Impact of axonal delay on structure development in a multi-layered network
Catherine E Davey, David B Grayden, Anthony N Burkitt

TL;DR
This paper investigates how distance-dependent axonal delays influence neural plasticity and visual processing, revealing their role in filtering, frequency response, and stability in multi-layered neural networks.
Contribution
It introduces the impact of propagation delays on neural learning, filtering, and stability, challenging the assumption of homogeneous delays in multi-layered models.
Findings
Propagation delay causes low-pass filtering of spike signals.
Delay influences frequency response and contrast sensitivity.
Delay affects inhibition and stability in neural networks.
Abstract
The mechanisms underlying how activity in the visual pathway may give rise through neural plasticity to many of the features observed experimentally in the early stages of visual processing was provided by Linkser in a seminal, three-paper series. Owing to the complexity of multi-layer models, an implicit assumption in Linsker's and subsequent papers has been that propagation delay is homogeneous and plays little functional role in neural behaviour. We relax this assumption to examine the impact of distance-dependent axonal propagation delay on neural learning. We show that propagation delay induces low-pass filtering by dispersing the arrival times of spikes from presynaptic neurons, providing a natural correlation cancellation mechanism for distal connections. The cut-off frequency decreases as the radial propagation delay within a layer increases relative to propagation delay between…
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