Sequential Sparsening by Successive Adaptation in Neural Populations
Farzad Farkhooi, Eilif Muller, Martin P. Nawrot

TL;DR
This paper investigates how spike-frequency adaptation in neurons contributes to the development of temporally sparse olfactory responses in insect neural circuits, aligning with experimental data.
Contribution
It demonstrates that intrinsic neuron mechanisms like spike-frequency adaptation can explain the progressive temporal sparsening in insect olfactory pathways.
Findings
Simulation matches experimental neural response patterns.
Neuron-intrinsic mechanisms can produce sparse coding.
Supports hypothesis for adaptation-driven sparsening.
Abstract
In the principal cells of the insect mushroom body, the Kenyon cells (KC), olfactory information is represented by a spatially and temporally sparse code. Each odor stimulus will activate only a small portion of neurons and each stimulus leads to only a short phasic response following stimulus onset irrespective of the actual duration of a constant stimulus. The mechanisms responsible for the sparse code in the KCs are yet unresolved. Here, we explore the role of the neuron-intrinsic mechanism of spike-frequency adaptation (SFA) in producing temporally sparse responses to sensory stimulation in higher processing stages. Our single neuron model is defined through a conductance-based integrate-and-fire neuron with spike-frequency adaptation [1]. We study a fully connected feed-forward network architecture in coarse analogy to the insect olfactory pathway. A first layer of ten neurons…
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