Skip to content


Mini, macro, micro and hyper columns: confusing terminology

Cell-type-specific 3D reconstruction of five neighboring barrel columns in rat vibrissal cortex (credit: Marcel Oberlaender et al.) It is well established that there is a functional columnar structure repeated throughout the cortex across species (the concept received significant attention after a study by Mountcastle in 1957 [1]; see [2] and… Read More »Mini, macro, micro and hyper columns: confusing terminology

Another look at the retina

by David Rawlinson and Gideon Kowadlo Why the retina is worth a deeper look Recently, we have been looking at the retina – light sensitive cell layers inside the eyeball, that detect wavelength and intensity, and compute some initial encoding of this data that is transmitted to the brain proper… Read More »Another look at the retina

The Arcade Learning Environment – a test suite for AGI

This might be our new test suite for the algorithms! “The Arcade Learning Environment (ALE) is a simple object-oriented framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games. It is built on top of the Atari 2600 emulator Stella and separates the details of… Read More »The Arcade Learning Environment – a test suite for AGI

The Real Risks of AI

By Punarjay Chakravarty In the past year or so, there has been a spate of high-profile pronouncements by respected scientists and engineers, cautioning the world about the potential ill-effects of AI. Stephen Hawking, one of the foremost experts on theoretical and astro physics told the BBC that “The development of… Read More »The Real Risks of AI

A response to “when is missing data a valid state?”

I recently published a post on the question of classifying ‘no input’ or missing data. There was a comprehensive reply by Fergal Byrne in a thread on the Nupic Theory mailing list. I am re-posting it here (below) as it provides a valuable perspective of the discussion in the context of human cortical function. Jan 24th… Read More »A response to “when is missing data a valid state?”

Sparse Distributed Representations (SDRs)

TL;DR: An SDR is a Sparse Distributed Representation, described below SDRs are biologically plausible data structures SDRs have powerful properties SDRs have received a lot of attention recently There are a few really great new resources on the topic: Presentation┬áby Subutai Ahmad of Numenta Older introductory presentation┬áby Jeff Hawkins Excellent… Read More »Sparse Distributed Representations (SDRs)