Attractor Networks: Hopfield Model Generalizations

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Page 3 of 4

Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.

Explores gender differences in memory recall and the impact of visual cues and reminders.

Discusses dendrites as cables, covering the cable equation derivation and current conservation in coupled compartments.

Explores modeling in vitro data for computational neuroscience, including predicting subthreshold voltage and spike times.

Explores the dynamics of associative memory in networks of neurons and includes a detour into magnetic materials.

Explores simulating large-scale neural network models and optimizing memory efficiency in neural simulations using NEURON and CoreNEURON.

Explores cognitive load, memory limits, and split attention impact.

Explores compartmental models in computational neuroscience, focusing on active dendrites and experimental findings.

Covers the Generalized Linear Model (GLM) in computational neuroscience.

Delves into associative memory, Hebbian learning, and hierarchical organization in neural networks.