CHAPTER 3_ NEURAL AND SOCIAL NETWORKS

LESSON 1: THE HUMAN BRAIN

Introduction to Brain Functions

  • Paul Broca & Carl Wernicke: Pioneered the understanding of brain regions related to speech; damage leads to speech impairments.

  • Growing Interest: Recent findings on brain functionality challenge fixed notions about intelligence, emphasizing change through experience.

Intelligence and Learning

  • Intelligence Quotient (IQ) Tests: Historically seen as fixed; modern research indicates intelligence can change with experience.

  • Neural Networks: Learning creates neural connections in the brain shaped by social interactions and environments.

Example

  • Entrepreneurship Project: High school students develop skills through a business plan project, strengthening their cognitive and social abilities.

Emotion and Cognition

  • Role of Emotion: Rational thoughts influenced by feelings; decisions impact social interactions and relationships.

  • Brain Plasticity: The concept that the brain can reorganize and adapt structurally and functionally due to experiences.


PAGE 2: NEUROPLASTICITY AND DEVELOPMENT

Donald Hebb's Contribution

  • Hebb's Rule: Synapses strengthen through repeated neural activity: "Neurons that fire together wire together."

  • Critical Period: Brain plasticity is more pronounced in childhood than adulthood.

Learning through Experience

  • Skill Acquisition: Learning complex tasks strengthens associated neural pathways, making tasks easier over time.

  • Neural Growth: Brain changes during infancy and adolescence through experience and interaction.


PAGE 3: ROLE OF NEURONS

Composition of the Brain

  • Neurons: Comprise 80 to 100 billion cells processing information via electrical and chemical signals, connecting in circuits.

  • Biological Neural Networks: Clusters enabling communication and data processing.

Learning Impact

  • Hebb's Insights: Learning is shaped by certain actions and environmental exposure, reinforcing neural circuits.

  • Example: Learning to play guitar illustrates the interaction of biology, experience, and culture.


PAGE 4: ARTIFICIAL NEURAL NETWORKS (ANN)

Concept and Functionality

  • ANN: Mimics human brain processing for tasks like classification and calculation, used in various fields.

  • Input-Process-Output Model: Data flows from input devices, processed, and relayed through output devices.

Historical Background

  • Perceptron: Developed in the 1950s for image recognition, but had limitations leading to a more advanced multilayer model.


PAGE 5: BIOLOGICAL VERSUS ARTIFICIAL NETWORKS

Distinctions

  • Human Brain: Functions through complex social experiences, emotions, and adaptability.

  • Artificial Intelligence: Operates mechanically, lacking emotions and cultural nuances.

Social Brain Functions

  • Triune Brain: Involved in learning and adaptation through various brain regions interacting.

  • Example: Reading skills development requires multiple brain areas working together.


PAGE 6: SOCIAL BRAIN DYNAMICS

Adolescent Brain

  • Social Engagement: Adolescents refine their social skills and adapt during critical growth periods influenced by brain activity.

  • Brain and Social Connections: Networks enable interaction and adaptation to social environments.


PAGE 7: BIOLOGY AND SOCIETY

Nature-Nurture Interplay

  • Mutual Shaping: Brain functions influenced by and influencing social interactions and cultural contexts.

  • Need for Multidisciplinary Studies: To understand the complexities of human behavior and societal interactions.


PAGE 8: SOCIAL NETWORKS AND INTERACTION

Importance of Relationships

  • Networking: Humans form networks to meet biological and social needs.

  • Social Self Development: Through shared activities, individuals learn social skills and establish support systems.


PAGE 9: SOCIAL INSTITUTIONS

Conservative vs. Progressive Views

  • Institutions: Viewed as natural (conservative) or needing redesign (progressive) to better serve community needs.


PAGE 10: SOCIAL NETWORK ANALYSIS (SNA)

Understanding Groups

  • SNA Definition: A method to analyze patterns of human interaction in diverse social contexts.

  • Method Origin: Expanded from early anthropological studies to modern social connections.


PAGE 11: SOCIOGRAMS

Representation of Relationships

  • Sociogram: Visual tool illustrating strength and dynamics of interpersonal connections within groups.


PAGE 12: SOCIAL ROLES AND STATUS

Role Definitions

  • Status and Role Interplay: Status defines access to resources, while roles involve fulfilling societal expectations.

  • Social Dynamics: Understanding the correlation between roles and statuses in shaping behavior.


PAGE 13: STATUS EVOLUTION

Historical Context

  • Societal Development: Evolution from simple to complex social structures through changing demands.


PAGE 14: DIGITAL CONNECTIVITY

Impact of Technology

  • New Modes of Interaction: Facilitates information sharing and creates complex relationship dynamics.


PAGE 15: COVID-19 IMPACT

Pandemic Effects

  • Social Distancing: Affects mental health and alters social engagement patterns across sectors.


PAGE 16: CONCLUSIONS ON SOCIAL INTERACTIONS

Interdependence in Society

  • Social Networks: Essential for fulfilling human needs; structured through roles and relations.

  • Evolution of Social Institutions: To address changing societal demands and dynamics effectively.

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