3-day Virtual Seminar

Cognition and Neuroscience: How the Brain Inspires Artificial Intelligence

Overview

This webinar provides an accessible introduction to the relationship between human cognition, neuroscience, and Artificial Intelligence. Starting with the basic structure and functioning of the brain, the session explains how biological neurons communicate and how networks of neurons enable perception, learning, memory, and decision-making.

The webinar then connects these biological concepts to Artificial Neural Networks, Deep Learning, and modern AI systems, showing how concepts such as neurons, synaptic connections, activation, learning, and hierarchical processing have inspired computational models.

Most importantly, the session will go beyond the popular "AI works like the brain" analogy and examine where the similarities end. Participants will understand the fundamental structural and functional differences between biological brains and artificial neural networks, giving them a realistic understanding of how brain-inspired AI actually is.

Why you should Attend

AI is inspired by the brain - but how much of the brain is actually inside today's AI?

Neural networks are often described as being "brain-inspired," but modern AI systems are still dramatically different from biological intelligence. Understanding this gap gives you a deeper perspective on what AI can do today, why it works, and where its limitations come from.

Areas Covered in the Session

• What is cognition and how does the human brain process information? 
  
• Basic structure of the human brain 
  
• Neurons, synapses and neural communication 
  
• How the brain learns from experience 
  
• Perception, memory, decision-making and pattern recognition 
  
• From biological neurons to artificial neurons 
  
• How the brain inspired Artificial Neural Networks 
  
• Understanding the basic structure of an Artificial Neural Network 
  
• Biological neurons vs artificial neurons 
  
• Synapses vs weights in neural networks 
  
• Learning in the brain vs learning in AI 
  
• How Deep Learning models hierarchical representations 
  
• Brain-inspired approaches beyond traditional neural networks 
  
• How similar is the brain to modern AI systems? 
  
• Key structural and functional differences between brains and AI 
  
• Why current AI is not a digital replica of the human brain 
  
• What neuroscience can teach us about the future of AI 

Who Will Benefit

• Computer Science Students 
  
• Engineering Students 
  
• AI / ML Students 
  
• Neuroscience and Cognitive Science Enthusiasts 
  
• Software Developers interested in AI 
  
• Aspiring AI/ML Engineers 
  
• Data Science Students 
  
• Researchers and students interested in brain-inspired computing 
  
• Anyone curious about how the human brain influences AI