Model of the early development of thalamo-cortical connections and area patterning via signaling molecules

Biology – Quantitative Biology – Neurons and Cognition

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

brain, model, neural development, cortical area patterning, signaling molecules

Scientific paper

The mammalian cortex is divided into architectonic and functionally distinct areas. There is growing experimental evidence that their emergence and development is controlled by both epigenetic and genetic factors. The latter were recently implicated as dominating the early cortical area specification. In this paper, we present a theoretical model that explicitly considers the genetic factors and that is able to explain several sets of experiments on cortical area regulation involving transcription factors Emx2 and Pax6, and fibroblast growth factor FGF8. The model consists of the dynamics of thalamo- cortical connections modulated by signaling molecules that are regulated genetically, and by axonal competition for neocortical space. The model can make predictions and provides a basic mathematical framework for the early development of the thalamo-cortical connections and area patterning that can be further refined as more experimental facts become known.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Model of the early development of thalamo-cortical connections and area patterning via signaling molecules does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Model of the early development of thalamo-cortical connections and area patterning via signaling molecules, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Model of the early development of thalamo-cortical connections and area patterning via signaling molecules will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-351687

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.