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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Related Experiment Video

Updated: Jan 10, 2026

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
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Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys.

Julia K Brynildsen, Panagiotis Fotiadis, Karol P Szymula

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    This study introduces network energetics theory to explain how brain states drive sequential behaviors in primates learning habits. Habit formation correlates with reduced neural control energy, offering insights into motor learning.

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    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Systems Neuroscience

    Background:

    • Primates learn habits in uncertain environments via distributed neural circuits.
    • The precise mechanisms linking brain states to sequential behavior are not fully understood.

    Purpose of the Study:

    • To propose a formal theory of network energetics to explain how brain states influence sequential behavior.
    • To investigate the relationship between neural activity, control energy, and habit formation in primates.

    Main Methods:

    • Developed a network energetics theory based on brain state transitions.
    • Recorded multi-unit activity from macaque caudate nucleus and cortical regions during a motor habit task.
    • Analyzed trial-specific firing rates and simulated neural activity to test theoretical predictions.

    Main Results:

    • The theory predicts the energy required for transitions between neural firing rate states.
    • Observed lower control energy for transitions between similar or intermediate complexity saccade patterns.
    • Sessions utilizing fewer behavioral patterns showed reduced energy requirements.
    • Simulations and virtual lesioning supported the robustness of the findings.

    Conclusions:

    • Habit formation is associated with decreased neural control energy.
    • Network energetics provides a framework for understanding behavior arising from dynamic neural activity.
    • This research offers a novel perspective on the neural basis of motor learning and habit formation.