Neurons are connected to other neurons by axons and dendrites that conduct signals with finite velocities, resulting in delays between the firing of a neuron and the arrival of the resultant impulse at other neurons. Since delays greatly complicate the analytical treatment and interpretation of models, they are usually neglected or taken to be uniform, leading to a lack in the comprehension of the effects of delays in neural systems. This letter shows that heterogeneous transmission delays make small groups of neurons respond selectively to inputs with differing frequency spectra. By studying a single integrate-and-fire neuron receiving correlated time-shifted inputs, it is shown how the frequency response is linked to both the strengths and delay times of the afferent connections. The results show that incorporating delays alters the functioning of neural networks, and changes the effect that neural connections and synaptic strengths have.
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August 2021
July 26 2021
Frequency Selectivity of Neural Circuits With Heterogeneous Discrete Transmission Delays
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Akke Mats Houben
Akke Mats Houben
Independent researcher, Houten, Netherlands akkehouben@gmail.com
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Akke Mats Houben
Independent researcher, Houten, Netherlands akkehouben@gmail.com
Received:
November 28 2020
Accepted:
February 24 2021
Online ISSN: 1530-888X
Print ISSN: 0899-7667
© 2021 Massachusetts Institute of Technology
2021
Massachusetts Institute of Technology
Neural Computation (2021) 33 (8): 2068–2086.
Article history
Received:
November 28 2020
Accepted:
February 24 2021
Citation
Akke Mats Houben; Frequency Selectivity of Neural Circuits With Heterogeneous Discrete Transmission Delays. Neural Comput 2021; 33 (8): 2068–2086. doi: https://doi.org/10.1162/neco_a_01404
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