traveling wave
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Predicting traveling waves: a new mathematical technique to link the structure of a network to the specific patterns of neural activity
A parsimonious description of global functional brain organization in three spatiotemporal patterns
Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly disparate insights into large-scale organization of the human brain. The brain’s large-scale organization can be divided into two broad categories: zero-lag representations of functional connectivity structure and time-lag representations of traveling wave or propagation structure. In this study, we sought to unify observed phenomena across these two categories in the form of three low-frequency spatiotemporal patterns composed of a mixture of standing and traveling wave dynamics. We showed that a range of empirical phenomena, including functional connectivity gradients, the task-positive/task-negative anti-correlation pattern, the global signal, time-lag propagation patterns, the quasiperiodic pattern and the functional connectome network structure, are manifestations of these three spatiotemporal patterns. These patterns account for much of the global spatial structure that underlies functional connectivity analyses and unifies phenomena in resting-state functional MRI previously thought distinct.
Revealing the neural basis of human memory with direct recordings of place and grid cells and traveling waves
The ability to remember spatial environments is critical for everyday life. In this talk, I will discuss my lab’s findings on how the human brain supports spatial memory and navigation based on our experiments with direct brain recordings from neurosurgical patients performing virtual-reality spatial memory tasks. I will show that humans have a network of neurons that represent where we are located and trying to go. This network includes some cell types that are similar to those seen in animals, such as place and grid cells, as well as others that have not been seen before in animals, such as anchor and spatial-target cells. I also will explore the role of network oscillations in human memory, where humans again show several distinctive patterns compared to animals. Whereas rodents generally show a hippocampal oscillation at ~8Hz, humans have two separate hippocampal oscillations, at low and high frequencies, which support memory and navigation, respectively. Finally, I will show that neural oscillations in humans are traveling waves, propagating across the cortex, to coordinate the timing of neuronal activity across regions, which is another property not seen in animals. A theme from this work is that in terms of navigation and memory the human brain has novel characteristics compared with animals, which helps explain our rich behavioural abilities and has implications for treating disease and neurological disorders.
Locally coupled oscillatory recurrent networks learn traveling waves and topographic organization
COSYNE 2023
Spontaneous neural fluctuations and traveling waves are coordinated topographically across cortical and subcortical areas
COSYNE 2023
Neural subspace communication across motor cortices is organized via traveling waves
COSYNE 2025
Nu-Wave State Space Models: Traveling waves as a biologically plausible context
COSYNE 2025
Planar, Spiral, and Concentric Traveling Waves Distinguish Cognitive States in Human Memory
COSYNE 2025
Traveling waves modulate neural excitability along the depth of macaque visual cortex
COSYNE 2025
Intrinsic traveling waves in extrastriate cortex improve target detection by increasing target-evoked and suppressing non-target population activity
FENS Forum 2024
traveling wave coverage
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