Synaptic Plasticity: Online Memory Learning

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Introduction to synaptic plasticity

Covers synaptic plasticity, types of synapses, Hebb's postulate, LTP, LTD, and network oscillations in the hippocampus.

Models of Long-Term Plasticity: Hebbian Learning

Explores Hebbian learning, synaptic plasticity, and models for long-term plasticity.

Spike-Timing Models of plasticity

Explores Spike-Timing Models of plasticity, including STDP and synaptic traces.

From Spiking Models to Rate Models

Explores the transition from spiking to rate models in synaptic plasticity.

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.

Classification of Plasticity: Short-term vs. Long-term Changes

Explores short-term and long-term synaptic changes, Hebbian learning, and the role of neuromodulators.

Building Physical Neural Networks

Discusses challenges in building physical neural networks, focusing on depth, connections, and trainability.

Memory Encoding and Neuroplasticity

Explores memory encoding, neuronal plasticity, types of memory, brain regions, and clinical cases.

Introduction to Systems Neuroscience: Memory Systems Overview

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

Synaptic Plasticity: Mechanisms and Models

Explores different forms of synaptic plasticity and computational models to understand its mechanisms and induction protocols.