1_13_09_Introduction

1_13_09_Introduction - Suppose you had recordings for all...

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An example of a recognition model postulates object representation as spatial arrangements among view-invariant parts (Geons).
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Is this level of understanding enough to grasp the brain?
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No! Neurons constrain computations and so, we want to understand neural implementation.
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Some cells in the Inferior Temporal cortex are selective to shapes that resemble geons!
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One finds sub-regions preferring different types of objects.
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How do they do it?
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Neurons have complex structures, and vary across brain areas and across functions.
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An example of a model of a dendritic tree considers membrane segments with time- dependent conduct- ances.
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Not only is the neural structure complex but the physiology, too, even in single neurons.
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Unformatted text preview: Suppose you had recordings for all neurons, would you know how we perceive things? Would we even know how the nonlinear voltages in this neuron arose? David Marrs three levels of understanding computations. Another level of complexity arises from circuits! This circuits function depend on nonlinear synaptic mechanisms. Different oscillations arise in this circuit, although individual neurons are simple. Summary ! To understand the brain, one must formulate computational theories and understand neural constraints. ! Marr expanded this notion to three levels of understanding, including representation as an intermediate step. ! Another level of complexity arises by interactions in neural networks....
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1_13_09_Introduction - Suppose you had recordings for all...

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