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Topic: Voltage-Dependent Pathway Model

Seminar
1 seminar
ePoster
1 ePoster

In Biology and Biophysics

Seminar · Computational Neuroscience

NMC4 Short Talk: Systematic exploration of neuron type differences in standard plasticity protocols employing a novel pathway based plasticity rule

Patricia Rubisch (she/her) · University of Edinburgh

Thu, Dec 2, 2021 · 08:15 UTC

Spike Timing Dependent Plasticity (STDP) is argued to modulate synaptic strength depending on the timing of pre- and postsynaptic spikes. Physiological experiments identified a variety of temporal kernels: Hebbian, anti-Hebbian and symmetrical LTP/LTD. In this work we present a novel plasticity model, the Voltage-Dependent Pathway Model (VDP), which is able to replicate those distinct kernel types and intermediate versions with varying LTP/LTD ratios and symmetry features. In addition, unlike previous models it retains these characteristics for different neuron models, which allows for compari

ePoster · Computational Neuroscience

The influence of the membrane potential on inhibitory regulation of plasticity predictions and learned representations

Patricia Rubisch, Melanie Stefan, Matthias Hennig · Bernstein Conference 2024

While inhibition is a building block of biological neural networks, its role in synaptic plasticity is yet to be fully understood. So far its role has only been addressed in rate and spike-timing based models (Wilmes et al., 2016; Agnes & Vogels,2024; Miehl & Gjorgijeva, 2022). Yet, experimental results show that the hyperpolarising effect of inhibition on the sub-threshold membrane potential can alter the expression of plasticity at excitatory synapses (Hayama et al. 2013; Paille et al. 2013). To address this gap, we explore the effects of inhibition in three voltage-dependent models: the vol