Lectures related to Cellular Anatomy: Morphological Types and Neuron Composition

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Neuronal Plasticity: Synaptic Changes and Brain Functioning

Explores neuronal plasticity, synaptic changes, brain functioning, and unconscious states through various mechanisms.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Graph Signal Processing in Brain Networks

Delves into Graph Signal Processing in brain networks, emphasizing the integration of brain structure and function through innovative techniques.

Graph Signal Processing for the Brain

Explores Graph Signal Processing applied to brain networks, emphasizing the relationship between brain function and structure using methods like Graph Fourier Transform and Structural-Decoupling Index.

Neural Modeling: From Sensory Systems to Behavior

Explores neural modeling of sensory systems and behavior using deep neural networks and task-driven networks.

Neuroscience and Machine Learning: Understanding Visual Intelligence

Explores the relationship between neuroscience and machine learning in visual intelligence.

Introduction to Systems Neuroscience: Memory Systems Overview

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

Neural System Organization

Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.

Neural Signals and Signal Processing: Hemodynamic Imaging

Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.

Graph Signal Processing for the Brain

Explores the integration of brain structure and function using Graph Signal Processing techniques, including functional MRI and structural connectome analysis.

Neural System Organization

Explores the organization and structure of the nervous system, including neurons, synapses, neurotransmitters, and brain functions.

Understanding Proprioception: Neural Network Models

Explores how neural networks can help understand proprioception and muscle contraction.

Neuromorphic Computing: Concepts and Hardware Implementations

Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.

Neural Networks: Training and Activation

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

Neuron Classification: Types and Challenges

Explores neuron classification, highlighting the importance of understanding brain complexity and the challenges in defining cell types.

Understanding Neurorobotics

Explores the link between intelligence, the brain, and behavior through neurorobotics.

Introduction into the module

Introduces nerve cells' electrical activity, focusing on spikes and synaptic potentials.

The Whole Brain Abstraction and Infrastructure

Covers the modeling of electrophysiology at different scales and the infrastructure for brain simulation and analysis.

Modeling Electrophysiology: Different Scales

Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.