Topic: resting-state activity

Neurons in the brain are wired into adaptive networks that exhibit a range of collective dynamics. Oscillations, for example, are paradigmatic synchronous patterns of neural activity with a defined temporal scale. Neuronal avalanches, in contrast, do not show characteristic spatial and temporal scales, and are often considered as evidence of brain tuning to quasi-criticality. While models have been developed to account for oscillations or neuronal avalanches separately, they typically do not explain both phenomena, are too complex to analyze analytically, or intractable to infer from data

The cerebral cortex is known to follow a hierarchical organization, which supports information processing and ultimately determines behavior. The hierarchy has been observed in brain connectivity and cytoarchitecture, as well as the timescale of spiking activity. However, whether further dynamical features of cortical activity follow a hierarchical organization remains an open question.To address this question, we measured single-neuron statistics from the resting-state activity of macaque neocortex (N=6) from several cortical areas (V1, V4, DP, 7A, M1, PMd, vlPFC). We found some non-systemati

Zebrafish is extensively used for investigating fundamental principles underlying the assembly and the function of the vertebrate brain, most commonly for the study of sensory-motor computations in larval zebrafish midbrain and hindbrain. Accumulating evidence has shown that juvenile and adult zebrafish can perform cognitively demanding tasks such as spatial learning, working memory and social behaviors. Some of these complex behaviors were attributed to distinct forebrain lesions in teleosts, and a few genetic ablations in zebrafish. However, the link between the zebrafish forebrain and verte