Topic: predictive power

Due to the size and opacity of vertebrate brains, it has until now been impossible to simultaneously image neuronal circuits at cellular resolution across the entire adult brain. Thus, any recording is an implicit subsampling of the total activity, be it by local averaging (e.g. mesoscopic calcium imaging, fMRI), local sampling (e.g.multi-photon microscopy), or spatially distributed sparse sampling (e.g. electrode arrays). Understanding the precise relationship between these different sampling strategies has been a major challenge in neuroscience. Importantly, it is unknown how to trade off th

Neural responses throughout the auditory pathway show tuning for modulations in a time-frequency representation of sound, but how these spectrotemporal modulations are encoded in the human auditory cortex remains poorly understood. Classical, linear spectrotemporal receptive field (STRF) models are simple to understand and fit but have limited predictive power, particularly for complex natural sounds in non-primary regions of the human auditory cortex. We measured responses to a diverse set of natural sounds using spatiotemporally precise intracranial recordings from human neurosurgical patien

The promise of fMRI to detect robust inter-individual differences in health and behavioural outcomes and its potential use as a biomarker has been increasingly called into question. In a recent study (Hoeppli et al., 2022), the authors argued that, in the context of pain perception, fMRI was sensitive to small differences in applied noxious stimuli within an individual, but failed at predicting inter-individual differences. Here, we test in six studies whether this absent predictive power can be restored by accounting for inter-individual variance and the use of clearly distinguishable experim