System-Level Cognitive Modeling with Ikaros
The goal of the Ikaros project is to develop an open infrastructure for system-level cognitive modelling. This includes system-level models of the brain, but also cognitive models that are not directly motivated by brain function. The article describes the background for the project and the
details of the Ikaros system.
The Brain Database - A Proof of Concept
To what extent can ideas and techniques from the semantic web be used for testing cognitive models against neuroscientific data? In this article, Marie Gustafsson describes a first attempt to use semantic web techniques for validation of computational brain models.
Results form the Ikaros Workshop
April 13, 2015, 23.41
The Ikaros workshop was a great success and we would like to thank everyone who contributed. It was great to hear your comments and insights. The most important conclusion was the need for a graphical editor as well as introductory tutorials with videos and example code. This will be the main focus in the next few months. Another point is the consensus concerning a server based approach.
May other interesting issues and suggestions were also discussed and we will try to incorporate
many of them in the future, one of them being a mechanism to store the state of the system.
Ikaros Workshop, 9 April
March 20, 2015
The first Ikaros workshop will be arranged at Lund University on April 9th and will include presentations from a number of researchers working with Ikaros and a discussion of the future of the system.
April 20, 2014
The Ikaros math library has been updated with functions for homogenous matrix operations. These functions simplifies the creation and manipulation of homogenous matrices and include a number of functions that parallels those for ordinary matrices.
Theses functions form the basis for a number of new modules in Ikaros that can be used for recognition of objects in three dimensions, localize of a robot based on visual landmarks, or for forward and inverse kinematics for a robot arm. There are also interfaces in the work that will allow conversion between homogenous matrices as spatial representations and population coding of space. This will make it possible to build hybrid systems where part of the robot control system uses traditional mathematical techniques and parts of the system uses more neuromorphic methods.