Literature DB >> 26520647

Temporal averaging across multiple response options: insight into the mechanisms underlying integration.

Benjamin J De Corte1, Matthew S Matell2.   

Abstract

Rats trained on a dual-duration, dual-modality peak-interval procedure (e.g., tone = 10 s/light = 20 s) often show unimodal response distributions with peaks that fall in between the anchor durations when both cues are presented as a simultaneous compound. Two hypotheses can explain this finding. According to the averaging hypothesis, rats integrate the anchor durations into an average during compound trials, with each duration being weighted by its respective reinforcement probability. According to the simultaneous temporal processing hypothesis, rats time both durations veridically and simultaneously during compound trials and respond continuously across both durations, thereby producing a unimodal response distribution with a peak falling in between the anchor durations. In the present compounding experiment, rats were trained to associate a tone and light with two different durations (e.g., 5 and 20 s, respectively). However, in contrast to previous experiments, each cue was also associated with a distinct response requirement (e.g., left nosepoke for tone/right nosepoke for light). On the majority of compound trials, responding on a given nosepoke fell close to its respective duration, but was shifted in the direction of the other cue's duration, suggesting rats timed an average of the two durations. However, more weight appeared to be given to the duration associated with the manipulandum on which the rat responded, rather than the duration associated with a higher reinforcement probability as predicted by the averaging hypothesis. Group differences were also observed, with rats trained to associate the tone and light with the short and long durations, respectively, being more likely to show these shifts than the counterbalanced modality-duration group (i.e., light-short/tone-long). This parallels group differences observed in past studies and suggest that cue weighting in response to stimulus compounds is influenced by the modality-duration relationship of the anchor cues. The current results suggest that temporal averaging is a more flexible process than previously theorized and provide novel insight into the mechanisms that affect cue weighting.

Entities:  

Keywords:  Interval timing; Simultaneous temporal processing; Stimulus compounding; Temporal averaging; Time perception

Mesh:

Year:  2015        PMID: 26520647      PMCID: PMC4752890          DOI: 10.1007/s10071-015-0935-4

Source DB:  PubMed          Journal:  Anim Cogn        ISSN: 1435-9448            Impact factor:   3.084


  31 in total

1.  Optimal integration of texture and motion cues to depth.

Authors:  R A Jacobs
Journal:  Vision Res       Date:  1999-10       Impact factor: 1.886

2.  Microstructural analysis of negative anticipatory contrast: A reconsideration of the devaluation account.

Authors:  Rebecca L Wright; Gary Gilmour; Dominic M Dwyer
Journal:  Learn Behav       Date:  2013-12       Impact factor: 1.986

3.  Averaging temporal duration and spatial position.

Authors:  K Cheng; M L Spetch; P Miceli
Journal:  J Exp Psychol Anim Behav Process       Date:  1996-04

4.  Single-incentive selective associations produced solely as a function of compound-stimulus conditioning context.

Authors:  S J Weiss; L V Panlilio; C W Schindler
Journal:  J Exp Psychol Anim Behav Process       Date:  1993-07

5.  Isolation of an internal clock.

Authors:  S Roberts
Journal:  J Exp Psychol Anim Behav Process       Date:  1981-07

6.  Duration perception in crossmodally-defined intervals.

Authors:  Katja M Mayer; Massimiliano Di Luca; Marc O Ernst
Journal:  Acta Psychol (Amst)       Date:  2013-08-15

7.  Averaging of temporal memories by rats.

Authors:  Dale N Swanton; Cynthia M Gooch; Matthew S Matell
Journal:  J Exp Psychol Anim Behav Process       Date:  2009-07

8.  Bayesian integration of visual and auditory signals for spatial localization.

Authors:  Peter W Battaglia; Robert A Jacobs; Richard N Aslin
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2003-07       Impact factor: 2.129

9.  Temporal maps and informativeness in associative learning.

Authors:  Peter D Balsam; C Randy Gallistel
Journal:  Trends Neurosci       Date:  2009-01-10       Impact factor: 13.837

10.  Optimal integration of shape information from vision and touch.

Authors:  Hannah B Helbig; Marc O Ernst
Journal:  Exp Brain Res       Date:  2007-01-16       Impact factor: 2.064

View more
  8 in total

1.  Spatial integration during performance in pigeons.

Authors:  Aaron P Blaisdell; Julia E Schroeder; Cynthia D Fast
Journal:  Behav Processes       Date:  2017-12-21       Impact factor: 1.777

2.  Interval timing, temporal averaging, and cue integration.

Authors:  Benjamin J De Corte; Matthew S Matell
Journal:  Curr Opin Behav Sci       Date:  2016-04

3.  A Rescorla-Wagner drift-diffusion model of conditioning and timing.

Authors:  André Luzardo; Eduardo Alonso; Esther Mondragón
Journal:  PLoS Comput Biol       Date:  2017-11-02       Impact factor: 4.475

4.  Numerical averaging in mice.

Authors:  Ezgi Gür; Yalçın Akın Duyan; Fuat Balcı
Journal:  Anim Cogn       Date:  2020-11-04       Impact factor: 3.084

5.  Asymmetry in updating long-term memory for time.

Authors:  Joffrey Derouet; Sylvie Droit-Volet; Valérie Doyère
Journal:  Learn Mem       Date:  2021-01-15       Impact factor: 2.460

6.  Rational inattention and tonic dopamine.

Authors:  John G Mikhael; Lucy Lai; Samuel J Gershman
Journal:  PLoS Comput Biol       Date:  2021-03-24       Impact factor: 4.475

7.  Recalibrating timing behavior via expected covariance between temporal cues.

Authors:  Benjamin J De Corte; Rebecca R Della Valle; Matthew S Matell
Journal:  Elife       Date:  2018-11-02       Impact factor: 8.140

8.  5-HT1a Receptor Involvement in Temporal Memory and the Response to Temporal Ambiguity.

Authors:  Zvi R Shapiro; Samantha Cerasiello; Loryn Hartshorne; Matthew S Matell
Journal:  Front Neurosci       Date:  2018-07-03       Impact factor: 4.677

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.