1 / 7

Case Study: Frequency Modulation in spiking network activity

Case Study: Frequency Modulation in spiking network activity. Spiking neurons and network. Twenty neurons (Izhikevich model neurons) 4 excitatory input units 10 excitatory and 2 inhibitory units 4 excitatory output units Input is phasic activity (frequencies from 100-1000Hz).

maya
Download Presentation

Case Study: Frequency Modulation in spiking network activity

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Case Study: Frequency Modulation in spiking network activity

  2. Spiking neurons and network • Twenty neurons (Izhikevich model neurons) • 4 excitatory input units • 10 excitatory and 2 inhibitory units • 4 excitatory output units • Input is phasic activity (frequencies from 100-1000Hz). • Output is tonic activity (frequencies from 10-100Hz). • Connectivity and synaptic strengths are determined by a fitness function. • Two fitness terms: • Arithmetic mean of Inter Spiking Intervals (ISI) of output neurons to target ISI (25, 50, 75, 100 ms) • Variance of ISI of output neurons

  3. Example: Frequency modulation of Tonic activity at ISI of 75ms

  4. Frequency Modulation Connectivity tuned to ISI of 75ms Connectivity tuned to ISI of 25ms

  5. Does Inhibition actually affect network performance?

  6. Apparently, Yes…

  7. Conclusions • Linear relation between input/output discharge frequencies. • Slope of relationship is determined by network structure that is tuned to a target ISI’s. • Inhibition affect’s network’s performance. Is there an optimal balance? • BUT, all this still doesn’t explain how modulated frequency can persistent in such a network. Mmm…?

More Related