Behabadi BF, Polsky A, Jadi M, Schiller J, Mel BW. (2012). Location-dependent excitatory synaptic interactions in pyramidal neuron dendrites. PLoS computational biology. 8 [PubMed]

• Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012) [Model]

Bilash OM, Chavlis S, Johnson CD, Poirazi P, Basu J. (2023). Lateral entorhinal cortex inputs modulate hippocampal dendritic excitability by recruiting a local disinhibitory microcircuit. Cell reports. 42 [PubMed]

• Hippocampal CA1 microcircuit model including somatic and dendritic inhibition (Bilash et al, 2023) [Model]

Bono J, Clopath C. (2017). Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level. Nature communications. 8 [PubMed]

• Modeling dendritic spikes and plasticity (Bono and Clopath 2017) [Model]

Frank AC et al. (2018). Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory. Nature communications. 9 [PubMed]

• Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018) [Model]

Hiratani N, Fukai T. (2017). Detailed Dendritic Excitatory/Inhibitory Balance through Heterosynaptic Spike-Timing-Dependent Plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

• Heterosynaptic Spike-Timing-Dependent Plasticity (Hiratani & Fukai 2017) [Model]

Hiratani N, Fukai T. (2018). Redundancy in synaptic connections enables neurons to learn optimally. Proceedings of the National Academy of Sciences of the United States of America. 115 [PubMed]

• A model of optimal learning with redundant synaptic connections (Hiratani & Fukai 2018) [Model]

Jones PW, Gabbiani F. (2012). Logarithmic compression of sensory signals within the dendritic tree of a collision-sensitive neuron. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

• LGMD Variability and logarithmic compression in dendrites (Jones and Gabbiani, 2012, 2012B) [Model]

Katona G et al. (2011). Roller Coaster Scanning reveals spontaneous triggering of dendritic spikes in CA1 interneurons. Proceedings of the National Academy of Sciences of the United States of America. 108 [PubMed]

• CA1 stratum radiatum interneuron multicompartmental model (Katona et al. 2011) [Model]

Lavzin M, Rapoport S, Polsky A, Garion L, Schiller J. (2012). Nonlinear dendritic processing determines angular tuning of barrel cortex neurons in vivo. Nature. 490 [PubMed]

• Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012) [Model]

Legenstein R, Maass W. (2011). Branch-specific plasticity enables self-organization of nonlinear computation in single neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Medan V, Mäki-Marttunen T, Sztarker J, Preuss T. (2018). Differential processing in modality-specific Mauthner cell dendrites. The Journal of physiology. 596 [PubMed]

• Goldfish Mauthner cell (Medan et al 2017) [Model]

Park J et al. (2019). Contribution of apical and basal dendrites to orientation encoding in mouse V1 L2/3 pyramidal neurons Nature Communications. 10

• Orientation preference in L23 V1 pyramidal neurons (Park et al 2019) [Model]

Poleg-Polsky A. (2015). Effects of Neural Morphology and Input Distribution on Synaptic Processing by Global and Focal NMDA-Spikes. PloS one. 10 [PubMed]

• Effects of neural morphology on global and focal NMDA-spikes (Poleg-Polsky 2015) [Model]

Poleg-Polsky A. (2019). Dendritic spikes expand the range of well-tolerated population noise structures. The Journal of neuroscience : the official journal of the Society for Neuroscience. 39 [PubMed]

• Distinct integration properties of noisy inputs in active dendritic subunits (Poleg-Polsky 2019) [Model]

Rindner DJ, Proddutur A, Lur G. (2022). Cell-type specific integration of feedforward and feedback synaptic inputs in the posterior parietal cortex Neuron. 110 [PubMed]

• Cell-type specific integration of feedforward and feedback synaptic inputs (Ridner et al, 2022) [Model]

Sadeh S, Clopath C, Rotter S. (2015). Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity. PLoS computational biology. 11 [PubMed]

• Functional balanced networks with synaptic plasticity (Sadeh et al, 2015) [Model]

Sadeh S, Clopath C, Rotter S. (2015). Processing of Feature Selectivity in Cortical Networks with Specific Connectivity. PloS one. 10 [PubMed]

• A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015) [Model]

Sadeh S, Rotter S. (2015). Orientation selectivity in inhibition-dominated networks of spiking neurons: effect of single neuron properties and network dynamics. PLoS computational biology. 11 [PubMed]

• Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015) [Model]

Smith SL, Smith IT, Branco T, Häusser M. (2013). Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo. Nature. 503 [PubMed]

• Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo (Smith et al 2013) [Model]

Ujfalussy BB, Makara JK, Lengyel M, Branco T. (2018). Global and Multiplexed Dendritic Computations under In Vivo-like Conditions. Neuron. 100 [PubMed]

• Global and multiplexed dendritic computations under in vivo-like conditions (Ujfalussy et al 2018) [Model]