Dynamics of population coding for object views following object discrimination training

Yamaguchi, Reona; Okamura, Jun-ya; Wang, Gang

doi:10.1016/j.neuroscience.2016.05.039

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…We previously analyzed temporal change of correlation coefcient (r) between the population activities in response to two different stimulus images, and evaluated neural distance by subtracting r from 1. We found that after acquiring discrimination experience of similar objects across viewing angles, the neural distance (1 − r) of the populations of the IT cells between the same objects were signi cantly smaller than those between the different objects at viewing angle differences of up to 90 [10]. Our previous results depended on the counts averaged over the entire 500 ms period for stimulus presentation.…”

Section: Introductionmentioning

confidence: 65%

“…The proposed method was applied to analyze the dynamics of the changes of the stimulus evoking the largest responses in single IT cells after extensive object discrimination learning. The data used here was obtained in our previous experiments [10][11][12], in which we created object sets and familiarized the monkeys with object images in the Object task before electrode recording.…”

Section: Applicationmentioning

confidence: 99%

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Dynamics of Stimulus Selectivity in Inferotemporal Neurons

Dai

Okamura

Wang

2020

ABE

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Neuroscientists usually investigate stimulus selectivity by using a stimulus set and identifying the stimulus that evokes the largest electrophysiological responses averaged over a certain time period. However, the visual environment, and hence the brain activity, changes all the time. A method with suf ciently high temporal resolution for the investigation of dynamic changes in stimulus selectivity is desired. Here, we propose a method by dividing the usual time window for spike rate calculation into multiple smaller time windows. We applied this method to the analysis of temporal change in stimulus selectivity of inferotemporal (IT) cells in macaque monkey recorded previously using microelectrode while they were performing an object discrimination task, in which one object had to be discriminated from others regardless of change in viewing angle. The IT cortex is located at the last stage of the ventral cortical pathway, and is important for object recognition and discrimination. The proposed method theoretically possesses temporal resolution in millisecond order. We demonstrated its ability by following the changes in stimulus selectivity with temporal resolution as high as 20 ms. Furthermore, we divided the response time window into early phase and late phase. In each phase, single cell responses to images (4 objects × 4 views; 16 images in each of the stimulus set) were compared to identify the stimulus evoking the largest response. When comparing the early and late phases, 40% of the cells showed the largest response to the same stimulus (same object and same viewing angle); 13% of the cells showed the largest response to the same object but at different viewing angles; 20% of the cells showed the largest response to different objects at the same viewing angle; and 20% of the cells showed the largest response to different objects at different viewing angles. The dynamic change of stimulus selectivity from early phase to late phase may provide important information about the underlying neuronal mechanism for object recognition. Successful application of the proposed method to the analysis of IT cell activity demonstrates the validity and usefulness of the method.

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Section: Introductionmentioning

confidence: 65%

Section: Applicationmentioning

confidence: 99%

Dynamics of Stimulus Selectivity in Inferotemporal Neurons

Dai

Okamura

Wang

2020

ABE

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Object discrimination performance and dynamics evaluated by inferotemporal cell population activity

Wang

Dai

Okamura

et al. 2021

IBRO Neuroscience Reports

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We have previously reported an increase in response tolerance of inferotemporal cells around trained views. However, an inferotemporal cell usually displays different response patterns in an initial response phase immediately after the stimulus onset and in a late phase from approximately 260 ms after stimulus onset. This study aimed to understand the difference between the two time periods and their involvement in the view-invariant object recognition. Responses to object images with and without prior experience of object discrimination across views, recorded by microelectrodes, were pooled together from our previous experiments. With a machine learning algorithm, we trained to build classifiers for object discrimination. In the early phase, the performance of classifiers created based on data of responses to the object images with prior training of object discrimination across views did not significantly differ from that based on data of responses to the object images without prior experience of object discrimination across views. However, the performance was significantly better in the late phase. Furthermore, compared to the preferred stimulus image in the early phase, we found 2/3 of cells changed their preference in the late phase. For object images with prior experience of training with object discrimination across views, a significant higher percentage of cells responded in the late phase to the same objects as in the early phase, but under different views. The results demonstrate the dynamics of selectivity changes and suggest the involvement of the late phase in the view-invariant object recognition rather than that of the early phase.

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Long-term Object Discrimination at Several Viewpoints Develops Neural Substrates of View-invariant Object Recognition in Inferotemporal Cortex

Zhao

Wang

2018

Neuroscience

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Dynamics of population coding for object views following object discrimination training

Cited by 6 publications

References 35 publications

Dynamics of Stimulus Selectivity in Inferotemporal Neurons

Dynamics of Stimulus Selectivity in Inferotemporal Neurons

Object discrimination performance and dynamics evaluated by inferotemporal cell population activity

Long-term Object Discrimination at Several Viewpoints Develops Neural Substrates of View-invariant Object Recognition in Inferotemporal Cortex

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