Entropy of Neuronal Spike Patterns
Neuronal spike patterns are the fundamental units of neural communication in the brain, which is still not fully understood. Entropy measures offer a quantitative framework to assess the variability and information content of these spike patterns. By quantifying the uncertainty and informational con...
Saved in:
| Main Author: | Artur Luczak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/26/11/967 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A model based rule for selecting spiking thresholds in neuron models
by: Frederik Riis Mikkelsen
Published: (2015-12-01) -
All‐Ferroelectric Spiking Neural Networks via Morphotropic Phase Boundary Neurons
by: Jangsaeng Kim, et al.
Published: (2024-11-01) -
Spike reliability is cell type specific and shapes excitation and inhibition in the cortex
by: Simone Russo, et al.
Published: (2025-01-01) -
Ultra-Low Static Power Circuits Addressing the Fan-Out Problem of Analog Neuron Circuits in Spiking Neural Networks
by: Jonghyuk Park, et al.
Published: (2025-01-01) -
Maximizing information in neuron populations for neuromorphic spike encoding
by: Ahmad El Ferdaoussi, et al.
Published: (2025-01-01)