A large and growing volume of experimental data have shown that during action and perception there are increases in synchronized spiking activities in the cortical areas accompanied by neural oscillations of different bandwidths. Similar as in cortical networks, oscillations can occur in artificial neural networks, however their functional role has not yet been elucidated.
We regard spiking activities often as stochastic in nature when knowledge about actions or stimulus characteristics is missing. In contrast, activities in resting states may be interpreted as priors. Stochastic activity in sensory input spiking reflects a high entropy and opens the window for information storage by reducing entropy. Contributions to a recent Frontiers Research Topic “Understanding the Importance of Temporal Coupling of Neural Activities in Information Processing Underlying Action and Perception” suggest that synchronization of neural activities can lead to information flow in specific circuits and a subsequent reduction of entropy in neural activities.
This Research Topic seeks contributions from researchers working in different disciplines, which will shed light on the role of synchronization of brain activities by oscillation or other temporal links. Various aspects of neural spiking patterns, which include but are not limited to entropy, mutual information, and correlation may be the core of the analysis. Manuscripts based on computational models, pharmacological studies, clinical cases, imaging studies, and psychophysics are also welcome.
A large and growing volume of experimental data have shown that during action and perception there are increases in synchronized spiking activities in the cortical areas accompanied by neural oscillations of different bandwidths. Similar as in cortical networks, oscillations can occur in artificial neural networks, however their functional role has not yet been elucidated.
We regard spiking activities often as stochastic in nature when knowledge about actions or stimulus characteristics is missing. In contrast, activities in resting states may be interpreted as priors. Stochastic activity in sensory input spiking reflects a high entropy and opens the window for information storage by reducing entropy. Contributions to a recent Frontiers Research Topic “Understanding the Importance of Temporal Coupling of Neural Activities in Information Processing Underlying Action and Perception” suggest that synchronization of neural activities can lead to information flow in specific circuits and a subsequent reduction of entropy in neural activities.
This Research Topic seeks contributions from researchers working in different disciplines, which will shed light on the role of synchronization of brain activities by oscillation or other temporal links. Various aspects of neural spiking patterns, which include but are not limited to entropy, mutual information, and correlation may be the core of the analysis. Manuscripts based on computational models, pharmacological studies, clinical cases, imaging studies, and psychophysics are also welcome.