Working Memory

Memory Components

  • Working Memory

    • Connection to perception, attention, and pattern recognition.

    • Links to long-term memory.

    • Facilitates behaviors via motor system signals.

Historical Models of Memory

  • Atkinson and Shiffrin (1968)

    • Pioneered short-term memory models, using computers as an analogy for human cognition.

    • Emphasized the role of Random Access Memory (RAM) in memory functioning.

    • RAM: Temporary storage for actively used information (akin to working memory).

    • Other computer memory types:

      • Hard Drives: Long-term storage (akin to long-term memory).

      • Solid-State Drives (SSDs): Also equivalent to long-term memory.

    • Proposed memory as an integrated system comprising:

    • Acquisition of Information

    • Storage of Information

    • Retrieval of Information

    • Key concept: Memory acts continuously, components interact with each other.

    • Memory has limited capacity:

    • Limited space (can fill up)

    • Limited time (memories last for a certain duration)

Computer Memory Analogy

  • Memory Crashes:

    • Experiences of RAM filling up leading to system crashes and errors.

  • Limited Resources:

    • Example of lagging when typing too fast for the computer to process.

Memory Processing Model

  • Input

    • Through Sensory Memory

  • Moves into Short-Term Memory

  • Can transition to Long-Term Memory and vice versa.

  • Two processes within Short-Term Memory:

    • Output

    • Rehearsal Mechanism: Maintains information in memory.

Real-Life Example: Phone Numbers

  • Example: Looking up a phone number to memorize while dialing.

    • Steps:

    • Observe sensory information.

    • Focus moves it into short-term memory.

    • Rehearsal occurs during dialing.

    • Repeated exposure can cement the number into long-term memory (e.g., Marco's Pizza phone number).

Short-Term Memory Capacity

  • Capacity Test:

    • The magic number for short-term memory: 7 ± 2 items (5 to 9 items).

    • Experiment with Digit Span:

    • Participants SF and DD: Improved recall from practice (80 and 67 digits respectively after 40-50 days).

Chessboard Memory Experiment

  • Experiment Overview:

    • Participants memorized chess pieces on a board.

    • Different exposure times led to variability in recall.

    • Expert players recalled chess positions better than novices due to pre-existing knowledge.

    • Experts recognized clusters of pieces as single items, enhancing memory.

  • Chunking:

    • Concept of organizing information into meaningful units to enhance recall, e.g., area codes, significant historical years.

    • Could remember fewer but larger chunks of information.

Chunking in Chess Memory

  • Studies by Chase and Simon:

    • Compared novice and expert chess players' memory performance for game positions.

    • Experts showed higher memory accuracy for realistic game positions.

    • Non-feasible board positions yielded only marginal improvements for both skill levels.

  • Expertise Influence:

    • Difference in memory efficacy between expert and novice players when recalling game positions based on prior practice and knowledge of the game.

    • Average chunks recalled: 7.7 for experts vs. 5.3 for novices.

    • Larger chunks recalled: 2.5 pieces for experts vs. 1.9 pieces for novices.

Implications and Conclusion

  • Performance in memory tasks is closely tied to prior knowledge and expertise, emphasizing the interconnectedness of working memory and long-term storage.

  • The discussion will continue, with implications for learning and memory techniques to be explored in upcoming sessions.