When Less Is More: Non-monotonic Spike Sequence Processing in Neurons
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Fundamental response properties of neurons centrally underly the computational capabilities of both individual nerve cells and neural networks. Most studies on neuronal input-output relations have focused on continuous-time inputs such as constant or noisy sinusoidal currents. Yet, most neurons communicate via exchanging action potentials (spikes) at discrete times. Here, we systematically analyze the stationary spiking response to regular spiking inputs and reveal that it is generically non-monotonic. Our theoretical analysis shows that the underlying mechanism relies solely on a combination of the discrete nature of the communication by spikes, the capability of locking output to input spikes and limited resources required for spike processing. Numerical simulations of mathematically idealized and biophysically detailed models, as well as neurophysiological experiments confirm and illustrate our theoretical predictions.
Details
Original language | English |
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Article number | e1004002 |
Journal | PLOS computational biology |
Volume | 11 |
Issue number | 2 |
Publication status | Published - 3 Feb 2015 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
PubMed | 25646860 |
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ORCID | /0000-0002-5956-3137/work/142242466 |