How does nature program neuron types?

Activity-dependent scaling of quantal amplitude in neocortical neurons

Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., & Nelson, S. B. (1998) · Nature · doi:10.1038/36103 · Cited by 2,226 · see citing works

Variability, compensation and homeostasis in neuron and network function

Marder, E., & Goaillard, J.-M. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1949 · Cited by 1,212 · see citing works

Variable channel expression in identified single and electrically coupled neurons in different animals

Schulz, D. J., Goaillard, J.-M., & Marder, E. (2006) · Nature Neuroscience · doi:10.1038/nn1639 · Cited by 426 · see citing works

A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data

Druckmann, S. (2007) · Frontiers in Neuroscience · doi:10.3389/neuro.01.1.1.001.2007 · Cited by 306 · see citing works

The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: I. Passive membrane properties

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Peptidergic Counter-Regulation of Ca2+- and Na+-Dependent K+Currents Modulates the Shape of Action Potentials in Neurosecretory Insect Neurons

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Peptidergic counter-regulation of Ca2+- and Na+-dependent K+ currents modulates the shape of action potentials in neurosecretory insect neurons

Wicher, D., Berlau, J., Walther, C., et al. (2006) · Max Planck Institute for Plasma Physics · Cited by 1 · see citing works

Multi-task connectivity reveals flexible hubs for adaptive task control

Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704 · see citing works

The neural bases of emotion regulation

Etkin, A., Büchel, C., & Gross, J. J. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn4044 · Cited by 1,244 · see citing works

Deep neural networks: a new framework for modeling biological vision and brain information processing

Kriegeskorte, N. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035447 · Cited by 1,093 · see citing works

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

Cichy, R. M., Khosla, A., Pantazis, D., Torralba, A., & Oliva, A. (2016) · Scientific Reports · doi:10.1038/srep27755 · Cited by 716 · see citing works

Shared memories reveal shared structure in neural activity across individuals

Chen, J., Leong, Y. C., Honey, C. J., Yong, C. H., Norman, K. A., & Hasson, U. (2017) · Nature Neuroscience · doi:10.1038/nn.4450 · Cited by 645 · see citing works

Decoding Neural Representational Spaces Using Multivariate Pattern Analysis

Haxby, J. V., Connolly, A. C., & Guntupalli, J. S. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170325 · Cited by 717 · see citing works

Cognitive computational neuroscience

Kriegeskorte, N., & Douglas, P. K. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0210-5 · Cited by 535 · see citing works

If deep learning is the answer, what is the question?

Saxe, A., Nelli, S., & Summerfield, C. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-00395-8 · Cited by 397 · see citing works

Recurrence is required to capture the representational dynamics of the human visual system

Kietzmann, T. C., Spoerer, C. J., Sörensen, L. K. A., Cichy, R. M., Hauk, O., & Kriegeskorte, N. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1905544116 · Cited by 406 · see citing works

Learning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortex

Schlichting, M. L., Mumford, J. A., & Preston, A. R. (2015) · Nature Communications · doi:10.1038/ncomms9151 · Cited by 381 · see citing works

Distributed Representations in Memory: Insights from Functional Brain Imaging

Rissman, J., & Wagner, A. D. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100344 · Cited by 299 · see citing works

Layer and rhythm specificity for predictive routing

Bastos, A. M., Lundqvist, M., Waite, A. S., Kopell, N., & Miller, E. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014868117 · Cited by 268 · see citing works

Separate neural representations for physical pain and social rejection

Woo, C.-W., Koban, L., Kross, E., Lindquist, M. A., Banich, M. T., Ruzic, L., Andrews-Hanna, J. R., & Wager, T. D. (2014) · Nature Communications · doi:10.1038/ncomms6380 · Cited by 310 · see citing works

Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression

Wimber, M., Alink, A., Charest, I., Kriegeskorte, N., & Anderson, M. C. (2015) · Nature Neuroscience · doi:10.1038/nn.3973 · Cited by 282 · see citing works

Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex

Kragel, P. A., Kano, M., Van Oudenhove, L., Ly, H. G., Dupont, P., Rubio, A., Delon-Martin, C., Bonaz, B. L., Manuck, S. B., Gianaros, P. J., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0051-7 · Cited by 272 · see citing works

Memory: organization and control.

Eichenbaum, H. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-010416-044131 · Cited by 257 · see citing works

The neuroconnectionist research programme

Doerig, A., Sommers, R. P., Seeliger, K., Richards, B., Ismael, J., Lindsay, G. W., Kording, K. P., Konkle, T., van Gerven, M. A. J., Kriegeskorte, N., et al. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00705-w · Cited by 233 · see citing works

Awake reactivation predicts memory in humans

Staresina, B. P., Alink, A., Kriegeskorte, N., & Henson, R. N. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311989110 · Cited by 219 · see citing works

Episodic reinstatement in the medial temporal lobe

Staresina, B. P., Henson, R. N. A., Kriegeskorte, N., & Alink, A. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4156-12.2012 · Cited by 228 · see citing works

Dynamic updating of hippocampal object representations reflects new conceptual knowledge

Mack, M. L., Love, B. C., & Preston, A. R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1614048113 · Cited by 223 · see citing works

Maps of subjective feelings

Nummenmaa, L., Hari, R., Hietanen, J. K., & Glerean, E. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1807390115 · Cited by 216 · see citing works

Triple dissociation of attention and decision computations across prefrontal cortex

Hunt, L. T., Malalasekera, W. M. N., de Berker, A. O., Miranda, B., Farmer, S. F., Behrens, T. E. J., & Kennerley, S. W. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0239-5 · Cited by 222 · see citing works

Neural tuning and representational geometry

Kriegeskorte, N., & Wei, X.-X. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00502-3 · Cited by 187 · see citing works

Predictive coding as a model of response properties in cortical area V1

Spratling, M. W. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4911-09.2010 · Cited by 206 · see citing works

CA1 and CA3 differentially support spontaneous retrieval of episodic contexts within human hippocampal subfields

Dimsdale-Zucker, H. R., Ritchey, M., Ekstrom, A. D., Yonelinas, A. P., & Ranganath, C. (2018) · Nature Communications · doi:10.1038/s41467-017-02752-1 · Cited by 205 · see citing works

A common cortical metric for spatial, temporal, and social distance

Parkinson, C., Liu, S., & Wheatley, T. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2159-13.2014 · Cited by 198 · see citing works

The neural dynamics of hierarchical Bayesian causal inference in multisensory perception

Rohe, T., Ehlis, A.-C., & Noppeney, U. (2019) · Nature Communications · doi:10.1038/s41467-019-09664-2 · Cited by 187 · see citing works

Electrophysiological mechanisms of human memory consolidation

Zhang, H., Fell, J., & Axmacher, N. (2018) · Nature Communications · doi:10.1038/s41467-018-06553-y · Cited by 164 · see citing works

Consolidation of complex events via reinstatement in posterior cingulate cortex

Bird, C. M., Keidel, J. L., Ing, L. P., Horner, A. J., & Burgess, N. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1774-15.2015 · Cited by 145 · see citing works

Hierarchical organization of auditory and motor representations in speech perception: Evidence from searchlight similarity analysis

Evans, S., & Davis, M. H. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv136 · Cited by 130 · see citing works

Attention gates visual coding in the human pulvinar

Fischer, J., & Whitney, D. (2012) · Nature Communications · doi:10.1038/ncomms2054 · Cited by 127 · see citing works

Neural pattern similarity predicts long-term fear memory

Visser, R. M., Scholte, H. S., Beemsterboer, T., & Kindt, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3345 · Cited by 118 · see citing works

A probability distribution over latent causes, in the orbitofrontal cortex

Chan, S. C. Y., Niv, Y., & Norman, K. A. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0659-16.2016 · Cited by 97 · see citing works

Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex

Kuzovkin, I., Vicente, R., Petton, M., Lachaux, J.-P., Baciu, M., Kahane, P., Rheims, S., Vidal, J. R., & Aru, J. (2018) · Communications Biology · doi:10.1038/s42003-018-0110-y · Cited by 104 · see citing works

The Faces of Predictive Coding

Brodski, A., Paasch, G.-F., Helbling, S., & Wibral, M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1529-14.2015 · Cited by 99 · see citing works

The social brain automatically predicts others’ future mental states

Thornton, M. A., Weaverdyck, M. E., & Tamir, D. I. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1431-18.2018 · Cited by 76 · see citing works

A virtual rodent predicts the structure of neural activity across behaviours

Aldarondo, D., Merel, J., Marshall, J. D., Hasenclever, L., Klibaite, U., Gellis, A., Tassa, Y., Wayne, G., Botvinick, M., & Ölveczky, B. P. (2024) · Nature · doi:10.1038/s41586-024-07633-4 · Cited by 70 · see citing works

Emergence of analogy from relation learning

Lu, H., Wu, Y. N., & Holyoak, K. J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814779116 · Cited by 70 · see citing works

Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning

Anderson, A. J., Kiela, D., Binder, J. R., Fernandino, L., Humphries, C. J., Conant, L. L., Raizada, R. D. S., Grimm, S., & Lalor, E. C. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1152-20.2021 · Cited by 70 · see citing works

Lesser neural pattern similarity across repeated tests is associated with better long-term memory retention.

Karlsson Wirebring, L., Wiklund-Hornqvist, C., Eriksson, J., Andersson, M., Jonsson, B., & Nyberg, L. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3550-14.2015 · Cited by 65 · see citing works

Large language models predict human sensory judgments across six modalities

Marjieh, R., Sucholutsky, I., van Rijn, P., Jacoby, N., & Griffiths, T. L. (2024) · Scientific Reports · doi:10.1038/s41598-024-72071-1 · Cited by 73 · see citing works

Brain hemodynamic activity during viewing and re-viewing of comedy movies explained by experienced humor

Jääskeläinen, I. P., Pajula, J., Tohka, J., Lee, H.-J., Kuo, W.-J., & Lin, F.-H. (2016) · Scientific Reports · doi:10.1038/srep27741 · Cited by 52 · see citing works

Partially overlapping spatial environments trigger reinstatement in hippocampus and schema representations in prefrontal cortex

Zheng, L., Gao, Z., McAvan, A. S., Isham, E. A., & Ekstrom, A. D. (2021) · Nature Communications · doi:10.1038/s41467-021-26560-w · Cited by 54 · see citing works

The Hippocampus Generalizes across Memories that Share Item and Context Information

Libby, L. A., Reagh, Z. M., Bouffard, N. R., Ragland, J. D., & Ranganath, C. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01345 · Cited by 42 · see citing works

Functional split brain in a driving/listening paradigm

Sasai, S., Boly, M., Mensen, A., & Tononi, G. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613200113 · Cited by 43 · see citing works

Functional Specificity and Sex Differences in the Neural Circuits Supporting the Inhibition of Automatic Imitation

Darda, K. M., Butler, E. E., & Ramsey, R. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01261 · Cited by 30 · see citing works

Antidepressants Increase β-Arrestin2 Ubiquitinylation and Degradation by the Proteasomal Pathway in C6 Rat Glioma Cells

Golan, M., Schreiber, G., & Avissar, S. (2010) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.109.160218 · Cited by 24 · see citing works

Time-dependent consolidation mechanisms of durable memory in spaced learning

Yang, Y., Huang, Z., Yang, Y., Fan, M., & Yin, D. (2025) · Communications Biology · doi:10.1038/s42003-025-07964-6 · Cited by 10 · see citing works

Universality of representation in biological and artificial neural networks

Hosseini, E., Casto, C., Zaslavsky, N., Conwell, C., Richardson, M., & Fedorenko, E. (2024) · doi:10.1101/2024.12.26.629294 · Cited by 10 · see citing works

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Using DataGrid Control to Realize DataBase of Querying in VB6.0

Hu, S. (2000) · Modern Computer

Study and Two Types of Typical Usage of DataGrid Web Server Control

Hai-tao, L. (2005) · Modern Computer

Achieving Parameter of DBSCAN Based on Datagrid

Xu, Q. (2010)

PACWON: A parallelizing compiler for workstations on a network

Das, D. K., & Das, P. P. (1998) · Journal of Systems Architecture · doi:10.1016/s1383-7621(97)00078-7