Browsing Computer Science by Supervisor "Orchard, Jeff"

Now showing items 1-6 of 6

Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation

Khan, Ahmed Faraz (University of Waterloo, 2018-09-26)

Neurobiologically-plausible learning algorithms for recurrent neural networks that can perform supervised learning are a neglected area of study. Equilibrium propagation is a recent synthesis of several ideas in biological ...
Biological Plausibility in Modern Hopfield Networks

Snow, Mallory (University of Waterloo, 2022-12-19)

Modern Hopfield Networks (HNs) have the ability to store a large number of target memories (e.g. binary patterns) and then recall a memory in its entirety when prompted by a sub-set or perturbed version of it; in this ...
Biologically Plausible Neural Learning using Symmetric Predictive Estimators

Xu, David (University of Waterloo, 2016-08-04)

A predictive estimator (PE) is a neural microcircuit hypothesized to explain how the brain processes certain types of information. They participate in a hierarchy, passing predictions to lower layers, which send back ...
The Computational Advantages of Intrinsic Plasticity in Neural Networks

Shaw, Nolan (University of Waterloo, 2019-10-17)

In this work, I study the relationship between a local, intrinsic update mechanism and a synaptic, error-based learning mechanism in ANNs. I present a local intrinsic rule that I developed, dubbed IP, that was inspired by ...
Decay Makes Supervised Predictive Coding Generative

Sun, Wei (University of Waterloo, 2020-08-19)

Predictive Coding is a hierarchical model of neural computation that approximates backpropagation using only local computations and local learning rules. An important aspect of Predictive Coding is the presence of feedback ...
Learning-Free Methods for Goal Conditioned Reinforcement Learning from Images

Van de Kleut, Alexander (University of Waterloo, 2021-04-27)

We are interested in training goal-conditioned reinforcement learning agents to reach arbitrary goals specified as images. In order to make our agent fully general, we provide the agent with only images of the environment ...

Browsing Computer Science by Supervisor "Orchard, Jeff"

Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation ﻿

Biological Plausibility in Modern Hopfield Networks ﻿

Biologically Plausible Neural Learning using Symmetric Predictive Estimators ﻿

The Computational Advantages of Intrinsic Plasticity in Neural Networks ﻿

Decay Makes Supervised Predictive Coding Generative ﻿

Learning-Free Methods for Goal Conditioned Reinforcement Learning from Images ﻿

Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation

Biological Plausibility in Modern Hopfield Networks

Biologically Plausible Neural Learning using Symmetric Predictive Estimators

The Computational Advantages of Intrinsic Plasticity in Neural Networks

Decay Makes Supervised Predictive Coding Generative

Learning-Free Methods for Goal Conditioned Reinforcement Learning from Images