L7 - Stimulus Recognition Flashcards
LGN layered structure
6 layers
4 layers receive input from Parvocellular ganglion cells
2 layers receive input from Magnocellular ganglion cells
What type of input does the LGN have?
Monocular input
In the LGN which layers receive input from which eye?
Layers alternate input from each eye
- One layer receives input from contralateral eye
- Another layer receives input from ipsilateral eye
How is the LGN organised?
Retinotopically
What is the thalamic relay station in the LGN?
Ganglion cell axons make 1:1 connections with LGN projection neurons
Receptive fields of LGN neurons are similar to receptive fields of retinal ganglion cells
Where does the LGN receive 60% of its synaptic input from?
From the cortex
What are the two visual pathways in the cortex?
Ventral
Dorsal
What is the ventral visual pathway?
What
Object feature stream
Inferior temporal
What is the dorsal visual pathway?
Where
Spatial location stream
Posterior parietal
Ventral visual pathway method
- Parvocellular ganglion cell
- LGN Parvo
- V1 cortical area
- V2 cortical area
- V4 – cortical area
- Inferior temporal cortex – temporal pathway (what)
What two things increase along the ventral visual pathway?
Increase in complexity of responses of neurons along the ventral stream
Increase in the receptive field size of neurons along the ventral stream
What three things do we need to understand for object recognition?
Find single neurons (or population of neurons) that specifically respond to presentation of a specific object and understand their presynaptic neuronal circuits
Understand how activation of these neurons causes particular behavioural reactions
One neuron vs population of neurons
Example of understanding object recognition
Subject looks at an image of a particular object.
- Few neurons in higher cortical areas fire
- Stimulation of the same neurons causes perception of the same object
What is orientation invariance?
Can recognise objects in their natural orientation
Use this knowledge to recognise an unnatural orientation
What is scale invariance?
Can recognise objects independently on their size
Hierarchical model of object recognition
- Detection of edges
- Detection of edges and contours
- Detection of object parts
- Detection of objects from one point of view
- View-invariant object detection – e.g. particular person, a car
- Categorisation
What increases along the hierarchical model?
Increase in stimulus complexity