• Foundations
• 68 min
  1. Cognitive neuroscience: emergence of mind from brain an introduction to the cognitive neuroscience series

  • Prof. James McClelland
• Aspects of Cognition
• 61 min
  2. Visual perception and spatial awareness

  • Prof. Marlene Behrmann
• 44 min
  3. Attention

  • Dr. Ronald Rensink
• 58 min
  4. The neural bases of cognitive control

  • Prof. Jonathan Cohen
• 50 min
  5. Ready, set, action: cortical control of movement

  • Prof. Richard Ivry
• 34 min
  6. Language production and comprehension

  • Prof. Gary Dell
• 43 min
  7. The cognitive neuroscience of reading and dyslexia

  • Dr. Anna Woollams
• 45 min
  8. Semantic cognition: a cognitive neuroscience approach

  • Prof. Matthew Lambon-Ralph
• 45 min
  9. Memory and its neural basis

  • Prof. James McClelland
• 40 min
  10. The fundamentals of brain development: integrating nature and nurture

  • Prof. Joan Stiles
• 40 min
  11. Neurodevelopmental disorders

  • Prof. Dorothy V. M. Bishop
• 66 min
  12. The neurobiology of decision making: a window on cognition

  • Prof. Michael N. Shadlen
• 38 min
  13. The social brain and its development

  • Prof. Sarah-Jayne Blakemore
• 62 min
  14. The neurobiology of consciousness

  • Prof. Christof Koch

Printable Handouts

PDF

Navigable Slide Index

1. Introduction
2. Two perspectives for brain activity
3. Lecture outline
4. Basic principles of neural computation
5. Circuit components of the mind: neurons
6. Synapses: the connections between neurons
7. Propagation of information via action potentials
8. Scale of neural computation
9. Grey matter, white matter and overall connectivity
10. Neurons as 'perceptual predicates'
11. Processing information in neural populations (1)
12. Processing information in neural populations (2)
13. Interactivity in the brain
14. How neural activity represents information
15. Characterizations of visual cortex neurons
16. Maps in visual cortex
17. Topographic representation
18. Representation in higher order cortical areas
19. Representation in inferotemporal cortex
20. Similarity structure of activity patterns
21. Neuron for each object?
22. Macrostructure of mind and brain
23. Primary, secondary and tertiary brain areas
24. Short-circuits at lower levels
25. Luria's dynamic functional system
26. Marco architecture: what vs. where / how
27. Goals and task constraints affect processing
28. Semantic processing
29. Neurons learn to represent and process info.
30. An associative neural network
31. Hebb's postulate and other learning rules
32. Concluding remarks
33. What we know, what we don't know
34. Conclusion

Topics Covered

• Cognitive neuroscience introduction
• Basis of mental processes
• Neurons and synapses
• Synaptic integration and action potentials- Representation of information in neurons and populations of neurons
• Processing of information in neural populations
• Interactive processing
• Macro organization of mental functions
• Learning as adjustment of strengths of neuronal connections
• What we know and what we don't know

Links

Series:

• Cognitive Neuroscience

Categories:

• Neuroscience

Therapeutic Areas:

• Neurology

Talk Citation

Publication History

• Published on January 31, 2013
• Updated on July 8, 2020

Financial Disclosures

• Prof. James McClelland has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.

Update Available

The speaker addresses developments since the publication of the original talk. We recommend listening to the associated update as well as the lecture.

1. Embed full lecture Full lecture Duration: 68:30 min Embed full lecture
2. Embed Update Interview Update Interview Duration: 13:05 min Embed Update Interview