Structure¶
- Scala et al. (2023) “Phenotypic variation of transcriptomic cell types in mouse motor cortex”
- Chandrasekhar and Navlakha (2019) “Neural arbors are Pareto optimal”
- Jones and Kording (2021) “Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?”
Function¶
- Mensi et al. (2012) “Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms”
- Perez-Nieves et al. (2021) “Neural heterogeneity promotes robust learning”
Abstract neuron models¶
- LaFosse et al. (2023) “Single cell optogenetics reveals attenuation-by-suppression in visual cortical neurons”
- Mainen and Sejnowski (1995) “Reliability of Spike Timing in Neocortical Neurons”
- Brette and Guigon (2003) “Reliability of Spike Timing Is a General Property of Spiking Model Neurons”
- Salaj et al. (2021) “Spike frequency adaptation supports network computations on temporally dispersed information”
- Allen Institute Cell Types Database
- Gutkin and Zeldenrust (2014) “Spike frequency adaptation”
- Gerstner and Brette (2009) " Adaptive exponential integrate-and-fire model"
- Gerstner et al. (2014) “Neuronal Dynamics” - Part 1 Foundations of Neuronal Dynamics
- Biological neuron models - good Wikipedia article
Biophysical neuron models¶
- Hodgkin and Huxley (1952) “A quantitative description of membrane current and its application to conduction and excitation in nerve”
- Gerstner et al. (2014) “Neuronal Dynamics” - Chapter 2 Ion Channels and the Hodgkin-Huxley Model
- Gerstner et al. (2014) “Neuronal Dynamics” - Chapter 3 Dendrites and Synapses
- Pagkalos et al. (2023) “Leveraging dendritic properties to advance machine learning and neuro-inspired computing”
- Dendrify
- Scala, F., Kobak, D., Bernabucci, M., Bernaerts, Y., Cadwell, C. R., Castro, J. R., Hartmanis, L., Jiang, X., Laturnus, S., Miranda, E., Mulherkar, S., Tan, Z. H., Yao, Z., Zeng, H., Sandberg, R., Berens, P., & Tolias, A. S. (2020). Phenotypic variation of transcriptomic cell types in mouse motor cortex. Nature, 598(7879), 144–150. 10.1038/s41586-020-2907-3
- Chandrasekhar, A., & Navlakha, S. (2019). Neural arbors are Pareto optimal. Proceedings of the Royal Society B: Biological Sciences, 286(1902), 20182727. 10.1098/rspb.2018.2727
- Jones, I. S., & Kording, K. P. (2021). Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree? Neural Computation, 33(6), 1554–1571. 10.1162/neco_a_01390
- Mensi, S., Naud, R., Pozzorini, C., Avermann, M., Petersen, C. C. H., & Gerstner, W. (2012). Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of Neurophysiology, 107(6), 1756–1775. 10.1152/jn.00408.2011
- Perez-Nieves, N., Leung, V. C. H., Dragotti, P. L., & Goodman, D. F. M. (2021). Neural heterogeneity promotes robust learning. Nature Communications, 12(1). 10.1038/s41467-021-26022-3