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Summary of single-trial spatiotemporal propagation directions for the medial array. (A and B) are for Monkey Bx and Ls, respectively. Top: polar scatter plot of propagation directions. Each dot is a single trial color-coded by reach direction. Angle represents propagation direction, while radius represents the associated R 2 . Black solid circle represents the threshold of significant R 2 values. Bottom: summary of propagation directions for significant trials of each reach direction. Angle of arrow represents the mean propagation direction, while the error bar represents the 68.27% CI for the mean.
Source publication
Propagating spatiotemporal neural patterns are widely evident across sensory, motor, and association cortical areas. However, it remains unclear whether any characteristics of neural propagation carry information about specific behavioral details. Here, we provide the first evidence for a link between the direction of cortical propagation and speci...
Contexts in source publication
Context 1
... the propagation characteristics of the lateral array and medial array were not isolated. The propagation speed in the medial array was correlated with the propagation speed in the lateral array for both monkeys (for Bx, Pearson correlation coefficient r = 0.377, P < 0.001, n = 248; for Ls, r = 0.473, P < 0.001, n = 415, see SI Appendix, Fig. S5, Top). Also, the median amplification times in the medial array were correlated with the median amplification times in the lateral array for both monkeys (for Bx, Pearson correlation coefficient r = 0.610, P < 0.001, n = 248; for Ls, r = 0.838, P < 0.001, n = 415, see SI Appendix, Fig. S5, Bottom). These results suggest that the ...
Context 2
... for Ls, r = 0.473, P < 0.001, n = 415, see SI Appendix, Fig. S5, Top). Also, the median amplification times in the medial array were correlated with the median amplification times in the lateral array for both monkeys (for Bx, Pearson correlation coefficient r = 0.610, P < 0.001, n = 248; for Ls, r = 0.838, P < 0.001, n = 415, see SI Appendix, Fig. S5, Bottom). These results suggest that the propagating patterns we examined in isolated arrays are part of a more global pattern that extends across the upper limb area of M1. SEM is standard error of mean. r is length of the mean resultant vector of angles, which is a measure of ...
Context 3
... use of a planar fit served as a local approximation to make propagations more tractable, but we acknowledge the possibility that this local pattern could be part of a larger pattern that might be more complex (e.g., rotary or spiral). In fact, when looking at both the lateral and medial arrays simultaneously, the speeds of the two propagating patterns were significantly correlated in both monkeys with the propagation speed of the medial array being approximately twice of that of the lateral array (SI Appendix, Fig. S5). Moreover, the amplification times across both arrays were significantly correlated in both monkeys. ...
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Citations
Intrinsic cortical activity forms traveling waves that modulate sensory-evoked responses and perceptual sensitivity. These intrinsic traveling waves (iTWs) may arise from the coordination of synaptic activity through long-range feature-dependent horizontal connectivity within cortical areas. In a spiking network model that incorporates feature-selective patchy connections, we observe iTW motifs that result from shifts in excitatory/inhibitory balance as action potentials traverse these patchy connections. To test whether feature-selective motifs occur in vivo, we examined data recorded in the middle temporal visual area (Area MT) of marmosets performing a visual detection task. We find that some iTWs form motifs that are feature selective, exhibiting direction-selective modulations in spiking activity. Further, motifs modulate the gain of target-evoked responses and perceptual sensitivity if the target matches the preference of the motif. These results suggest that iTWs are shaped by the patchy horizontal fiber projections in the cortex and can regulate neural and perceptual sensitivity in a feature-selective manner.
Intrinsic, ongoing fluctuations of cortical activity form traveling waves that modulate the gain of sensory-evoked responses and perceptual sensitivity. Several lines of evidence suggest that intrinsic traveling waves (iTWs) may arise, in part, from the coordination of synaptic activity through the recurrent horizontal connectivity within cortical areas, which include long range patchy connections that link neurons with shared feature preferences. In a spiking network model with anatomical topology that incorporates feature-selective patchy connections, which we call the Balanced Patchy Network (BPN), we observe repeated iTWs, which we refer to as motifs. In the model, motifs stem from fluctuations in the excitability of like-tuned neurons that result from shifts in E/I balance as action potentials traverse these patchy connections. To test if feature-selective motifs occur in vivo, we examined data previously recorded using multielectrode arrays in Area MT of marmosets trained to perform a threshold visual detection task. Using a newly developed method for comparing the similarity of wave patterns we found that some iTWs can be grouped into motifs. As predicted by the BPN, many of these motifs are feature selective, exhibiting direction-selective modulations in ongoing spiking activity. Further, motifs modulate the gain of the response evoked by a target and perceptual sensitivity to the target if the target matches the preference of the motif. These results provide evidence that iTWs are shaped by the patterns of horizontal fiber projections in the cortex and that patchy connections enable iTWs to regulate neural and perceptual sensitivity in a feature selective manner.
