04 Neural Processing(2) - 1 Neural Processing WEEK 4 2...

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9/22/2016 1 Neural Processing WEEK 4 Lecture outline Neural representation Specificity Coding Distributed Coding Sparse Coding Feature Detection Lateral Inhibition Receptive Fields Visual Receiving Selective adaptation & rearing Experience-dependent plasticity Visual processing Visual scenes make sense Foreground Background Subject Objects Features When scenes don’t make sense (irregularity) Look at them longer Until you give up Until it makes sense Semantic irregularity Perceptual irregularity Visual processing The perceptual system Process incoming information UNTIL it makes sense to you AND/OR UNTIL you do something. 1 2 3 4 5 6
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9/22/2016 2 Each stimulus must be represented as a neural code Calculation in the sensory organs “Low level processing” Calculation in the cerebral cortex “High level processing” Recognition Neural Representation Neural (Sensory) Code The pattern of neuron activity which represents any given stimulus (scene, object, idea, action etc.) in part or in whole. Neural Representation Neuronal information is in frequency of firing Distributed Coding Specificity Coding Sparse coding Distributed Coding The neural representation of a stimulus by the pattern of activation across many neurons. E Pluribus, Unum. Distributed Coding Many neurons in the brain! Face detection Feature detection Knowledge Intention Communication Stimuli are represented by a specific pattern. Specificity Coding Representation achieved by one neuron 7 8 9 10 11 12 13
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9/22/2016 3 Exclusive Invariant Konorski & Lettvin (1967) Grandmother cell Quiroga et al. (2005; 2008) Um… yes and no.
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