Spiking Neural Networks Courses and Certifications

tinyML

Neuromorphic Engineering Algorithms for Edge ML and Spiking Neural Networks

Explore hardware-efficient training methods for spiking neural networks, including surrogate gradients, temporal batch normalization, and bio-inspired learning.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

EDGE AI FOUNDATION

Bringing Neuromorphic Intelligence to the Edge with Spiking Neural Networks

Discover ultra-low-power neuromorphic microcontrollers using spiking neural networks for real-time edge AI applications in wearables and IoT devices.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

echohive

Spiking Neural Network from Scratch - Bio-Inspired, No Backpropagation or SGD

Discover how to build bio-inspired spiking neural networks from scratch without traditional backpropagation or SGD optimization methods.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Computational Neuroscience: Neuronal Dynamics of Cognition

1 rating

This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge

Explores how neuromorphic chips combine subthreshold analog dendritic computation with asynchronous digital axonal communication to address nanoscale transistor failures.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Online Course

Edan Meyer

A New Theory for How the Brain Learns

An accessible paper walkthrough on burst-dependent synaptic plasticity and biologically plausible learning in hierarchical neural circuits.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

tinyML

Bio-inspired Neuromorphic Circuits Architectures for Ultra-Low Power AI

Explore how brain-inspired neuromorphic circuits emulate neurons and synapses for robust, low-latency, ultra-low-power computation at the extreme edge.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

EDGE AI FOUNDATION

Tiny Spiking AI for Sensor-Edge Processing - From tinyML Summit 2023

Explore spiking neural networks (SNNs) and their application in sensor-edge computing, focusing on ultra-low power processing and pattern recognition for always-on sensing applications.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

tinyML

TinyML Talks France - How to Design a Power Frugal Hardware for AI - The Bio-Inspiration Path

Explore bio-inspired, power-frugal AI hardware using spiking neural networks and non-volatile memory to reduce data movement and energy consumption.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

tinyML

Bottom-up and Top-down Neural Processing Systems Design: Unveiling the Road Toward Neuromorphic Intelligence

Explore bottom-up and top-down approaches to designing neuromorphic processors for embedded cognition, including spiking hardware, on-chip learning, and edge-computing tradeoffs.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

EDGE AI FOUNDATION

Neuromorphic Computing - Bringing Brain-Like Intelligence to the Edge

Explore neuromorphic computing and spiking neural networks for ultra-low-power AI at the edge, featuring 10x performance gains over traditional systems in real-world applications.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

The Julia Programming Language

PEM-UDE for Neural Mass Models

Explore advanced scientific machine learning by combining prediction-error methods with universal differential equations to model chaotic systems and neural networks in Julia.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

EDGE AI FOUNDATION

Gaining an Edge in AI with Neuromorphic Computing

Explore how neuromorphic computing revolutionizes AI by mimicking brain architecture, enhancing efficiency for edge processing, with insights on spiking models and industry applications.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

NHR@FAU

Neuromorphic Computing from the Computer Science Perspective - Algorithms and Applications

Explore neuromorphic computing from a computer science lens, focusing on spiking neural networks, algorithms, and real-world applications from scientific data analysis to autonomous vehicles.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

The Julia Programming Language

Introduction to Computational Neuroscience with Neuroblox.jl

Dive into computational neuroscience using Neuroblox.jl to simulate brain dynamics from single neurons to large circuits, with hands-on model building and data fitting in Julia.

• YouTube
• 2 hours 44 minutes
• Self-Paced
• Free Video