Complementary congruent and opposite neurons achieve concurrent multisensory integration and segregation
- Hong Kong University of Science and Technology
- Carnegie Mellon University, United States
- East China Normal University, China
- Institute of Neuroscience, Chinese Academy of Sciences, China
- Peking University, China
Figures
Figure 1 with 1 supplement
Multisensory integration and segregation.
(A) Multisensory integration versus segregation. Two underlying stimulus features and independently generate two noisy cues and , respectively. If the two cues are from the same stimulus, …
Figure 1—figure supplement 1
Cue disparity information is lost after integration.
(A) Cue information is lost after integration. The information of cue 1 decreases with the extent of integration, which is controlled by , measuring the correlation between and . (B) The …
Figure 2
Congruent and opposite neurons in MSTd.
Similar results were found in VIP (Chen et al., 2011). (A–B) Tuning curves of a congruent neuron (A) and an opposite neuron (B). The preferred visual and vestibular directions are similar in (A) but …
Figure 3
Geometric interpretation of multisensory processing of circular variables.
(A) Two von Mises distributions plotted in the polar coordinate (bottom-left) and their corresponding geometric representations (top-right). A von Mises distribution can be represented as a vector, …
Figure 4
The decentralized neural circuit model for multisensory processing.
(A) The network consists of two modules, which can be regarded as MSTd and VIP respectively. Each module has two groups of excitatory neurons, congruent (blue circles) and opposite neurons (red …
Figure 5
Tuning properties of congruent and opposite neurons in the network model.
(A–B) The tuning curves of an example congruent neuron (A) and an example opposite neuron (B) in module 1 under three cueing conditions. (C–D) The bimodal tuning properties of the example congruent …
Figure 6 with 2 supplements
Optimal cue integration and segregation collectively emerge in the neural population activities in the network model.
(A) Illustration of the population response of congruent neurons in module 1 when both cues are presented. Color indicates firing rate. Right panel is the temporal average firing rates of the neural …
Figure 6—figure supplement 1
Illustration of decoded joint distributions from congruent and opposite neurons.
Illustration of decoded joint distributions from congruent and opposite neurons respectively in two network modules under three cueing conditions, with the marginal distributions plotted in the …
Figure 6—figure supplement 2
Test of network’s performance.
Comparison of the mean and concentration of network’s estimate with theoretical prediction. (A-B) The mean (A) and the concentration (B) of the congruent neurons in two network modules versus the …
Figure 7
Concurrent multisensory processing with congruent and opposite neurons.
(A–B) Accessing integration versus segregation through the joint activity of congruent and opposite neurons. (A) The firing rate of congruent and opposite neurons exhibit complementary changes with …
Figure 8 with 1 supplement
Discrimination of cue disparity by single neurons.
(A) The tuning curve of an example congruent (blue) and opposite (red) neuron with respect to cue disparity . In the tuning with respect to cue disparity, the mean of two cues was always at 0°, …
Figure 8—figure supplement 1
Discrimination of heading direction by single neurons.
Discrimination of heading direction by single neurons. The directions of the two cues are always the same. (A and D) The tuning curve of the example congruent (A) and opposite (D) neurons with cue …
Additional files
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Transparent reporting form
- https://doi.org/10.7554/eLife.43753.014
