Capo Caccia 2009 Workshop

Organised by the Institute of Neuroinformatics (INI), ETH / UZH, Zurich, in collaboration with the Institute of Neuromorphic Engineering (INE), the series of "Capo Caccia Workshops toward Cognitive Neuromorphic Engineering" represents a new initiative started in 2007 to promote research and education in Neuromorphic Engineering.

The 2009 CapoCaccia Cognitive Neuromorphic Engineering Workshop will be held from April 26 to May 10, 2009.

World Technology Evaluation Center mentions Daisy in its latest report

Here is a study on the Worldwide State-of-the-Art in Brain-Computer Interfaces: NSF and other agencies of the US government commissioned a stock-taking study on the worldwide status of R&D in brain-computer interfaces (BCI). It positions European BCI research in the global scene, quoting several projects funded by the ICT programme, in particular FET. The study also discusses the strengths of the European cooperative research model with respect those applied in other funding schemes.

The report is available at

SECO project

A new EU research project, incorporating many of the DAISY consortium members, has just been launched. The SECO (Self-Construction) project will propose methods for designing and implementing self-constructing systems, such as the mammalian neocortex.

Group repositories added

File repositories for each group have been added to the private section. Use these areas to share presentations and other non-deliverable information.

Neocortical Daisy Architectures and Graphical Models for Context-Dependent Processing

This project is funded by EU IST Future and Emerging Technologies (FP6-2004-IST3) program: ‘Bio-Inspired Intelligent Information Systems’
(Daisy grant number: FP6-2005-015803)

Neocortex has a uniform architecture (the ‘daisy architecture’, DA) consisting of a lattice of patchy populations of pyramidal neurons within cortical areas, and their embedding within inter-areal connections. Our hypothesis is that the DA supports self-organized, context-dependent processing; and that it can be reverse-engineered to provide a major advance in Information Technology by offering novel methods for scalable, distributed, autonomous computation.

We use a combination of neuroanatomical, imaging, theoretical, and hardware engineering methods to evaluate and develop this hypothesis, in a project executed by an inter-disciplinary consortium with record of excellent contributions to research.

We characterize the DA by quantitative neuroanatomical methods and high spatio-temporal resolution imaging of fields of neuronal activity. We explore two candidate models of computation on the DA: graphical models such as Bayesian Networks and Factor Graphs that factor complicated global functions into a product of simpler ones; and Dynamic Link Architectures that encode and recognize objects by dynamic composition of neuronal interactions. We implement examples of these computational styles in hybrid analog/digital CMOS VLSI circuits that can contribute to the ‘End of Moore’s Law Problem’ by demonstrating how existing CMOS technology could be more efficiently deployed than in clocked digital systems.

We consider that computations in DA have a semantic interpretation, in which meaning is expressed by reproducibly linked activity patterns that carry significance in relation to perception and action. We explore this relationship by imaging the activity of cortical neurons as they respond to stimuli chosen for perceptual significance, and by construction of object recognition systems that extract meaningful invariances from examples. These results would be an advance toward incorporating implicit world semantics into computation.


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