T18_InvarObjRec_v2

25 b 0 15 a firing rate response 370 spikes s

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: erent single-unit response properties supporting invariant object recognition ta at the population level. In each subplot, th axis shows the values of some identity-p Position separabil P “Invariant” Clutter -1 0 0.25 B 0 15 A Firing rate Response 370 (spikes /s) Position FIG. 3 Fraction of neurons Invariance -0.5 V1, mean: 0.02 IT, mean: 0.68 0 60 V1 simulated ORTICAL NEURONS COPE WITH CLUTTER? 0 IT Neurons in IT are not “Invariant”; they are “Tolerant” 7. Summary of the goodness of d ferent single-unit response properties supporting invariant object recognition ta at the population level. In each subplot, th axis shows the values of some identity-p Position separabil “In P -1 0 “Tolerant” 0.25 B -0.5 0 0 0 “Invariant” Firing rate Response A (spikes /s) 370 Fraction of neurons V1 simulated V1, mean: 0.02 IT, mean: 0.68 60 15 IT 7. Summary ferent single-unit re Neurons in IT are not “Invariant”; they are “Tolerant” supporting invariant o at the population leve Clutter axi...
View Full Document

This note was uploaded on 09/08/2013 for the course BBB 217 taught by Professor Nicolerust during the Spring '12 term at UPenn.

Ask a homework question - tutors are online