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Printable Handouts
Navigable Slide Index
- Introduction
- Two perspectives for brain activity
- Lecture outline
- Basic principles of neural computation
- Circuit components of the mind: neurons
- Synapses: the connections between neurons
- Propagation of information via action potentials
- Scale of neural computation
- Grey matter, white matter and overall connectivity
- Neurons as 'perceptual predicates'
- Processing information in neural populations (1)
- Processing information in neural populations (2)
- Interactivity in the brain
- How neural activity represents information
- Characterizations of visual cortex neurons
- Maps in visual cortex
- Topographic representation
- Representation in higher order cortical areas
- Representation in inferotemporal cortex
- Similarity structure of activity patterns
- Neuron for each object?
- Macrostructure of mind and brain
- Primary, secondary and tertiary brain areas
- Short-circuits at lower levels
- Luria's dynamic functional system
- Marco architecture: what vs. where / how
- Goals and task constraints affect processing
- Semantic processing
- Neurons learn to represent and process info.
- An associative neural network
- Hebb's postulate and other learning rules
- Concluding remarks
- What we know, what we don't know
- 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
Talk Citation
McClelland, J. (2020, July 8). Cognitive neuroscience: emergence of mind from brain an introduction to the cognitive neuroscience series [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved October 6, 2024, from https://doi.org/10.69645/VZUF6146.Export Citation (RIS)
Publication History
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.
- Full lecture Duration: 68:30 min
- Update Interview Duration: 13:05 min
Cognitive neuroscience: emergence of mind from brain an introduction to the cognitive neuroscience series
A selection of talks on Neurology
Transcript
Please wait while the transcript is being prepared...
0:00
Hello and
welcome to Cognitive Neuroscience:
Emergence of Mind from Brain.
I'm Jay McClelland, and I'm the director
of the Stanford Center for Mind,
Brain and Computation.
This lecture is intended as an
introduction to the cognitive neuroscience
series of Henry Stewart talks.
0:20
In this lecture,
we'll ask the question: how does the brain
give rise to experience,
thought, and behavior?
One perspective on this question is the
view that the brain consists of a large
number of separate modules,
each essentially doing its own thing, for
example, there might be a module for
object recognition, another module for
the appreciation of music, and yet
another for understanding language.
The perspective that I'll take
in this lecture is different.
Our perspective is that our cognitive
abilities emerge from interactions of
neurons within and across brain areas.
Neurons may be specialized to
contribute certain special things to
particular aspects of our mental
functions, but in general,
they work in concert with many other
neurons in a large and diverse range of
brain areas to give rise to functions
such as the ones that I mentioned before.
1:16
Here is an outline for the lecture.
After the introduction
that we've just concluded,
we'll turn to building blocks and
basic principles of neural computation.
Next, we will consider how neural
activity represents information.
Then we'll consider
the macrostructure of mind and brain,
how functions are organized
across different brain areas.
In the last substantive section of the
lecture we'll consider how neurons learn
to represent and to process information.
Finally, I'll have some concluding
comments about what we know, and
what we don't know about mind and brain.
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