Toviah Moldwin

The Calcitron: A Simple Neuron Model That Implements Many Learning Rules via the Calcium Control Hypothesis

The paper introduces a simple neuron model based on calcium control hypothesis that can implement various learning rules, including novel ones.

A Generalized Framework for the Calcium Control Hypothesis Describes Weight-Dependent Synaptic Plasticity

The paper introduces a generalized framework for calcium-based synaptic plasticity that explains weight-dependent plasticity and incorporates experimental findings.

Asymmetric voltage attenuation in dendrites can enable hierarchical heterosynaptic plasticity.

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

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

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.

Perceptron learning and classification in a modeled cortical pyramidal cell

This study implements a perceptron learning algorithm in a biophysical model of a cortical pyramidal cell and shows it can perform classification tasks with accuracy comparable to the original perceptron.