SenseLab

Computational model (s) having Abstract integrate-and-fire neuron as More Cells


 
Name
1 A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)
2 A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)
3 eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020)
4 First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
5 Growth Rules for Repair of Asynch Irregular Networks after Peripheral Lesions (Sinha et al 2021)
6 Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
7 Kernel method to calculate LFPs from networks of point neurons (Telenczuk et al 2020)
8 Locus Coeruleus blocking model (Chowdhury et al.)
9 Long & short-term history effects in a spiking network model of statistical learning (Maes et al 23)
10 Mechanisms for pattern specificity of DBS in Parkinson's disease (Velarde et al 2017)
11 Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018)
12 Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021)
13 Response to correlated synaptic input for HH/IF point neuron vs with dendrite (Górski et al 2018)
14 Robust modulation of integrate-and-fire models (Van Pottelbergh et al 2018)