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Plos Computational Biology|January 29, 2025
The calcitron: A simple neuron model that implements many learning rules via the calcium control hypothesisToviah Moldwin, Li Shay Azran, Idan SegevJournal of Computational Neuroscience|March 18, 2025
A generalized mathematical framework for the calcium control hypothesis describes weight-dependent synaptic plasticityToviah Moldwin, Li Shay Azran, Idan SegevFrontiers in Computational Neuroscience|May 12, 2020
Perceptron Learning and Classification in a Modeled Cortical Pyramidal CellToviah Moldwin, Idan SegevEneuro|July 6, 2023
Asymmetric Voltage Attenuation in Dendrites Can Enable Hierarchical Heterosynaptic PlasticityToviah Moldwin, Menachem Kalmenson, Idan SegevPlos Computational Biology|May 24, 2021
The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descentToviah Moldwin, Menachem Kalmenson, Idan SegevJournal of Cognitive Neuroscience|August 30, 2017
Statistical Learning of Melodic Patterns Influences the Brain's Response to Wrong NotesToviah Moldwin, Odelia Schwartz, Elyse S SussmanJournal of Neurophysiology|February 24, 2006
What do dendrites and their synapses tell the neuron?Idan SegevThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 29, 2006
The endurance and selectivity of spatial patterns of long-term potentiation/depression in dendrites under homeostatic synaptic plasticityIthai Rabinowitch, Idan SegevJournal of Neurophysiology|March 24, 2006
The interplay between homeostatic synaptic plasticity and functional dendritic compartmentsIthai Rabinowitch, Idan SegevTrends in Neurosciences|October 24, 2002
Playing the devil's advocate: is the Hodgkin-Huxley model useful?Claude Meunier, Idan SegevPageof 9