TY - JOUR
T1 - The computational rules of cross-modality suppression in the visual posterior sylvian area
AU - Zhao, Bin
AU - Wang, Rong
AU - Zhu, Zhihua
AU - Yang, Qianli
AU - Chen, Aihua
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/6/16
Y1 - 2023/6/16
N2 - The macaque visual posterior sylvian area (VPS) is an area with neurons responding selectively to heading direction in both visual and vestibular modalities, but how VPS neurons combined these two sensory signals is still unknown. In contrast to the subadditive characteristics in the medial superior temporal area (MSTd), responses in VPS were dominated by vestibular signals, with approximately a winner-take-all competition. The conditional Fisher information analysis shows that VPS neural population encodes information from distinct sensory modalities under large and small offset conditions, which differs from MSTd whose neural population contains more information about visual stimuli in both conditions. However, the combined responses of single neurons in both areas can be well fit by weighted linear sums of unimodal responses. Furthermore, a normalization model captured most vestibular and visual interaction characteristics for both VPS and MSTd, indicating the divisive normalization mechanism widely exists in the cortex.
AB - The macaque visual posterior sylvian area (VPS) is an area with neurons responding selectively to heading direction in both visual and vestibular modalities, but how VPS neurons combined these two sensory signals is still unknown. In contrast to the subadditive characteristics in the medial superior temporal area (MSTd), responses in VPS were dominated by vestibular signals, with approximately a winner-take-all competition. The conditional Fisher information analysis shows that VPS neural population encodes information from distinct sensory modalities under large and small offset conditions, which differs from MSTd whose neural population contains more information about visual stimuli in both conditions. However, the combined responses of single neurons in both areas can be well fit by weighted linear sums of unimodal responses. Furthermore, a normalization model captured most vestibular and visual interaction characteristics for both VPS and MSTd, indicating the divisive normalization mechanism widely exists in the cortex.
KW - Biocomputational method
KW - Sensory neuroscience
UR - https://www.scopus.com/pages/publications/85161351931
U2 - 10.1016/j.isci.2023.106973
DO - 10.1016/j.isci.2023.106973
M3 - 文章
AN - SCOPUS:85161351931
SN - 2589-0042
VL - 26
JO - iScience
JF - iScience
IS - 6
M1 - 106973
ER -