Neurithmic Systems™

Our goal is to discover the fundamental information processing algorithms implemented
in biological brains and apply them to demanding computational problems.

Hierarchical Spatiotemporal Distributed Memory Traces

Macrocolumns store chains of sparse distributed codes

Hierarchically Progressive Persistence

Mapping Local Evidence to Win Probability base on Global Familiarity

Canonical cortical macro/micro-circuit

Sparse Distributed Coding and Quantum Computing

 

http://people.brandeis.edu/~grinkus/Hierarchical_progressive_persistence.html