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• Excitability of PFC Basal Dendrites (Acker and Antic 2009) [Model]

Almog M, Korngreen A. (2014). A Quantitative Description of Dendritic Conductances and Its Application to Dendritic Excitation in Layer 5 Pyramidal Neurons The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

• Ionic mechanisms of dendritic spikes (Almog and Korngreen 2014) [Model]

Amatrudo JM et al. (2012). Influence of highly distinctive structural properties on the excitability of pyramidal neurons in monkey visual and prefrontal cortices. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

• Rhesus Monkey Layer 3 Pyramidal Neurons: V1 vs PFC (Amatrudo, Weaver et al. 2012) [Model]

Behabadi BF, Mel BW. (2014). Mechanisms underlying subunit independence in pyramidal neuron dendrites. Proceedings of the National Academy of Sciences of the United States of America. 111 [PubMed]

• Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014) [Model]

Ben-Shalom R et al. (2022). NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs Journal of neuroscience methods. 366 [PubMed]

• NeuroGPU example on L5_TTPC1_cADpyr232_1 (Ben-Shalom 2022)(Ramaswamy et al., 2015) [Model]

Bird AD, Cuntz H. (2016). Optimal Current Transfer in Dendrites. PLoS computational biology. 12 [PubMed]

Branco T, Clark BA, Häusser M. (2010). Dendritic discrimination of temporal input sequences in cortical neurons. Science (New York, N.Y.). 329 [PubMed]

• Dendritic Discrimination of Temporal Input Sequences (Branco et al. 2010) [Model]

Bush D, Barry C, Manson D, Burgess N. (2015). Using Grid Cells for Navigation. Neuron. 87 [PubMed]

• Models of Vector Navigation with Grid Cells (Bush et al., 2015) [Model]

Cohen MX. (2014). Fluctuations in oscillation frequency control spike timing and coordinate neural networks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

• Input strength and time-varying oscillation peak frequency (Cohen MX 2014) [Model]

Coskren PJ et al. (2015). Functional consequences of age-related morphologic changes to pyramidal neurons of the rhesus monkey prefrontal cortex. Journal of computational neuroscience. 38 [PubMed]

• Rhesus Monkey Layer 3 Pyramidal Neurons: Young vs aged PFC (Coskren et al. 2015) [Model]

Dan O, Hopp E, Borst A, Segev I. (2018). Non-uniform weighting of local motion inputs underlies dendritic computation in the fly visual system. Scientific reports. 8 [PubMed]

• Vertical system (VS) fly cells with biophysics (Dan et al 2018) [Model]

Dewell RB, Gabbiani F. (2019). Active membrane conductances and morphology of a collision detection neuron broaden its impedance profile and improve discrimination of input synchrony. Journal of neurophysiology. 122 [PubMed]

• LGMD impedance (Dewell & Gabbiani 2019) [Model]

Doiron B, Oswald AM, Maler L. (2007). Interval coding. II. Dendrite-dependent mechanisms. Journal of neurophysiology. 97 [PubMed]

Dorman DB, Jędrzejewska-Szmek J, Blackwell KT. (2018). Inhibition enhances spatially-specific calcium encoding of synaptic input patterns in a biologically constrained model. eLife. 7 [PubMed]

• Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018) [Model]

Du K et al. (2017). Cell-type-specific inhibition of the dendritic plateau potential in striatal spiny projection neurons. Proceedings of the National Academy of Sciences of the United States of America. 114 [PubMed]

• Specific inhibition of dendritic plateau potential in striatal projection neurons (Du et al 2017) [Model]

Edgerton JR, Hanson JE, Günay C, Jaeger D. (2010). Dendritic sodium channels regulate network integration in globus pallidus neurons: a modeling study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

• Globus pallidus neuron models with differing dendritic Na channel expression (Edgerton et al., 2010) [Model]

Ermentrout GB, Terman DH. (2010). Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics. 35

• Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010) [Model]

Eyal G et al. (2016). Unique membrane properties and enhanced signal processing in human neocortical neurons. eLife. 5 [PubMed]

• Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016) [Model]

Galati DF, Hiester BG, Jones KR. (2016). Computer Simulations Support a Morphological Contribution to BDNF Enhancement of Action Potential Generation. Frontiers in cellular neuroscience. 10 [PubMed]

• BDNF morphological contributions to AP enhancement (Galati et al. 2016) [Model]

Galloni AR, Laffere A, Rancz E. (2020). Apical length governs computational diversity of layer 5 pyramidal neurons. eLife. 9 [PubMed]

• Apical Length Governs Computational Diversity of Layer 5 Pyramidal Neurons (Galloni et al 2020) [Model]

Gidon A, Segev I. (2012). Principles governing the operation of synaptic inhibition in dendrites. Neuron. 75 [PubMed]

• Principles governing the operation of synaptic inhibition in dendrites (Gidon & Segev 2012) [Model]

Hao J, Wang XD, Dan Y, Poo MM, Zhang XH. (2009). An arithmetic rule for spatial summation of excitatory and inhibitory inputs in pyramidal neurons. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]

• Spatial summation of excitatory and inhibitory inputs in pyramidal neurons (Hao et al. 2010) [Model]

Hendrickson EB, Edgerton JR, Jaeger D. (2011). The capabilities and limitations of conductance-based compartmental neuron models with reduced branched or unbranched morphologies and active dendrites. Journal of computational neuroscience. 30 [PubMed]

• Comparison of full and reduced globus pallidus models (Hendrickson 2010) [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]

Huys QJ, Ahrens MB, Paninski L. (2006). Efficient estimation of detailed single-neuron models. Journal of neurophysiology. 96 [PubMed]

• Efficient estimation of detailed single-neuron models (Huys et al. 2006) [Model]

Kim H, Jones KE, Heckman CJ. (2014). Asymmetry in signal propagation between the soma and dendrites plays a key role in determining dendritic excitability in motoneurons. PloS one. 9 [PubMed]

• Locational influence of dendritic PIC on input-output properties of spinal motoneurons (Kim 2017) [Model]

Larkum ME, Nevian T, Sandler M, Polsky A, Schiller J. (2009). Synaptic integration in tuft dendrites of layer 5 pyramidal neurons: a new unifying principle. Science (New York, N.Y.). 325 [PubMed]

• Synaptic integration in tuft dendrites of layer 5 pyramidal neurons (Larkum et al. 2009) [Model]

Lepora NF, Overton PG, Gurney K. (2012). Efficient fitting of conductance-based model neurons from somatic current clamp. Journal of computational neuroscience. 32 [PubMed]

• Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011) [Model]

Lin RJ, Jaeger D. (2011). Using computer simulations to determine the limitations of dynamic clamp stimuli applied at the soma in mimicking distributed conductance sources. Journal of neurophysiology. 105 [PubMed]

London M, Roth A, Beeren L, Häusser M, Latham PE. (2010). Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature. 466 [PubMed]

• Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010) [Model]

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]

Morita K. (2008). Possible role of dendritic compartmentalization in the spatial working memory circuit. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

• Working memory circuit with branched dendrites (Morita 2008) [Model]

Muller SZ, Abbott LF, Sawtell NB. (2023). A Mechanism for Differential Control of Axonal and Dendritic Spiking Underlying Learning in a Cerebellum-like Circuit Curr Biol. [PubMed]

• ELL Medium Ganglion Cell (Mormyrid fish) (Muller et al, 2023) [Model]

Nanda S, Das R, Bhattacharjee S, Cox DN, Ascoli GA. (2018). Morphological determinants of dendritic arborization neurons in Drosophila larva. Brain structure & function. 223 [PubMed]

• Morphological determinants of dendritic arborization neurons in Drosophila larva (Nanda et al 2018) [Model]

Narayanan R, Johnston D. (2008). The h channel mediates location dependence and plasticity of intrinsic phase response in rat hippocampal neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

• Resonance properties through Chirp stimulus responses (Narayanan Johnston 2007, 2008) [Model]

Oláh VJ, Tarcsay G, Brunner J. (2021). Small size of recorded neuronal structures confines the accuracy in direct axonal voltage measurements. eNeuro. 8 [PubMed]

• Realistic amplifier model (Oláh et al. 2021) [Model]

Peron SP, Krapp HG, Gabbiani F. (2007). Influence of electrotonic structure and synaptic mapping on the receptive field properties of a collision-detecting neuron. Journal of neurophysiology. 97 [PubMed]

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]

Poleg-Polsky A, Diamond JS. (2016). NMDA Receptors Multiplicatively Scale Visual Signals and Enhance Directional Motion Discrimination in Retinal Ganglion Cells. Neuron. 89 [PubMed]

• Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016) [Model]

Remme MWH, Rinzel J, Schreiber S. (2018). Function and energy consumption constrain neuronal biophysics in a canonical computation: Coincidence detection. PLoS computational biology. 14 [PubMed]

• Function and energy constrain neuronal biophysics in coincidence detection (Remme et al 2018) [Model]

Schmidt-Hieber C et al. (2017). Active dendritic integration as a mechanism for robust and precise grid cell firing. Nature neuroscience. 20 [PubMed]

• Active dendritic integration in robust and precise grid cell firing (Schmidt-Hieber et al 2017) [Model]

Shapiro NP, Lee RH. (2007). Synaptic amplification versus bistability in motoneuron dendritic processing: a top-down modeling approach. Journal of neurophysiology. 97 [PubMed]

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]

Sun Q, Srinivas KV, Sotayo A, Siegelbaum SA. (2014). Dendritic Na+ spikes enable cortical input to drive action potential output from hippocampal CA2 pyramidal neurons. eLife. 3 [PubMed]

Takashima A, Hikosaka R, Takahata M. (2006). Functional significance of passive and active dendritic properties in the synaptic integration by an identified nonspiking interneuron of crayfish. Journal of neurophysiology. 96 [PubMed]

• Synaptic integration of an identified nonspiking interneuron in crayfish (Takashima et al 2006) [Model]