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Topic: spiking rate

Seminar
2 seminars

In Computational Neuroscience and Electrophysiology

Seminar · Computational Neuroscience

Noise-induced properties of active dendrites

Farzada Farkhooi · Humboldt University Berlin

Wed, Nov 17, 2021 · 05:00 UTC

Neuronal dendritic trees display a wide range of nonlinear input integrations due to their voltage-dependent active calcium channels. We reveal that in vivo-like fluctuating input enhances nonlinearity substantially in a single dendritic compartment and shifts the input-output relation to exhibiting nonmonotonous or bistable dynamics. In particular, with the slow activation of calcium dynamics, we analyze noise-induced bistability and its timescales. We show bistability induces long-timescale fluctuation that can account for observed dendritic plateau potentials in vivo conditions. In a multic

Seminar · Neuroscience

Adaptive bottleneck to pallium for sequence memory, path integration and mixed selectivity representation

André Longtin · University of Ottawa

Wed, Nov 10, 2021 · 16:00 UTC

Spike-driven adaptation involves intracellular mechanisms that are initiated by neural firing and lead to the subsequent reduction of spiking rate followed by a recovery back to baseline. We report on long (>0.5 second) recovery times from adaptation in a thalamic-like structure in weakly electric fish. This adaptation process is shown via modeling and experiment to encode in a spatially invariant manner the time intervals between event encounters, e.g. with landmarks as the animal learns the location of food. These cells also come in two varieties, ones that care only about the time since the