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GO OVER THE SLIDE ABOUT NASAL AND LATERAL BC WTF??
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What is the Lateral Geniculate Nucleus (LGN)
Subcortical structure, first relay station between eyes and cortex
Takes information from the eye though long axons
They also have centre-surround receptive fields
How many layers are in an LGN
6
What makes the cells in the LGN monocular
Each layer gets inputs from only one eye
Retinotopic map
How neurons are arranged in LGN
Means the neighbouring relationships that exist in the retina (cells that sit next to each other) are retained in the LGN (stay in same organisation)
Layers 1 and 2 (of LGN)
Large cell bodies
Magnocellular layers
Receive input from M ganglion cells
High contrast sensitivity and low spatial resolution
Process coarse features and motion
Layers 3 to 6 (of LGN)
Small cell bodies
Parvocellular layers
Receive input from P ganglion cells
Low contrast sensitivity and high spatial resolution
Process fine features and colours
What does each layer of an LGN consist of
Each layer contains monocular cells that form a retinotopic map of half a visual field
What is the function of LGN
Still not fully understood but:
Richly connected to many other parts of the brain (vs. retina mainly connected to LGN and has no feedback i.e. input, only output)
A locus at which retinal information can be modulated by brain areas
More than just a relay station
What does the LGN project to
V1 (primary visual cortex)
What are most neurons in V1
Binocular, they receive input from both eyes (around 70%)
Where brain starts to form image
How is the retinotopic map in V1 distorted
Cortical magnification
More neurons dedicated to interpreting fovea than peripheral (centre of visual space is magnified)
Why do we not use the same amount of neurons for the whole visual field?
If we would have the same acuity as in fovea in the whole visual field, we would need eyes and brains multiple times the size of our skull
What is key to get a large visual field and high acuity (overcome limitations of peripheral vision)
Rapid eye movements
What do retinal ganglion cells/LGN neuron receptive fields respond best to
Spots of light
Receptive Fields in V1
Elongated receptive fields (the rectangle images for simple cells)
Respond best to lines, bars, and edges
Receptive fields → Ganglion cells/LGN → V1
Simple Cell Receptive Fields
Can appear different, but all respond to orientation
Orientation Tuning (and Size Tuning)
Cells respond (tuned) best to certain orientations, also tuned to size (thin or large bars)
Graded response
Some orientations that don’t stimulate the cell at all
What is activation of one signal cell always
Ambiguous
Why are populations of cells tuned to different orientations
It allows to disambiguate intensity (brightness) and orientation - features are coded in a population code (same basic code in facial perception but a bit simpler)
Why is the activation of one single cell always ambiguous
Optimal but faint stimulus activates cell EQUALLY as sub-optimal intense stimulus
Why population code is used
Complex cells
Don’t have positive/negative cell distinction, will respond the same wherever a light is shone on it
Hypercomplex Cells
If bar (of light) extends beyond cell, cell response starts to decline to baseline
Plays important role in object recognition