Deep Brain Stimulation: Neuromodulation Techniques

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Electric Fields and Potentials

Explores electric fields, potentials, point charges, and continuous distributions in electrostatics.

Intensity: Light, Heat, and Energy Transport

Explores heat generation from light-matter interactions, energy transport through electromagnetic waves, and the concept of intensity.

Recurrent Neural Networks: Training and Challenges

Discusses recurrent neural networks, their training challenges, and solutions like LSTMs and GRUs.

Blended Learning: Electric Fields and Potentials

Explores electric fields, potentials, and Gauss's law with practical examples.

Nonlinear Supervised Learning

Explores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.

Deep Learning: Convolutional Neural Networks

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

Electric field and electric potential

Covers electric field, potential, field lines, and potential difference with practical examples.

Understanding the Hippocampus: Structure and Function

Explores the importance of the hippocampus in memory and spatial navigation, discussing its unique structure and implications for broader brain research.

Magnetic Moments and Field Lines: Equivalence and Induction

Explores magnetic dipole, field lines, and induction by moving charges.

Modeling Neuronal Activity

Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.