Explore the fascinating world of neuroscience and computational models in this comprehensive lecture on circuits for intelligence. Delve into the intricacies of neurons, their various shapes, and communication methods through synapses. Examine different neuron models, from simple leaky integrate-and-fire to the complex Hodgkin-Huxley model. Discover diverse methods for studying the brain, including lesion studies, visual illusion perception, and single neuron recordings. Investigate the role of face recognition in social perception and computation. Gain insights into how researchers interrogate neural circuits in the human brain, bridging the gap between biological and artificial intelligence.
Overview
Syllabus
Intro
Neuroscience: Neurons and Models
Biologically-inspired computation
Why study neural circuits?
Recommended books
Brodmann areas
The neuron
Neurons come in a variety of shapes
An equivalent electrical circuit
Communication between neurons: The Synapse
A nested family of single neuron models
Neuronal cable
Geometrically accurate models vs. spherical cows with point masses
The leaky integrate-and-fire model
Leaky 1&F neurons: A simple implementation
The Hodgkin-Huxley Model
Methods to study the brain at different scales
Studying the brain by examining lesions
Studying perception of visual illusions
Recording physiological activity
Single neuron recordings in macaque monkey inferior temporal cortex
Electrical stimulation
Faces: from recognition to invariance to social perception to computation
We can interrogate neural circuits in the human brain
Taught by
MITCBMM
