SlideShare a Scribd company logo
1 of 6
Human Learning
             Topic 12 - 2: Special Issues: Timing




CEDP324   Ryan Sain, Ph.D.    1                     3/29/2012
What is timing?
 Effects of stimuli are determined by durations or
  distributions in time

 Identifying that time has passed – and responding in a
  different manner

 Habituation, sensitization, spontaneous recovery

 Classical conditioning

 Operant conditioning


CEDP324   Ryan Sain, Ph.D.   2                        3/29/2012
Studying timing
 Timing as a biological process

 Environmental clues must be ruled out
     Clocks ticking
     Sun rising




CEDP324   Ryan Sain, Ph.D.   3            3/29/2012
Timing techniques
 Duration estimation
     Discrimination task
     Sd is the duration of an event
     Match to sample procedure
 Peak procedure
     Sd presented
     After specified time passes a response will produce Sr
     Responding follows a generalization gradient

CEDP324   Ryan Sain, Ph.D.     4                        3/29/2012
Time out!
 Using a peak
  procedure
                                     20 second peak   10 second delay
     20 second                      No delay

 Introduce a break in
  the Sd
     10 seconds
     Sd only presented for
      20 seconds total
                                      10       20       30           40
 The peak shifts by that
  amount of break
CEDP324   Ryan Sain, Ph.D.       5                           3/29/2012
Theories
 Cognitive – Scalar Expectancy Theory
     Pacemaker  Switch  accumulator (sums)
     Send that info to working memory
     Then compare that to the stimulus and decide if you should
      respond
 Behavioral
     Adjunctive behavior (waiting behaviors)
              Finger tapping, etc
     Those occur in a particular pattern
     After the pattern is complete the interval should be over

CEDP324       Ryan Sain, Ph.D.       6                            3/29/2012

More Related Content

Viewers also liked

324 03 part 3.1 classical conditioning mechanisms
324 03 part 3.1 classical conditioning mechanisms324 03 part 3.1 classical conditioning mechanisms
324 03 part 3.1 classical conditioning mechanisms
Ryan Sain
 
324 05.5 motivational mechanisms
324 05.5 motivational mechanisms324 05.5 motivational mechanisms
324 05.5 motivational mechanisms
Ryan Sain
 
324 02 part 1 elicited behavior, habituation, sensitization
324 02 part 1 elicited behavior, habituation, sensitization324 02 part 1 elicited behavior, habituation, sensitization
324 02 part 1 elicited behavior, habituation, sensitization
Ryan Sain
 
324 02 part 3 elicited behavior, habituation, sensitization
324 02 part 3 elicited behavior, habituation, sensitization324 02 part 3 elicited behavior, habituation, sensitization
324 02 part 3 elicited behavior, habituation, sensitization
Ryan Sain
 
Behavior modification
Behavior modificationBehavior modification
Behavior modification
Vhainj Hibe
 
Study design in research
Study design in  research Study design in  research
Study design in research
Kusum Gaur
 
Facilitating Complexity: A Pervert's Guide to Exploration
Facilitating Complexity: A Pervert's Guide to ExplorationFacilitating Complexity: A Pervert's Guide to Exploration
Facilitating Complexity: A Pervert's Guide to Exploration
William Evans
 
Behaviour modification ppt 1
Behaviour modification ppt 1Behaviour modification ppt 1
Behaviour modification ppt 1
Anju Gautam
 

Viewers also liked (10)

324 03 part 3.1 classical conditioning mechanisms
324 03 part 3.1 classical conditioning mechanisms324 03 part 3.1 classical conditioning mechanisms
324 03 part 3.1 classical conditioning mechanisms
 
324 05.5 motivational mechanisms
324 05.5 motivational mechanisms324 05.5 motivational mechanisms
324 05.5 motivational mechanisms
 
324 02 part 1 elicited behavior, habituation, sensitization
324 02 part 1 elicited behavior, habituation, sensitization324 02 part 1 elicited behavior, habituation, sensitization
324 02 part 1 elicited behavior, habituation, sensitization
 
324 01 history, methodology
324 01 history, methodology324 01 history, methodology
324 01 history, methodology
 
324 02 part 3 elicited behavior, habituation, sensitization
324 02 part 3 elicited behavior, habituation, sensitization324 02 part 3 elicited behavior, habituation, sensitization
324 02 part 3 elicited behavior, habituation, sensitization
 
Psyc 321_14 surveys
Psyc 321_14 surveysPsyc 321_14 surveys
Psyc 321_14 surveys
 
Behavior modification
Behavior modificationBehavior modification
Behavior modification
 
Study design in research
Study design in  research Study design in  research
Study design in research
 
Facilitating Complexity: A Pervert's Guide to Exploration
Facilitating Complexity: A Pervert's Guide to ExplorationFacilitating Complexity: A Pervert's Guide to Exploration
Facilitating Complexity: A Pervert's Guide to Exploration
 
Behaviour modification ppt 1
Behaviour modification ppt 1Behaviour modification ppt 1
Behaviour modification ppt 1
 

More from Ryan Sain

324 12 3 special topics tool use language
324 12 3 special topics tool use language324 12 3 special topics tool use language
324 12 3 special topics tool use language
Ryan Sain
 
324 12 2 special topics timing
324 12 2 special topics timing324 12 2 special topics timing
324 12 2 special topics timing
Ryan Sain
 
324 12 part 1 special topics food caching
324 12 part 1 special topics food caching324 12 part 1 special topics food caching
324 12 part 1 special topics food caching
Ryan Sain
 
324 10 observational learning
324 10 observational learning324 10 observational learning
324 10 observational learning
Ryan Sain
 
324 09 avoidance
324 09 avoidance324 09 avoidance
324 09 avoidance
Ryan Sain
 
324 7 part 2 extinction
324 7 part 2 extinction 324 7 part 2 extinction
324 7 part 2 extinction
Ryan Sain
 
324 06 stimulus control
324 06 stimulus control324 06 stimulus control
324 06 stimulus control
Ryan Sain
 
324 05 part 2.3 schedules of reinforcement
324 05 part 2.3 schedules of reinforcement324 05 part 2.3 schedules of reinforcement
324 05 part 2.3 schedules of reinforcement
Ryan Sain
 

More from Ryan Sain (19)

Psyc 321_13 ethics
Psyc 321_13 ethicsPsyc 321_13 ethics
Psyc 321_13 ethics
 
Psyc 321_12 small n research
Psyc 321_12 small n researchPsyc 321_12 small n research
Psyc 321_12 small n research
 
psyc 321_10 experimental ecology
psyc 321_10 experimental ecologypsyc 321_10 experimental ecology
psyc 321_10 experimental ecology
 
Psyc 321_09 within groups
Psyc 321_09 within groupsPsyc 321_09 within groups
Psyc 321_09 within groups
 
Psyc 321_07 control
Psyc 321_07 controlPsyc 321_07 control
Psyc 321_07 control
 
psyc 321_06 threats to validity and control
psyc 321_06 threats to validity and controlpsyc 321_06 threats to validity and control
psyc 321_06 threats to validity and control
 
Psyc 321_05 introduction to stats
Psyc 321_05 introduction to statsPsyc 321_05 introduction to stats
Psyc 321_05 introduction to stats
 
Psyc 321_04 numerical description
Psyc 321_04 numerical descriptionPsyc 321_04 numerical description
Psyc 321_04 numerical description
 
Psyc 321_03 hypotheses
Psyc 321_03 hypothesesPsyc 321_03 hypotheses
Psyc 321_03 hypotheses
 
Psyc 321_02 methods of_science
Psyc 321_02 methods of_sciencePsyc 321_02 methods of_science
Psyc 321_02 methods of_science
 
Psyc 321_01 what is science
Psyc 321_01 what is sciencePsyc 321_01 what is science
Psyc 321_01 what is science
 
324 12 3 special topics tool use language
324 12 3 special topics tool use language324 12 3 special topics tool use language
324 12 3 special topics tool use language
 
324 12 2 special topics timing
324 12 2 special topics timing324 12 2 special topics timing
324 12 2 special topics timing
 
324 12 part 1 special topics food caching
324 12 part 1 special topics food caching324 12 part 1 special topics food caching
324 12 part 1 special topics food caching
 
324 10 observational learning
324 10 observational learning324 10 observational learning
324 10 observational learning
 
324 09 avoidance
324 09 avoidance324 09 avoidance
324 09 avoidance
 
324 7 part 2 extinction
324 7 part 2 extinction 324 7 part 2 extinction
324 7 part 2 extinction
 
324 06 stimulus control
324 06 stimulus control324 06 stimulus control
324 06 stimulus control
 
324 05 part 2.3 schedules of reinforcement
324 05 part 2.3 schedules of reinforcement324 05 part 2.3 schedules of reinforcement
324 05 part 2.3 schedules of reinforcement
 

Recently uploaded

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Recently uploaded (20)

MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 

324 12 2 special topics timing

  • 1. Human Learning Topic 12 - 2: Special Issues: Timing CEDP324 Ryan Sain, Ph.D. 1 3/29/2012
  • 2. What is timing?  Effects of stimuli are determined by durations or distributions in time  Identifying that time has passed – and responding in a different manner  Habituation, sensitization, spontaneous recovery  Classical conditioning  Operant conditioning CEDP324 Ryan Sain, Ph.D. 2 3/29/2012
  • 3. Studying timing  Timing as a biological process  Environmental clues must be ruled out  Clocks ticking  Sun rising CEDP324 Ryan Sain, Ph.D. 3 3/29/2012
  • 4. Timing techniques  Duration estimation  Discrimination task  Sd is the duration of an event  Match to sample procedure  Peak procedure  Sd presented  After specified time passes a response will produce Sr  Responding follows a generalization gradient CEDP324 Ryan Sain, Ph.D. 4 3/29/2012
  • 5. Time out!  Using a peak procedure 20 second peak 10 second delay  20 second No delay  Introduce a break in the Sd  10 seconds  Sd only presented for 20 seconds total 10 20 30 40  The peak shifts by that amount of break CEDP324 Ryan Sain, Ph.D. 5 3/29/2012
  • 6. Theories  Cognitive – Scalar Expectancy Theory  Pacemaker  Switch  accumulator (sums)  Send that info to working memory  Then compare that to the stimulus and decide if you should respond  Behavioral  Adjunctive behavior (waiting behaviors)  Finger tapping, etc  Those occur in a particular pattern  After the pattern is complete the interval should be over CEDP324 Ryan Sain, Ph.D. 6 3/29/2012