"For the analysis of coding mechanisms in the insect olfactory system, a fully connected network of synchronously updated
McCulloch and Pitts neurons (MC-P type) was (previously) developed. ... Considering the update time as an intrinsic clock, this “Dynamic
Neural Filter” (DNF), which maps regions of input space into spatio-temporal sequences of neuronal activity, is able to produce
exact binary codes extracted from the synchronized activities recorded at the level of projection neurons (PN) in the locust antennal
lobe (AL) in response to different odors
...
We find synaptic matrices which lead to both the emergence of robust oscillations and spatio-temporal patterns, using a
formal criterion, based on a Normalized Euclidian Distance (NED), in order to measure the use of the temporal dimension as a
coding dimension by the DNF. Similarly to biological PN, the activity of excitatory neurons in the model can be both phase-locked
to different cycles of oscillations which (is reminiscent of the) local field potential (LFP), and nevertheless exhibit dynamic behavior complex
enough to be the basis of spatio-temporal codes."
Reference: Horcholle-Bossavit G, Quenet B, Foucart O (2007) Oscillation and coding in a formal neural network considered as a guide for plausible simulations of the insect olfactory system. Biosystems 89:244-56 [PubMed] |
