Brain organoids with Neanderthal genes: The genomes of Neanderthals and modern humans are overall very similar. To understand the impact of genetic variants that are specific to modern humans, Trujillo et al. performed a genome-wide analysis to identify 61 coding variants in protein-coding genes. Identifying the gene encoding the RNA-binding protein NOVA1 as a top candidate for functional analyses, they introduced the archaic gene variant into human pluripotent stem cells and generated brain organoids. These organoids showed alterations in gene expression and splicing as well as morphology and synaptogenesis, suggesting that this method could be used to explore other genetic changes that underlie the phenotypic traits separating our species from extinct relatives. Science , this issue p. eaax2537

We study the capacity of Hodgkin-Huxley neuron in a network to change temporarily or permanently their connections and behavior, the so called spike timing-dependent plasticity (STDP), as a function of their synchronous behavior. We consider STDP of excitatory and inhibitory synapses driven by Hebbian rules. We show that the final state of networks evolved by a STDP depend on the initial network configuration. Specifically, an initial all-to-all topology evolves to a complex topology. Moreover, external perturbations can induce co-existence of clusters, those whose neurons are synchronous and those whose neurons are desynchronous. This work reveals that STDP based on Hebbian rules leads to a change in the direction of the synapses between high and low frequency neurons, and therefore, Hebbian learning can be explained in terms of preferential attachment between these two diverse communities of neurons, those with low-frequency spiking neurons, and those with higher-frequency spiking neurons.

We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections, by constructing parameter spaces that identify these synchronous behaviours from measurements of the inter-spike interval and the calculation of the order parameter. Moreover, we verify the robustness of synchronisation by applying an external perturbation to each neuron. The simulations show that bursting synchronisation is more robust than spike synchronisation.