Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex

Rolls, E.T. and Tovee, M.J. (1995) Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. Journal of Neurophysiology, 73 (2). pp. 713-726. ISSN 00223077

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Abstract

1. To analyze the selectivity and the sparseness of firing to visual stimuli of single neurons in the primate temporal cortical visual area, neuronal responses were measured to a set of 68 visual stimuli in macaques performing a visual fixation task. The population of neurons analyzed had responses that occurred primarily to faces. The stimuli included 23 faces, and 45 nonface images of real-world scenes, so that the function of this brain region could be analyzed when it was processing natural scenes. 2. The neurons were selected to meet the previously used criteria of face selectivity by responding more than twice as much to the optimal face as to the optimal nonface stimulus in the set. Application of information theoretic analyses to the responses of these neurons confirmed that their responses contained much more information about which of 20 face stimuli had been seen (on average 0.4 bits) than about which (of 20) nonface stimuli had been seen (on average 0.07 bits). 3. The sparseness of the representation of a scene or object provided by each of these neurons (which can be thought of as the proportion of stimuli to which the neuron responds, and which is fundamental to understanding the network operation of the system) can be defined as a = (Σ(i=1,n)r(i)/n)2/Σ(i=1,n)(r(i)/2/n) where r(i) is the firing rate to the ith stimulus in the set of n stimuli. The sparseness has a maximal value of 1.0. It was found that the sparseness of the representation of the 68 stimuli by each neuron had an average across all neurons of 0.65. This indicates a rather distributed representation. 4. If the spontaneous firing rate was subtracted from the firing rate of the neuron to each stimulus, so that the changes of firing rate, i.e., the responses of the neurons, were used in the sparseness calculation, then the 'response sparseness' had a lower value, with a mean of 0.33 for the population of neurons, or 0.60 if calculated over the set of faces. 5. Multidimensional scaling to produce a stimulus space represented by this population of neurons showed that the different faces were well separated in the space created, whereas the different nonface stimuli were grouped together in the space. 6. The information analyses and multidimensional scaling provided evidence that what was made explicit in the responses of these neurons was information about which face had been seen. Information about which nonface stimulus had been seen was not made explicit in these neuronal responses. These procedures provide an objective and quantitative way to show what is 'represented' by a particular population of neurons. 7. The response sparseness value obtained shows farther that this population provides a distributed representation of information about which face is being seen. This type of distributed representation is very efficient for fine discriminations between the members of a stimulus set: in this case, faces.

Additional Information:cited By 280 The final published version of this article can be accessed online at https://www.physiology.org/doi/abs/10.1152/jn.1995.73.2.713?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub%3Dpubmed
Keywords:brain mapping, nerve potential, quantitative assay, temporal cortex, visual cortex, Comparative Study, Electrophysiology, Face, Macaca mulatta, Neurons, Pattern Recognition, Visual
Subjects:C Biological Sciences > C800 Psychology
C Biological Sciences > C850 Cognitive Psychology
C Biological Sciences > C830 Experimental Psychology
Divisions:College of Social Science > School of Psychology
ID Code:24534
Deposited On:30 Jul 2018 08:14

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