Author

Menachem Kalmenson

Hebrew University of JerusalemORCID 0000-0003-0717-6386Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Idan SegeviD· 2 shared Toviah MoldwiniD· 2 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersNeuroscience

Idan SegevORCID

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2 papers

Recent·Most cited

NeuroscienceeNeuroPeer-reviewedJul 1, 2023

Asymmetric voltage attenuation in dendrites can enable hierarchical heterosynaptic plasticity.

Toviah Moldwin, Menachem Kalmenson, Idan Segev

The paper shows that asymmetric voltage attenuation in dendrites can enable hierarchical heterosynaptic plasticity through interactions between NMDA spikes and voltage-gated calcium channels.

10 citations

statistical model

𝕏 PostBluesky

NeurosciencePLoS Computational BiologyPeer-reviewedMay 24, 2021

The Gradient Clusteron: A model neuron that learnsvia dendritic nonlinearities, structural plasticity, and gradient descent

Toviah Moldwin, Menachem Kalmenson, Idan Segev

The paper introduces the gradient clusteron (G-clusteron), a model neuron that uses gradient descent and structural plasticity to solve classification tasks, achieving comparable performance to logistic regression on MNIST.

14 citations

deep learningstatistical model

𝕏 PostBluesky