Locally Synchronized Synaptic Inputs

Structural basis of long-term potentiation in single dendritic spines

Matsuzaki, M., Honkura, N., Ellis-Davies, G. C. R., & Kasai, H. (2004) · Nature · doi:10.1038/nature02617 · Cited by 2,483

Memory of sequential experience in the hippocampus during slow wave sleep

Lee, A. K., & Wilson, M. A. (2002) · Neuron · doi:10.1016/s0896-6273(02)01096-6 · Cited by 1,296

A new cellular mechanism for coupling inputs arriving at different cortical layers

Larkum, M. E., Zhu, J. J., & Sakmann, B. (1999) · Nature · doi:10.1038/18686 · Cited by 1,180

DENDRITIC COMPUTATION

London, M., & Häusser, M. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135703 · Cited by 1,149

Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity

Ikegaya, Y., Aaron, G., Cossart, R., Aronov, D., Lampl, I., Ferster, D., & Yuste, R. (2004) · Science · doi:10.1126/science.1093173 · Cited by 838

NMDA spikes in basal dendrites of cortical pyramidal neurons

Schiller, J., Major, G., Koester, H. J., & Schiller, Y. (2000) · Nature · doi:10.1038/35005094 · Cited by 720

Integrative Properties of Radial Oblique Dendrites in Hippocampal CA1 Pyramidal Neurons

Losonczy, A., & Magee, J. C. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.016 · Cited by 641

Locally dynamic synaptic learning rules in pyramidal neuron dendrites

Harvey, C. D., & Svoboda, K. (2007) · Nature · doi:10.1038/nature06416 · Cited by 625

Compartmentalized dendritic plasticity and input feature storage in neurons

Losonczy, A., Makara, J. K., & Magee, J. C. (2008) · Nature · doi:10.1038/nature06725 · Cited by 598

Local, persistent activation of Rho GTPases during plasticity of single dendritic spines

Murakoshi, H., Wang, H., & Yasuda, R. (2011) · Nature · doi:10.1038/nature09823 · Cited by 564

Highly Reliable Bi2O2Se Dendritic Neuron Enabling Spatial-Temporal Signal Processing for Real-World Image Classification

Oh, J., Ahn, W., van der Ham, A., Lee, H., Lee, S., Cha, J., Seo, S., Kang, K., & Choi, S. (2025) · ACS Nano · doi:10.1021/acsnano.4c11133 · Cited by 8

Synchronized spike waves in immature dentate gyrus networks

Seki, M., Kobayashi, C., Takahashi, N., Matsuki, N., & Ikegaya, Y. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.07995.x · Cited by 8

Comprehensive imaging of synaptic activity reveals dendritic growth rules that cluster inputsPreprint

Podgorski, K., Toth, T. D., Coleman, P., Opushnyev, S., Brusco, J., Hogg, P. W., Edgcumbe, P., & Haas, K. Z. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.11.430646 · Cited by 10

Clustering of synaptic engram: Functional and structural basis of memory

Lee, C., & Kaang, B. (2024) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2024.107993 · Cited by 6

Quantifying the Number of Discriminable Coincident Dendritic Input Patterns through Dendritic Tree Morphology

Zippo, A. G., & Biella, G. E. M. (2015) · Scientific Reports · doi:10.1038/srep11543 · Cited by 8

Acetylcholine‐sensitive control of long‐term synaptic potentiation in hippocampal CA3 neurons

Kassab, R. (2023) · Hippocampus · doi:10.1002/hipo.23533 · Cited by 7

Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles

Navarro, P., & Oweiss, K. G. (2023) · Patterns · doi:10.1016/j.patter.2023.100845 · Cited by 6

Demonstration of a PECVD SiO x -Based RRAM Dendritic Device

Roy, S., Bhattacharya, E., & Chakrabarti, B. (2024) · IEEE Electron Device Letters · doi:10.1109/led.2023.3347333 · Cited by 6

Probing multiplexed basal dendritic computations using two-photon 3D holographic uncaging

Xiao, S., Yadav, S., & Jayant, K. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114413 · Cited by 6

Local changes in potassium ions regulate input integration in active dendrites

Nordentoft, M. S., Papoutsi, A., Takahashi, N., Heltberg, M. L., Jensen, M. H., & Rasmussen, R. N. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002935 · Cited by 11

How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study

Shomali, S. R., Ahmadabadi, M. N., Shimazaki, H., & Rasuli, S. N. (2017) · Journal of Computational Neuroscience · doi:10.1007/s10827-017-0664-6 · Cited by 5

Quantitative Analysis of the Spatial Organization of Synaptic Inputs on the Postsynaptic Dendrite

Scheuß, V. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00039 · Cited by 7

In Vivo Wide-Field and Two-Photon Calcium Imaging from a Mouse Using a Large Cranial Window

Manita, S., Shigetomi, E., Bito, H., Koizumi, S., & Kitamura, K. (2022) · Journal of Visualized Experiments · doi:10.3791/64224 · Cited by 6

Effects of noise on models of spiny dendrites

Coutts, E. J., & Lord, G. J. (2012) · Journal of Computational Neuroscience · doi:10.1007/s10827-012-0418-4 · Cited by 6

A method for visually guided whole-cell recordings in brain slices exhibiting spontaneous rhythmic activity

Case, L., & Broberger, C. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.09.014 · Cited by 6

Quantification of the density of cooperative neighboring synapses required to evoke endocannabinoid signaling

Pachoud, B., Sharma, P., Bergerot, A., Knöpfel, T., & Marcaggi, P. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.10.041 · Cited by 6

Modeling the Emergence of Circuit Organization and Function during DevelopmentPreprint

Lakhera, S., Herbert, E., & Gjorgjieva, J. (2024) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a041511 · Cited by 8

Altered projection-specific synaptic remodeling and its modification by oxytocin in an idiopathic autism marmoset model

Noguchi, J., Watanabe, S., Oga, T., Isoda, R., Nakagaki, K., Sakai, K., Sumida, K., Hoshino, K., Saito, K., Miyawaki, I., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06345-9 · Cited by 5

Optogenetic estimation of synaptic connections in brain slices

Kashima, T., Sasaki, T., & Ikegaya, Y. (2024) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2024.110298 · Cited by 5

Synaptic topography – Converging connections and emerging function

Takahashi, N. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.11.001 · Cited by 8

Plasticity of Dendritic Spines Underlies Fear Memory

Choi, J. E., & Kaang, B. (2023) · The Neuroscientist · doi:10.1177/10738584231185530 · Cited by 5

Dendritic growth and synaptic organization from activity-independent cues and local activity-dependent plasticity

Kirchner, J. H., Euler, L., Fritz, I., Castro, A. F., & Gjorgjieva, J. (2023) · eLife · doi:10.7554/elife.87527.3 · Cited by 23

Real-time fluorescence measurement of spontaneous activity in a high-density hippocampal network cultivated on a plasmonic dish

Minoshima, W., Hosokawa, C., Kudoh, S. N., & Tawa, K. (2020) · The Journal of Chemical Physics · doi:10.1063/1.5131497 · Cited by 5

Behavioral clusters revealed by end-to-end decoding from microendoscopic imagingPreprint

Chang, C.-J., Guo, W., Zhang, J. J., Newman, J., Sun, S.-H., & Wilson, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.15.440055 · Cited by 7

Clustered synapses develop in distinct dendritic domains in visual cortex before eye opening

Leighton, A. H., Cheyne, J. E., & Löhmann, C. (2023) · eLife · doi:10.1101/2023.03.02.530772 · Cited by 19

Spatially targeted inhibitory rhythms differentially affect neuronal integrationPreprint

Headley, D. B., Latimer, B., Aberbach, A., & Nair, S. S. (2024) · eLife · doi:10.7554/elife.95562.1 · Cited by 5

Dendritic Kernel Convolutional Neural Network for Breast Ultrasound Images Segmentation

Zhang, H., Liu, Z., Zhang, Z., Lei, Z., Wang, Z., Hasegawa, H., & Gao, S. (2025) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2025.3615627 · Cited by 5

Synaptic microarchitecture: the role of spatial interplay between excitatory and inhibitory inputs in shaping dendritic plasticity and neuronal output

Cupolillo, D., Regio, V., & Barberis, A. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1513602 · Cited by 4

Synaptic pruning following NMDAR-dependent LTD preferentially affects isolated synapses

Camus, C., Leval, L., Villicana-Munoz, V., Jelinkova, S., Compans, B., Gambino, F., Herzog, E., Choquet, D., & Hosy, E. (2025) · iScience · doi:10.1016/j.isci.2025.113093 · Cited by 4

Functional Multiple-Spine Calcium Imaging from Brain Slices

Ishikawa, T., Kobayashi, C., Takahashi, N., & Ikegaya, Y. (2020) · STAR Protocols · doi:10.1016/j.xpro.2020.100121 · Cited by 3

Modeling Maintenance of Long-Term Potentiation in Clustered Synapses: Long-Term Memory without Bistability

Smolen, P. (2015) · Neural Plasticity · doi:10.1155/2015/185410 · Cited by 5

GABAergic inhibition reduces the impact of synaptic excitation on somatic excitation

Kobayashi, C., Okamoto, K., Mochizuki, Y., Urakubo, H., Funayama, K., Ishikawa, T., Kashima, T., Ouchi, A., Szymanska, A. F., Ishii, S., et al. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.09.014 · Cited by 4

On the distribution and function of synaptic clusters in dendritesPreprint

Cazé, R. D., Foust, A. J., Claudia Clopath, A., & Schultz, S. R. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/029330 · Cited by 4

Impact of functional synapse clusters on neuronal response selectivityPreprint

Ujfalussy, B. B., & Makara, J. K. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/634220 · Cited by 4

Long-Term Potentiation Produces a Sustained Expansion of Synaptic Information Storage Capacity in Adult Rat HippocampusPreprint

Samavat, M., Bartol, T. M., Bromer, C., Hubbard, D. D., Hanka, D. C., Kuwajima, M., Mendenhall, J. M., Parker, P. H., Bowden, J. B., Abraham, W. C., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.12.574766 · Cited by 4

Author response: Clustered synapses develop in distinct dendritic domains in visual cortex before eye opening

Leighton, A. H., Cheyne, J. E., & Löhmann, C. (2024) · eLife · doi:10.7554/elife.93498.2.sa4 · Cited by 4

Time-lapse imaging of identified granule cells in the mouse dentate gyrus after entorhinal lesion in vitro reveals heterogeneous cellular responses to denervation

Greco, D., Drakew, A., Rößler, N., Jungenitz, T., Jedlička, P., & Deller, T. (2025) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2024.1513511 · Cited by 3

Implementing feature binding through dendritic networks of a single neuron

Tang, Y., Jia, S., Huang, T., Yu, Z., & Liu, J. K. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.107555 · Cited by 4

Spatially targeted inhibitory rhythms differentially affect neuronal integration

Headley, D. B., Latimer, B., Aberbach, A., & Nair, S. S. (2024) · eLife · doi:10.7554/elife.95562.3 · Cited by 5

Large-scale imaging of subcellular calcium dynamics of cortical neurons with G-CaMP6-actin

Kobayashi, C., Ohkura, M., Nakai, J., Matsuki, N., Ikegaya, Y., & Sasaki, T. (2014) · Neuroreport · doi:10.1097/wnr.0000000000000126 · Cited by 3

High-Speed, Random-Access Multiphoton Microscopy for Monitoring Synaptic and Neuronal Activity in 3D in Behaving Animals

Marosi, M., Szalay, G., Katona, G., & Rózsa, B. J. (2019) · Neuromethods · doi:10.1007/978-1-4939-9702-2_14 · Cited by 3

The Nonlinear Brain: Towards Uncovering Hidden Brain Networks Using Explicitly Nonlinear Functional Interaction

Iraji, A., Kazimierczak, K., Chen, J., Motlaghian, S. M., Specht, K., Adalı, T., & Calhoun, V. D. (2023) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi53787.2023.10230347 · Cited by 3

Supralinear dendritic integration in murine dendrite-targeting interneurons

Griesius, S., Richardson, A., & Kullmann, D. M. (2024) · eLife · doi:10.7554/elife.100268.3 · Cited by 3

INFLUENCE OF LEADERSHIP ON PERFORMANCE OF NON-GOVERNMENTAL ORGANIZATION IN KENYA: A CASE OF CARE FOR HIV/AIDS ORGANIZATION

NYAYWERA, C. O., KAHUTHIA, D. J., & GAKENIA, D. J. (2018) · Strategic Journal of Business & Change Management · doi:10.61426/sjbcm.v5i3.811 · Cited by 3

Dissonant Synapses Shall Be Punished

Kehayas, V., & Holtmaat, A. J. D. G. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.040 · Cited by 3

Multi-layer spike-in spike-out representation of Hippocampus circuitry

Dibazar, A. A., Yousefi, A., & Berger, T. W. (2013) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2013.6696009 · Cited by 3

Compressive sensing of neuronal connectivity maps from subsampled, cell-targeted optogenetic stimulation of a network modelPreprint

Navarro, P., & Oweiss, K. G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.08.515672 · Cited by 3

DendroTweaks: An interactive approach for unraveling dendritic dynamicsPreprint

Makarov, R., Chavlis, S., & Poirazi, P. (2024) · eLife · doi:10.7554/elife.103324.1 · Cited by 3

Local, calcium- and reward-based synaptic learning rule that enhances dendritic nonlinearities can solve the nonlinear feature binding problemPreprint

Khodadadi, Z., Trpevski, D., Lindroos, R., & Kotaleski, J. H. (2025) · eLife · doi:10.7554/elife.97274.2 · Cited by 3

Evolutionary learning in neural networks by heterosynaptic plasticity

Bi, Z., Fu, R., Chen, G., Yang, D., Zhou, Y., & Tian, L. (2025) · iScience · doi:10.1016/j.isci.2025.112340 · Cited by 2

Dendritic retraction contributes to spine density recovery following denervation in vitro

Greco, D., Drakew, A., Jungenitz, T., & Deller, T. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107136 · Cited by 2

Dendritic compartment-specific spine formation in layer 5 neurons underlies cortical circuit maturation during adolescence

Egashira, R., Ke, M.-T., Nakagawa-Tamagawa, N., Fujimoto, S., Inagaki, S., Takagi, T., Miyakawa, T., Tagawa, Y., & Imai, T. (2026) · Science Advances · doi:10.1126/sciadv.adw8458 · Cited by 3

Distinct spatial distribution of potentiated dendritic spines in encoding- and recall-activated hippocampal neurons

Gobbo, F., Jacob, A., Pinto, B., Mainardi, M., Cancedda, L., & Cattaneo, A. (2026) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2025.1751677 · Cited by 2

Functional synaptic connectivity shapes spine stability in the hippocampus

Rais, C., & Wiegert, J. S. (2026) · Nature Communications · doi:10.1038/s41467-026-71332-z · Cited by 3

Simple input–output dependencies explain neuronal activity

Lynn, C. W. (2026) · Nature Physics · doi:10.1038/s41567-026-03306-3 · Cited by 3

Intravital imaging of dendritic spine plasticity

Lai, C. S. W. (2014) · IntraVital · doi:10.4161/21659087.2014.984504 · Cited by 2

Ca2+ imaging of neurons and astrocytes with genetically encoded Ca2+ indicators

Ohkura, M., & Nakai, J. (2013) · Folia Pharmacologica Japonica · doi:10.1254/fpj.142.226 · Cited by 2

Dendritic distribution of synaptic input creates a trade-off between input selectivity and flexibility

Remme, M. W. H., & Schreiber, S. (2015) · BMC Neuroscience · doi:10.1186/1471-2202-16-s1-p220 · Cited by 2

Dendritic plateau potentials can process spike sequences across multiple time-scalesPreprint

Leugering, J., Nieters, P., & Pipa, G. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/690792 · Cited by 2

Evolutionary learning in the brain by heterosynaptic plasticityPreprint

Bi, Z., Chen, G., Yang, D., Zhou, Y., & Tian, L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.14.472260 · Cited by 3

DendroTweaks, an interactive approach for unraveling dendritic dynamicsPreprint

Makarov, R., Chavlis, S., & Poirazi, P. (2024) · eLife · doi:10.7554/elife.103324 · Cited by 3

Clustered Inputs Maximize Efficiency for Stable Place Field Encoding in Hippocampal Pyramidal NeuronsPreprint

Tasciotti, S., Iascone, D. M., Chavlis, S., Hammond, L. A., Katz, Y., Losonczy, A., Polleux, F., & Poirazi, P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.30.657022 · Cited by 2

Local, calcium- and reward-based synaptic learning rule that enhances dendritic nonlinearities can solve the nonlinear feature binding problem

Khodadadi, Z., Trpevski, D., Lindroos, R., & Kotaleski, J. H. (2024) · eLife · doi:10.7554/elife.97274.4 · Cited by 6

Redox‐Activated Probes Enable High‐Contrast Live Imaging of Native Postsynaptic Scaffolds

Huhn, C., Mille, C., Ho, S., Lützenkirchen, F. P., Khayenko, V., Hein, M., Werner, C. D., Kneussel, M., Hell, J. W., Specht, C. G., et al. (2026) · Angewandte Chemie International Edition · doi:10.1002/anie.202519933 · Cited by 1

Functional organization of dendritic spines in mouse visual cortex layer 2/3 neurons

Jenks, K. R., Heller, G. R., Tsimring, K., Martin, K. B., Rizvi, A., Ip, J. P. K., & Sur, M. (2026) · iScience · doi:10.1016/j.isci.2026.115861 · Cited by 1

Highly attenuated dendritic propagation of isolated synaptic potentials in vivo

Cornejo, V. H., Bouazza‐Arostegui, B., Alejandre-García, T., Hao, Y. A., Lee, S., Lin, M. Z., & Yuste, R. (2026) · Science Advances · doi:10.1126/sciadv.adz4123 · Cited by 1

Optogenetic Manipulation and Probing

Ohkura, M., Sadakari, J., & Nakai, J. (2015) · Springer eBooks · doi:10.1007/978-4-431-55516-2_9 · Cited by 1

Validation of long-term changes of evoked response with self-orgnization map

Fukui, Y., Ito, H., Minoshima, W., & Kudoh, S. N. (2014) · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS) · doi:10.1109/scis-isis.2014.7044829 · Cited by 1

Experimental Data Fitting Analysis on Frequency-Current-Temperature Relation

Sato, Y. D., Kobayashi, C., & Ikegaya, Y. (2012) · Research in neuroscience · Cited by 1

Imaging Signal Transduction in Dendrites Using Genetically Encoded Biosensors

Murakoshi, H., & Yasuda, R. (2016) · Springer eBooks · doi:10.1007/978-4-431-56050-0_7 · Cited by 1

Impact of Structural Plasticity on Memory Capacity

Bozelos, P., & Poirazi, P. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803784-3.00015-9 · Cited by 1

Effects of location and extent of spine clustering on synaptic integration in striatal medium spiny neurons—a computational study

Rane, M., & Manchanda, R. (2017) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-017-1760-5 · Cited by 1

Fundamentals of the modern theory of the phenomenon of "pain" from the perspective of a systematic approach. Neurophysiological basis. Part 1: A brief presentation of key subcellular and cellular ctructural elements of the central nervous system.

Poberezhnyi, V. I., Marchuk, O., Shvidyuk, O. S., Petrik, I., & Logvinov, O. S. (2019) · Pain medicine · doi:10.31636/pmjua.v3i4.1 · Cited by 1

Two-Photon Imaging of Dendritic Calcium Dynamics In Vivo

Palmer, L. M. (2019) · Neuromethods · doi:10.1007/978-1-4939-9702-2_12 · Cited by 2

Pulsed Operation on HfO2/Al2O3 RRAM Device as Electronic Dendrite

Yi, Y., Weng, Y., Ding, X., Feng, Y., & Liu, L. (2021) · IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA) · doi:10.1109/icta53157.2021.9661753 · Cited by 1

Active dendrites enable robust spiking computations despite timing jitter

Burger, T. S., Rule, M. E., & O’Leary, T. (2026) · eLife · doi:10.1101/2023.03.22.533815 · Cited by 2

Online Supervised Learning Algorithm for Dendritic Spiking Neural Networks with Nonlinear Synaptic Integration

Zou, Y., Lin, X., & Zhao, Y. (2024) · IEEE Annual Computing and Communication Workshop and Conference (CCWC) · doi:10.1109/ccwc60891.2024.10427561 · Cited by 1

Magnetic skyrmion-based brain-inspired devices

Liu, Y., & Du, H. (2024) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/tb-2024-0922 · Cited by 1

Neighborly synapses help each other out

Wiegert, J. S., & Oertner, T. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3955 · Cited by 1

Large scale parameter estimation for nonlinear dynamic systems: Application on spike-in, spike-out neural models

Dibazar, A. A., Yousefi, A., & Berger, T. W. (2014) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2014.6889921 · Cited by 1

Clustered plasticity in Long-Term Potentiation: How strong synapses persist to maintain long-term memory

Mikhaylova, M., & Kreutz, M. R. (2018) · e-Neuroforum · doi:10.1515/nf-2018-a006 · Cited by 1

Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics

Ivanov, V. A., & Michmizos, K. P. (2022) · Neural Computation · doi:10.1162/neco_a_01532 · Cited by 1

Context-Dependent Spatial Representations in the Hippocampus using Place Cell Dendritic Computation

Alabi, A., Vanderelst, D. F., & Minai, A. A. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892401 · Cited by 1

Dendrites enable a robust mechanism for neuronal stimulus selectivityPreprint

Cazé, R. D., Jarvis, S., Foust, A. J., & Schultz, S. R. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/023200 · Cited by 1

Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticityPreprint

Ocker, G. K., & Buice, M. A. (2021) · arXiv (Cornell University) · doi:10.12751/nncn.bc2021.p121 · Cited by 1

The superior colliculus response space has globally high– and locally low-dimensionalityPreprint

Schwartz, O. S., & Yonehara, K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.06.565916 · Cited by 1

Clustered synapses develop in distinct dendritic domains in visual cortex before eye openingPreprint

Leighton, A. H., Cheyne, J. E., & Löhmann, C. (2023) · eLife · doi:10.7554/elife.93498.1 · Cited by 1

Dendritic growth and synaptic organization from activity-independent cues and local activity-dependent plasticityPreprint

Kirchner, J. H., Euler, L., Fritz, I., Castro, A. F., & Gjorgjieva, J. (2024) · eLife · doi:10.7554/elife.87527.2 · Cited by 2

Supralinear dendritic integration in murine dendrite-targeting interneuronsPreprint

Griesius, S., Richardson, A., & Kullmann, D. M. (2024) · eLife · doi:10.7554/elife.100268.2 · Cited by 1

Extracellular Signal-Regulated Kinase as an Integrative Synapse-to-Nucleus Signal

Zhai, S. (2013) · DukeSpace (Duke University)

Handwritten Digits Recognition by Bio-inspired Hierarchical Networks

Zippo, A. G., Gelsomino, G., Nencini, S., & Biella, G. E. M. (2012) · Smart innovation, systems and technologies · doi:10.1007/978-3-642-35467-0_20

Chronic Co‐Variation of Neural Network Configuration and Activity in Mature Dissociated Cultures

Okawa, S., Mita, T., Bakkum, D. J., Frey, U., Hierlemann, A. R., Kanzaki, R., & Takahashi, H. (2015) · Electronics and Communications in Japan · doi:10.1002/ecj.11736

Influence of the electrotonic architecture on single neurons dynamics : a computational approach

Castro, A. F. (2014) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

Chronic Co-variation of Neural Network Configuration and Activity in Mature Dissociated Cultures

Okawa, S., Mita, T., Bakkum, D. J., Frey, U., Hierlemann, A. R., Kanzaki, R., & Takahashi, H. (2014) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss.134.338

Developmental Process and Synchronized Bursts in Cultured Neuronal Networks

Ito, D., & Gohara, K. (2014) · Seibutsu Butsuri · doi:10.2142/biophys.54.210

Order under the guise of chaos: functional neuroanatomy of the somatosensory "barrel" cortex of the reeler mutant mouse

Guy, J. (2016) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-5642

Detailed dendritic excitatory/inhibitory balance through heterosynaptic

Hiratani, N., & Fukai, T. (2016)

Morphological learning for spiking neurons with nonlinear active dendrites

Shaista, H. (2016) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/69184

The First Hour in the Life of a Synapse

Cheyne, J. E., & Löhmann, C. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-418675-0.00003-1

Role of retinoic acid signaling in homeostatic synaptic plasticity

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