Unsupervised Learning with Spike-Timing Dependent Plasticity

Our brain is a source of great inspiration for the development of Artificial General Intelligence. In fact, one of the common views is that any effort in developing human-level AI is almost destined to fail without an…

New approaches to Deep Networks:

Capsules (Hinton), HTM (Numenta), Sparsey (Neurithmic Systems) and RCN (Vicarious)

Literature Review: ‘A Distributional Perspective on Reinforcement Learning’

This article assesses the research paper, ‘A Distributional Perspective on Reinforcement Learning’ by the authors, Marc G. Bellemare, Will Dabney and Remi Munos, published in the proceedings of the…

Attention in Artificial Intelligence systems

One of the features of our brain is its modularity. It is characterised by distinct but interacting subsystems that underlie key functions such as memory, language, perceptions, etc. Understanding the complex interplay between these modules requires…

Reinforcement Learning

Today’s blog post is about Reinforcement Learning (RL), a concept that is very relevant to Artificial General Intelligence. The goal of RL is to create an agent that can learn to behave optimally in an environment by observing the consequences — rewards — of its own actions. By…

Pyramidal Neurons and Predictive Coding

Today’s post tries to fit the theoretical concept of Predictive Coding with the unusual structure and connectivity of Pyramidal cells in the Neocortex.

A reconstruction of a pyramidal cell (source: Wikipedia / Wikimedia Commons). Soma…

Continuous Learning

The standard machine learning approach is to learn to accomplish a specific task with an associated dataset. A model is trained using the dataset and is only able to perform that one task. This is in stark contrast to animals which continue to learn throughout life and accumulate and…

Reading list — August 2017

1. Neuroscience-inspired Artificial Intelligence

Authors: Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, and Matthew Botvinick
 Type: Review article in Neuron
 Publication date: 19 July 2017