Uri T. Eden

TL;DR: A robust hippocampal representation of sequence memories is reported, highlighted by "time cells" that encode successive moments during an empty temporal gap between the key events, while also encoding location and ongoing behavior.

TL;DR: A statistical framework based on the point process likelihood function to relate a neuron's spiking probability to three typical covariates: the neuron's own spiking history, concurrent ensemble activity, and extrinsic covariates such as stimuli or behavior.

TL;DR: This work uses the Bayes' rule Chapman-Kolmogorov paradigm with a linear state equation and point process observation models to derive adaptive filters appropriate for estimation from neural spike trains and suggests a practical approach for constructing filtering algorithms to track neural receptive field dynamics on a millisecond timescale.

TL;DR: This work examined electrocorticogram data from a population of male and female human patients with epilepsy and constructed dynamic network representations using statistically robust measures, finding that these networks evolved through a distinct topological progression during the seizure.

TL;DR: Evidence is presented that seizures self-terminate via a discontinuous critical transition or bifurcation, which constrains the specific biophysical mechanisms underlying seizure termination, suggests a dynamical understanding of status epilepticus, and demonstrates an accessible system for studying critical transitions in nature.