Eyal G et al. (2018). Human Cortical Pyramidal Neurons: From Spines to Spikes via Models. Frontiers in cellular neuroscience. 12 [PubMed]

• Comprehensive models of human cortical pyramidal neurons (Eyal et al 2018) [Model]

Hituri K, Linne ML. (2013). Comparison of models for IP3 receptor kinetics using stochastic simulations. PloS one. 8 [PubMed]

• IP3R model comparison (Hituri and Linne 2013) [Model]

Iavarone E et al. (2019). Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons. PLoS computational biology. 15 [PubMed]

• Thalamocortical relay neuron models constrained by experiment and optimization (Iavarone et al 2019) [Model]

Magalhães B, Hines M, Sterling T, Schüermann F. (2019). Exploiting Flow Graph of System of ODEs to Accelerate the Simulation of Biologically-Detailed Neural Networks 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

• Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks (Magalhaes et al 2019) [Model]

Podlaski WF et al. (2017). Mapping the function of neuronal ion channels in model and experiment. eLife. 6 [PubMed]

Schwarzacher SW, Cuntz H, Jedlicka P, Beining M, Mongiat LA. (2017). T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells eLife.

• GC model (Beining et al 2017) [Model]
• Mature and young adult-born dentate granule cell models (T2N interface) (Beining et al. 2017) [Model]

Soudry D, Meir R. (2014). The neuronal response at extended timescales: a linearized spiking input-output relation. Frontiers in computational neuroscience. 8 [PubMed]

• Method for deriving general HH neuron model`s spiking input-output relation (Soudry & Meir 2014) [Model]