Transfer entropy

Slower (e.g., beta) and faster (e.g., gamma) oscillatory bursts have been linked to multiplexed communication between neural populations in different directions [1], respectively relaying, in a predictive coding interpretation, top-down expectations and bottom-up prediction error signals [2], which target and originate from distinct cortical layers with different dominant frequencies [3]. However, this oscillatory-multiplexed routing theory presents several challenges. Multiplexed routing might occur indeed without need for distinct frequencies of operation [4]. Furthermore, phasic enhancement

The visual system processes vast amounts of information by internally weighting stimulus inputs based on their local features and behavioral relevance [1]. Although evidence shows that behavioral relevance influences stimulus saliency, it is not well understood how integrating stimulus and social information impacts perception and decision-making. Previous studies indicate that predicting others’ actions improves with real-time observation of their movements [3]. Additionally, game-theoretic simulations show that real-time feedback leads to leader-follower behavior, where one agent acts and t

…causal inference tools such as transfer entropy are employed to reconstruct structural connectivity from network activity data. However, the causal connectivity inferred may not always align with the network's underlying structural connectivity, leaving the interpretation of inferred causal connectivity open for further clarification. Specifically, the relationship be

…underlying mechanisms of information transfer in neural circuits. However, its interpretation is not always straightforward, and it can be masked by the presence of artifacts.We scrutinized calcium imaged data from in vitro neuronal cultures grown of PDMS-engineered patterns using a transfer entropy algorithm [1]. Initial analyses revealed the presence of spurious correlations which hampered the actual underlying network. The origin of these artifacts lays on the delicate interplay be

The connectivity between pairs of brain regions is commonly assessed through the measurement of phase coherence or the correlation of their amplitudes. Despite large evidence linking these measures to brain functions and cognitive processes, a consensus on the mechanistic relationship between both types of coupling modes is lacking. We investigated the hypothesis that a causal relation exists between both types of functional coupling across multiple cortical areas. To this end, we utilized a multisite approach to obtain a time-resolved definition of phase and amplitude coupling parameters. Ana

Understanding the causal connectivity within a network is crucial for unraveling its functional dynamics. However，the inferred causal connections are fundamentally influenced by the choice of causality measure employed, which may not always align with the actual structural connectivity of the network. The relationship between causal and structural connectivity, especially how different causality measures affect the inferred causal links, requires further exploration. In this talk, we examine nonlinear networks characterized by pulse signal outputs, such as spiking neural networks, using four p

The rodent medial prefrontal cortex (mPFC) is considered central in executive functioning and decision making, and from an anatomical perspective there is consensus that the mPFC is not a single homogenous structure. However, the nature of mPFC is more contentious in the functional domain, with disagreement as to whether mPFC is homogenous, or instead composed of multiple distinct subregions with distinct roles. To answer this question it is necessary to monitor activity across a wide swath of mPFC as rats actively engage prefrontal processing, and critically, to precisely identify the anatomi