Topic: Homeostatic mechanisms

This talk presents findings from open and closed-loop neural stimulation experiments using EEG. Fixed-frequency (10 Hz) stimulation revealed cross-cortical alpha power suppression post-stimulation, modulated by the difference between the individual's alpha frequency and the stimulation frequency. Closed-loop stimulation demonstrated phase-dependent effects: trough stimulation enhanced lower alpha activity, while peak stimulation suppressed high alpha to beta activity. These findings provide evidence for homeostatic mechanisms in the brain's response to photic stimulation, with implications for

Life can be easier if one knows the structure of the world, for instance, that a distant roar, a whiff of a heavy musky smell, and black stripes on orange background are caused by a single physical entity. Indeed, the question how such structures can be discovered by the neural networks of the brain has challenged neuroscientists for many decades. A key constraint is that central nervous systems must learn about the structure of the world from observing correlations within continuous streams of spikes that arrive from their sensory peripheries. Recently, a novel family of unsupervised spiking

During navigation, animals dynamically create rich representations of the environment, forming personalized cognitive maps. The hippocampal area CA1 features spatial cells that adapt based on behavior and internal states. Computational models have usually obtained spatial tuning by training a deep recurrent network for solving path integration, over numerous epochs, using backpropagation [1, 2, 3]. However, such methods do not closely align with the real-time local learning used by animals. Additionally, the formed spatial maps are solely oriented towards solving a specific task, and fail to c

Across species, neurons possess numerous ion channel types, with a single cell typically expressing tens of channel genes, which translate to hundreds or even thousands of channel protein types, each with different kinetics [1]. Moreover, maximal conductance densities across individuals are also highly variable and subject to neuromodulators which are essential for enabling the nervous system to switch between behaviorally relevant modes [2,3]. This raises the question of how neuromodulators can reliably induce changes in intrinsic neuronal properties across a heterogeneous population. At th