Lectures related to Hebbian theory

Covers sensory stimulation, learning, synaptic plasticity, and Hebb's postulate in neurorobotics.

Modeling the receptive field development

Covers receptive field development, self-organization principles, neuron models, and Hebbian learning.

Synaptic Plasticity: Mechanisms and Models

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

Neurorobotics: Sensory Representations and Learning Principles

Explores sensory representations, Hebbian learning, Oja's rule, and Kohonen maps.

Analyzing Hebbian Learning Rule

Explores rate-based Hebbian learning, covariance rules, and weight vector growth in neural networks.

Synaptic Plasticity: Forms and Mechanisms

Explores different forms of synaptic plasticity and the mechanisms behind them, emphasizing the role of calcium in inducing and maintaining plastic changes.

Introducing a formal framework for representing learning

Covers Hebbian learning, reinforcement learning, types of learning, neuron models, learning rules, and weight homeostasis.

Simple Hebbian learning rules and correlated inputs

Explains how weight vectors converge to identical values and how correlated input units dominate the activity of the output neuron.

Analyzing Kohonen maps

Covers the learning of sensory representations and the principles of competition, cooperation, and synaptic adaptation in Kohonen maps.

Models of Long-Term Plasticity: Hebbian Learning

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

Examples applications of Oja's learning rule

Explores examples of applying Oja's learning rule in neural networks.

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

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

Explaining connectivity motifs

Explores how synaptic plasticity mechanisms lead to tightly interconnected neurons and how neuron shapes influence micro-connectivity trends.

Learning of Associations

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

Synaptic Plasticity and Learning: F7 Triplet STDP model

Explores the Triplet STDP model in synaptic plasticity and learning.

Synaptic Plasticity: Online Memory Learning

Explores synaptic plasticity, spike-timing models, and online memory learning challenges in computational neuroscience.

Receptive Field Development

Explores receptive fields in neurobiology, from basic concepts to complex formations and neural plasticity.

Introduction to synaptic plasticity

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

Local Learning Rules: Representations and Actions

Explores local learning rules for representations and actions, covering synaptic plasticity, reinforcement learning, and good representations.

Spike-Timing Models of plasticity

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