Imre Vida

TL;DR: Experimental analysis in the hippocampus and the neocortex and computational analysis suggests that synaptic specialization turns interneuron networks into robust gamma frequency oscillators.

TL;DR: An interneuron network model based on experimentally determined properties was able to generate oscillatory activity with higher coherence over a broad range of frequencies (20–110 Hz), and high coherence and flexibility in frequency control emerge from the combination of synaptic properties, network structure, and electrical coupling.

TL;DR: Simultaneous recordings from dendrites and somata suggested that action potential initiation occurs preferentially in the axon with long threshold stimuli, but can be shifted to somatodendritic sites when brief stimuli are applied.

TL;DR: In these neurons, a class of calcium-mediated dendritic action potentials whose waveform and effects on neuronal output have not been previously described are discovered, which enabled the dendrites of individual human neocortical pyramidal neurons to classify linearly nonseparable inputs—a computation conventionally thought to require multilayered networks.

TL;DR: It is shown that GABA(A) receptor-mediated inhibition in mature interneurons of the hippocampal dentate gyrus is shunting rather than hyperpolarizing, which may confer increased robustness to gamma oscillations in the brain.