Energy landscape: Symmetric Interactions

Related lectures (23)

Page 1 of 3

Explores transdisciplinarity in integrative research and sustainable landscape development.

Explores attractor networks and Hopfield model generalizations in computational neuroscience, focusing on memory retrieval and dynamics convergence.

Explores martingales in stochastic systems, focusing on formal analysis, termination analysis, and stability verification.

Explores spatial ergodicity for SPDEs, covering basic formulations, initial data effects, and results on ergodicity and CLT.

Explores classical mean field theory, local interactions, and examples like individual-based SIR models and raindrop formation.

Explores attractor networks, spiking neurons, memory data, and realistic networks in neural dynamics.

Explores the application of randomness in physical models, focusing on Brownian motion and diffusion.

Explores the Fokker-Planck and KPZ equations in stochastic processes and random growth models.

Covers examples of continuous-time stochastic processes in communication systems.

Explores the Stochastic Hopfield model, noisy neurons, firing probabilities, memory retrieval, and overlap equations in attractor networks.