variability in FI timing performance has been less explored.

Purpose of the Study:

  • To investigate within-session changes in fixed-interval (FI) timing performance.
  • To examine the effects of pre-feeding on response latencies and the underlying timing mechanisms.

Main Methods:

  • Analysis of published data from rats trained on fixed-interval 30-s (FI30) and fixed-interval 90-s (FI90) schedules.
  • Pre-feeding manipulation applied to FI90 rats for five sessions post-training stability.

Main Results:

  • Response rates declined within sessions, primarily due to increased response latency rather than reduced run rate.
  • Response latencies were modeled using a dynamic gamma-exponential mixture distribution.
  • Latency lengthening was attributed to an increase in the criterion pulse count, not a slower internal clock.
  • Clock speed was sensitive to FI length, while latency distribution parameters were sensitive to pre-feeding.

Conclusions:

  • Parameters governing FI timing are selectively sensitive to different manipulations.
  • Pre-feeding can lead to a degradation of the criterion pulse count between sessions.
  • The criterion pulse count recovers within sessions, explaining within-session performance changes.