# Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network

## TL;DR

This paper investigates complex spatiotemporal patterns called chimera states in a neuronal network of adaptive exponential integrate-and-fire neurons, revealing coexistence of synchronized and desynchronized domains with dynamic switching between spike and burst activities.

## Contribution

It demonstrates the existence of spike-burst chimera states and multicluster configurations in an adaptive neuronal network, highlighting dynamic activity switching.

## Key findings

- Coexistence of spike and burst activities in chimera states.
- Dynamic switching between spike and burst activities over time.
- Existence of multicluster chimera states.

## Abstract

Chimera states are spatiotemporal patterns in which coherence and incoherence coexist. We observe the coexistence of synchronous (coherent) and desynchronous (incoherent) domains in a neuronal network. The network is composed of coupled adaptive exponential integrate-and-fire neurons that are connected by means of chemical synapses. In our neuronal network, the chimera states exhibit spatial structures both with spikes and bursts activities. Furthermore, those desynchronised domains not only have either spike or burst activity, but we show that the structures switch between spikes and bursts as the time evolves. Moreover, we verify the existence of multicluster chimera states.