Recurrence is needed to account for the sharper orientation-tuned surround suppression for oblique versus cardinal orientations

Surround suppression can reduce both the perceived contrast and the strength of V1 neuronal responses to stimuli within the classical receptive field when the neighboring surround is visually similar due to inhibitory neural interactions. Our previous study measured the orientation tuning curves of surround suppression and found that surround suppression was more broadly tuned around cardinal than oblique orientations, revealing an inverted oblique effect when compared to human orientation discrimination (Miao, Coggan, & Tong, VSS2023). Recent studies have demonstrated surround suppression in feedforward deep neural networks (DNN) optimized for object recognition (Pan et al., 2023). Here, we asked: Do DNNs show a similar inverted oblique effect in surround suppression orientation-tuning? We compared two types of models: a feedforward network (AlexNet) and a recurrent network (CORnet-RT). We presented these networks with both cardinal and oblique bandpass-filtered patterns to evaluate the magnitude of surround suppression across varying center-surround orientation differences (0-90˚). Stimuli with three different spatial frequency ranges and eight different target sizes were evaluated. While we found surround suppression in feedforward AlexNet’s intermediate layers, no stable inverted oblique effect was detected. Is recurrence necessary for the inverted oblique effect? We evaluated CORnet-RT, which contains four computational blocks with recurrent processing analogous to V1, V2, V4, and IT. In each block, the model implemented convolution, group normalization (GN), and ReLU during feedforward processing, followed by recurrent processing in which the output of an area's last time point was used for processing in the next cycle. We found that while the network revealed a general effect of orientation-tuned surround suppression in first processing step of the V1 block, the inverted oblique effect appeared only after recurrent processing. Taken together, our results reveal that surround suppression leads to a counterintuitive oblique effect that can be attributed to recurrent processing in the human visual system.

Authors

Institutions

Publication Details

Journal
Journal of Vision
Published
2024-09-15
DOI
https://doi.org/10.1167/jov.24.10.795
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recurrence is needed to account for the sharper orientation-tuned surround suppression for oblique versus cardinal orientations

Frank Tong, Hui-Yuan Miao
Journal of Vision
Optical measurement and interference techniques
article

Recurrence is needed to account for the sharper orientation-tuned surround suppression for oblique versus cardinal orientations

Frank Tong, Hui-Yuan Miao
article en

Abstract

Surround suppression can reduce both the perceived contrast and the strength of V1 neuronal responses to stimuli within the classical receptive field when the neighboring surround is visually similar due to inhibitory neural interactions. Our previous study measured the orientation tuning curves of surround suppression and found that surround suppression was more broadly tuned around cardinal than oblique orientations, revealing an inverted oblique effect when compared to human orientation discrimination (Miao, Coggan, & Tong, VSS2023). Recent studies have demonstrated surround suppression in feedforward deep neural networks (DNN) optimized for object recognition (Pan et al., 2023). Here, we asked: Do DNNs show a similar inverted oblique effect in surround suppression orientation-tuning? We compared two types of models: a feedforward network (AlexNet) and a recurrent network (CORnet-RT). We presented these networks with both cardinal and oblique bandpass-filtered patterns to evaluate the magnitude of surround suppression across varying center-surround orientation differences (0-90˚). Stimuli with three different spatial frequency ranges and eight different target sizes were evaluated. While we found surround suppression in feedforward AlexNet’s intermediate layers, no stable inverted oblique effect was detected. Is recurrence necessary for the inverted oblique effect? We evaluated CORnet-RT, which contains four computational blocks with recurrent processing analogous to V1, V2, V4, and IT. In each block, the model implemented convolution, group normalization (GN), and ReLU during feedforward processing, followed by recurrent processing in which the output of an area's last time point was used for processing in the next cycle. We found that while the network revealed a general effect of orientation-tuned surround suppression in first processing step of the V1 block, the inverted oblique effect appeared only after recurrent processing. Taken together, our results reveal that surround suppression leads to a counterintuitive oblique effect that can be attributed to recurrent processing in the human visual system.

Journal of VisionVol. 24(10)
Vanderbilt University (US)
Openalex Percentile: Top 84%
Optical measurement and interference techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.