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Topic: dendritic plateau potentials

Seminar
1 seminar
ePoster
1 ePoster

In Biophysics and Computational Neuroscience

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

ePoster · Computational Neuroscience

The long and short of dendritic computation: Sequence processing with dendritic plateaus.

Pascal Nieters · Bernstein Conference 2024

The brain's ability to process information through temporal sequences of spiking activity is crucial for complex cognitive tasks. These sequences arise from both sensory inputs and inherent network dynamics, spanning multiple, dynamically changing timescales. For instance, the syllables in the word ‘com-pu-ter’ would produce spike pattern sequences with different timings when spoken slowly or quickly, yet the semantic meaning remains invariant. What matters is the rank order of the sequence elements. Recent biological findings[1] and computational models suggest that dendritic plateau potentia