QuNex-An integrative platform for reproducible neuroimaging analytics
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It is important to consider the microstructure of a material when studying the macroscopic mechanical properties. Although special equipments have been used for micromechanics study through experimental tests, it is limited by instruments and reproducibili ...
Disappointment, the emotion experienced when faced to reward prediction errors (RPEs), considerably impacts decision making (DM). Individuals tend to modify their behavior in an often unpredictable way just to avoid experiencing negative emotions. Despite ...
Neural Metabolism In Vivo strives to offer a comprehensive and fundamental overview of cerebral metabolism by presenting leading-edge in vivo multimodal technology and its application in assessing neural activity, energy metabolism and neurotransmission in ...
To study the properties of human primary somatosensory (S1) cortex as well as its role in cognitive and social processes, it is necessary to noninvasively localize the cortical representations of the body. Being arguably the most relevant body parts for ta ...
Statistical models of neural activity are integral to modern neuroscience. Recently interest has grown in modeling the spiking activity of populations of simultaneously recorded neurons to study the effects of correlations and functional connectivity on ne ...
What is it like to have a body? The unitary experience of the self and the body accompanied by unambiguous self-location and egocentric visuo-spatial perspective are essential aspects of the embodied self. They play a vital role for dynamic whole body huma ...
A novel MEMS-based co-designed power amplifier is presented. To introduce the analysis and evaluate the impact of realistic on-chip losses, two design approaches are discussed and compared. Then the study of the novel circuit, based on the integration of h ...
This paper investigates the neural mechanisms of visuo-motor imitation in humans through convergent evidence from neuroscience. In particular, we consider a deficit in imitation following callosal brain lesion, based on the rational that looking at how imi ...
Measures of signal complexity can be used to distinguish neurophysiological activation from noise in those neuroimaging techniques where we record variations of brain activity with time, e.g., fMRI, EEG, ERP. In this paper we explore a recently developed a ...
A key challenge for neural modeling is to explain how a continuous stream of multimodal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrate-and-fire neurons in real time. We propose a new computationa ...
