AI News, Artificial Neural Networks/Hebbian Learning

Artificial Neural Networks/Hebbian Learning

Hebbian learning is one of the oldest learning algorithms, and is based in large part on the dynamics of biological systems.

This makes it a plausible theory for biological learning methods, and also makes Hebbian learning processes ideal in VLSI hardware implementations where local signals are easier to obtain.

Hebbian Learning and the LMS Algorithm

Posted for the Computational Intelligence Society Prof. Bernard Widrow, Professor of Electrical Engineering, Emeritus, Stanford ..

What is ANTI-HEBBIAN LEARNING? What does ANTI-HEBBIAN LEARNING mean? ANTI-HEBBIAN LEARNING meaning

What is ANTI-HEBBIAN LEARNING? What does ANTI-HEBBIAN LEARNING mean? ANTI-HEBBIAN LEARNING meaning - ANTI-HEBBIAN LEARNING definition ...

From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation

Synaptic plasticity is a major mechanism for adaptation, learning and memory. Yet current models struggle to link local synaptic changes to the acquisition of ...

Karel Svoboda (HHMI) Part 1: Optical studies of individual synapses

Neurons are connected to form complex networks by tiny junctions called synapses. Svoboda ..

Mu-ming Poo (UC Berkeley, CAS Shanghai) Part 1: The Cellular Basis of Learning and Memory

In part 1 of his lecture, Dr. Poo gives an overview of the cellular basis of learning and memory

Problem solving using rewarded STDP

Rewarded spike timing dependent plasticity(STDP) has been implicated as a possible learning mechanism. STDP is a plasticity mechanism that strengthens ...

Neural Networks 4: McCulloch & Pitts neuron

What is PHYSICAL NEURAL NETWORK? What does PHYSICAL NEURAL NETWORK mean?

What is PHYSICAL NEURAL NETWORK? What does PHYSICAL NEURAL NETWORK mean? PHYSICAL NEURAL NETWORK meaning - PHYSICAL NEURAL ...

STDP-based spiking deep convolutional neural networks for object recognition

This video shows the learning progress and neural activity of our proposed spiking deep neural network over the Caltech face/motorbike task. You can read ...

Building Neural Networks in Simbrain

0:12 Creating lines of neurons. 1:33 Copy / paste neurons. 2:33 Select Neurons then Randomize (Key sequence N then R). 3:00 Zoom and pan. 4:06 N then C ...