Short-term Synaptic Depression Improves Error-correcting Ability in Cortical Circuits

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

33pages, 10figures

Scientific paper

Synaptic connections are known to change dynamically. High-frequency presynaptic inputs induce decrease of synaptic weights. This process is known as short-term synaptic depression. The synaptic depression controls a gain for presynaptic inputs. However, it remains a controversial issue what are functional roles of this gain control. We propose a new hypothesis that one of the functional roles is to enlarge basins of attraction. To verify this hypothesis, we employ a binary discrete-time associative memory model which consists of excitatory and inhibitory neurons. It is known that the excitatory-inhibitory balance controls an overall activity of the network. The synaptic depression might incorporate an activity control mechanism. Using a mean-field theory and computer simulations, we find that the basins of attraction are enlarged whereas the storage capacity does not change. Furthermore, the excitatory-inhibitory balance and the synaptic depression work cooperatively. This result suggests that the synaptic depression works to improve an error-correcting ability in cortical circuits.

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

Short-term Synaptic Depression Improves Error-correcting Ability in Cortical Circuits 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 Short-term Synaptic Depression Improves Error-correcting Ability in Cortical Circuits, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Short-term Synaptic Depression Improves Error-correcting Ability in Cortical Circuits will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-455316

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