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The brain ensures that blinks do not disrupt vision by deleting signals that represent discontinuities in visual input, rather than by recreating the missing input.

Electrical and biomechanical stimuli directly bias cortical signal transduction and cytoskeletal waves, and the direct bias induced by an electric field develops slowly compared to the rapid surface-receptor-mediated response to chemotactic gradients.

Motor signs of Parkinson’s disease such as tremor and bradykinesia are independently expressed and exhibit distinct signatures of neural activity that can independently decoded from subthalamic and cortical recordings using interpretable machine learning.

Signals from different tactile submodalities are integrated optimally to culminate in cortical responses whose rate and timing conveys stimulus information.

Computational models of musical structure reveal cortical encoding of pitch and rhythm expectations during naturalistic music listening.

Topographic maps can gradually increase the fidelity of sensory representations and improve signal-to-noise ratio across multiple cortical circuits, a generic architectural feature that depends solely on the modularity of topographic projections and recurrent inhibition.

The glycinergic neurons of the cerebellar nuclei project extensively to the cerebellar cortex and inhibit GABAergic Golgi cells.

Activating deeper layers of the cortex using cortical electrical stimulation triggers the activation of thalamic nuclei through trans-synaptic signaling, which can result in a range of complex responses that can be detected using EEG signals.

Gamma-band synchronization behavior in area V1 was predicted by weakly coupled oscillator principles.