Remembering the Future

A critical component of cognition is memory—the ability to store information, and to readily retrieve it on cue. Existing models postulate that recalled items are represented by self-sustained activity; that is, they are represented by activity that can exist in the absence of input. These models, however, are incomplete, in the sense that they do not explain two salient experimentally observed features of persistent activity: low firing rates and high neuronal variability. Here we propose a model that can explain both. The model makes two predictions: changes in synaptic weights during learning should be much smaller than the background weights, and the fraction of neurons selective for a memory should be above some threshold. Experimental confirmation of these predictions would provide strong support for the model, and constitute an important step toward a complete theory of memory storage and retrieval.

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we no longer know how the brain holds so many memories. Roudi and Latham speculate that the answer lies in multiple, weakly coupled networks. However, until that, or some other idea, is shown to be correct, we will have to be content with just remembering, without the added knowledge of how we remember.

Topics: Memory | Representation

Labels: memory, Representation

The fallacy is to think that social networks are just made up of people. They're not; social networks consist of people who are connected by a shared object.

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The social networking services that really work are the ones that are built around objects. And, in my experience, their developers intuitively 'get' the object-centered sociality way of thinking about social life. Flickr, for example, has turned photos into objects of sociality. On del.icio.us the objects are the URLs. EVDB, Upcoming.org, and evnt focus on events as objects.

Topics: Web2.0 | Representation | Collaboration

Labels: Collaboration, Representation

When I consider what contributed to the unraveling of J2EE, one thing that stands out is that it tried to do too much. The promise was that of infinite scalability based on tooling, which assumes that designing scalable systems is a general case problem. I now firmly believe that this is flawed reasoning. Frameworks don't solve scalability problems, design solves scalability problems.

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I've come to evaluate frameworks based on two rough metrics: how far the framework goes in solving the general case problem out of the box and how little friction the framework creates when you have to solve the specific-case problem yourself. When a framework finds a balance between these two areas, we call it "well designed."

Topics: Design | Architecture | Representation

Labels: Architecture, Design, Representation

Memory encoding occurs rapidly, but the consolidation of memory in the neocortex has long been held to be a more gradual process. We now report, however, that systems consolidation can occur extremely quickly if an associative "schema" into which new information is incorporated has previously been created. In experiments using a hippocampal-dependent paired-associate task for rats, the memory of flavor-place associations became persistent over time as a putative neocortical schema gradually developed.

Topics: Brain | Representation | RDF | Architecture

Labels: Architecture, brain, RDF, Representation

I've got a few ideas that I will hopefully have time to prototype soon. These ideas link to my very first blog posts.

The real work of metadata driven architecture

Using Wiki Pidgin Languages to Dynamically Create Links for a Read/Write Web

XML backed Pidgin

Guy

Labels: Data2.0, Representation, Web2.0

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Rich metadata, simple data tables, REST processes

Topics: Representation | Meaning | Metadata

Labels: meaning, Metadata, Representation