Information science at CU Boulder

Draft CU - NEES - 06 - 3 NEES at CU Boulder

eCortex and the Computational Cognitive Neuroscience Lab at CU Boulder

forms of cognition are “anchored” in concrete sensory-motor neural representations, and the particular “natural logic” that we learn so well in its concrete manifestations (i.e., an intuitive understanding of space, time, and everyday physics) can be leveraged when we launch off into new realms of understanding. In other words, all our knowledge and cognition is based on an analogy to something...

Csci 3104, Cu-boulder Lectures 29 – 31

Suppose we have a set of items V along with a set of allowed pairings of items E : V × V , which defines a graph G = (V,E). A matching on this graph is a subset of edges E′ ⊆ E such that each vertex in V participates in at most one edge in E′. Call V ′ the set of vertices that participate in some edge e ∈ E′, and let M = (V ′, E′) denote a matching. Depending on additional requirements, we may ...

Cu+Cu Collisions at STAR

We present the mid-rapidity (D +D)/2 yield measured in √ sNN = 200 GeV Cu+Cu collisions at RHIC via direct reconstruction through the Kπ decay channel. A charm cross-section is reported and compared to theoretical predictions and to previous RHIC experimental results.

Information Theory at the Service of Science

Information theory is becoming more and more important for many fields. This is true for engineeringand technology-based areas but also for more theoretically oriented sciences such as probability and statistics. Aspects of this development is first discussed at the non-technical level with emphasis on the role of information theoretical games. The overall rationale is explained and central typ...