C2 brain and mind

Class Discussion Format

  • Grouping: Discuss in groups of three.

  • Focus: Identify which of the three vertices of the cognitive neuroscience triangle each question or research project adopts.

    • Example: Peter's project on driving behavior.

Cognitive Neuroscience Triangle

  • Three Vertices: Computational approach, Psychological approach, and Behavioral approach.

  • Example Application: Examining how cognitive processes like memory, attention, and control operate in the context of driving.

  • Cognitive Processes Involved:

    • Attention: Knowing where you are headed.

    • Memory: Recall of routes or past experiences.

    • Control: Either cognitive or physical ability to navigate safely.

Cognitive and Behavioral Analysis

  • Comparative Study: Examining the differences in cognition under varying external conditions (e.g., anxious vs. not anxious states) using a driving test as an outcome measure.

Computational Modeling Explained

  • Definition: Using algorithms to understand behavior rather than directly modeling driving behavior with computers.

  • Clarification:

    • Using driving simulators does not equate to computational modeling.

    • Computational models are specifically for analyzing and predicting behavior (e.g., Waymo, Tesla's algorithms).

Data Driven vs. Conceptually Driven Processing

  • Data Driven Processing (Bottom-Up):

    • Based on sensory input, recognizing visual objects without prior context.

    • Example: Seeing a complete word without obscured letters, easily recognizing its meaning.

  • Conceptually Driven Processing (Top-Down):

    • Relies on existing knowledge or context (semantic memory) to identify objects with incomplete visual information.

    • Example: Letters obscured in a word can still be guessed because of context or definition provided.

Distinction Clarified

  • Clue-Based Example:

    • Crossword Puzzles: Solve using definitions and context.

    • Understanding visual cues merges both conceptual (meaning) and data-driven (visual input) information.

Importance of Knowledge in Processing

  • Language Recognition: Knowledge about English words aids in recognition despite visual obscurity.

  • Cognitive Implications: Understanding the processing can vary based on the individual’s familiarity with language or concepts.

Examples Illustrating the Concepts

  • Crossword Puzzle Analogy:

    • Clue: “Related to ‘killer’” leads to conceptually driven processing.

    • Visual Object without sensations invokes data-driven recognition purely through sensory input.

Memory and Cognitive Models

  • Two-Way Information Flow:

    • The complexity of understanding words from a visual stimulus integrates both data and conceptually driven processing.

  • Cognitive Revolution:

    • Emphasizes cognition's intrinsic value beyond mere behaviorist perspectives.

Cognitive Neuroscience Techniques Overview

Invasive Techniques

  • Purpose: Used only when necessary due to their associated risks.

  • Types:

    • Intracranial Recording:

    • Detailed measurement of brain activity by inserting electrodes directly into the brain regions.

    • Critical for understanding specific brain functions.

    • Use in Epilepsy Treatment:

    • Analyze brain regions responsible for seizures before removal surgeries.

Animal Studies and In Vitro Analysis

  • In Vitro Studies: Brain slices from animals to observe neuron functionality.

  • Patient Interventions: Example of picture recognition tasks during open brain surgeries to link brain areas to functions.

Non-Invasive Techniques

  • EEG (Electroencephalography):

    • Measures electrical activity across the scalp using electrode arrays, akin to microphones in a stadium picking up sound.

  • fMRI (Functional Magnetic Resonance Imaging):

    • Tracks blood flow changes and oxygen use in active brain regions over time.

    • Correlates cognitive activity with brain structure).

Understanding Measurement Limitations

  • Temporal vs. Spatial Resolution:

    • EEG: Excellent temporal resolution but poor spatial localization.

    • fMRI: Good spatial resolution but limited temporal accuracy due to time required in scanning input.

Conclusion of Module One

  • Next Steps: Prepare for a broader discussion of brain functions in relation to mind and consciousness in future sessions. Reinforce understanding of cognitive neuroscience techniques and their implications for understanding behavior and cognition.