Category: BrainCrit 2022 – Virtual Poster

We introduce a neural network model to study the effect of synchronization on the encoding capacity and spreading spikes in more realistic situation. In this model the neural network is composed of excitatory and inhibitory neurons and long-lasting synaptic current operated by heterogeneous Poisson synaptic input. Based on numerical integration, we find three different regimes … Continue reading Poster 2022#11 – Jungyoung KIM – Synaptic I/E ratio affects neural network synchronization and computational capabilities

The critical brain hypothesis states that the cortex operates near a continuous phase transition between absorbing and active states. At the critical point, the network spiking activity would be characterized by neuronal avalanches with size and duration probability distributions given by power laws with well-defined critical exponents. However, experimental measurements show multiple pairs of exponents … Continue reading Poster 2022#12 – Flavio R. RUSCH – Self-organized quasi-criticality in hierarchical modular networks of Galves-Löcherbach neurons

Maximum-entropy models have been successfully applied to neuronal data stemming from diverse areas like cortex, hippocampus or the retina. Despite this success, it features the major drawback of being restricted to describing every neuron to be in one out of two states: in a given time bin, either there was at least one spike or … Continue reading Poster 2022#13 – Tobias KÜHN – Inference methods for spike-count neurons: how not to lose spikes

The advent of novel opto-genetics technology allows the recording of brain activity with a resolution never seen before. The characterization of these very large data sets offers new challenges as well as unique theory-testing opportunities. Here we discuss whether the spatial and temporal correlation of the collective activity of thousands of neurons is tangled as … Continue reading Poster 2022#14 – Sabrina CAMARGO – Scale-free correlations in the dynamics of a small (N ~ 10000) cortical network

Partial phase synchronization, also reported as neuron cooperation, is a pivotal behavior of the brain and related to its main features, such as memory. We report here how individual characteristics of the local dynamics of neurons coupled in a network may be a fundamental player in the phase synchronization process. Global and small-world topologies are … Continue reading Poster 2022#15 – Emanuel CAMBRAIA – The influence of the local dynamics in the phase synchronization of a network of Hindmarsh-Rose neurons

In this work, we study the dynamic range (DR) of a neuronal network of excitable neurons with excitatory and inhibitory synapses. We obtain an analytical expression for the critical point as a function of the excitatory and inhibitory synaptic intensities. We also determine an analytical expression that gives the critical point value in which the … Continue reading Poster 2022#16 – Enrique C. GABRICK – Dynamic range on the criticality as a function of the excitatory and inhibitory synaptic intensities [VIDEO]

During rest, intrinsic neural dynamics manifest at multiple timescales, which progressively increase along visual and somatosensory hierarchies. Theoretically, intrinsic timescales are thought to facilitate processing of external stimuli at multiple stages. However, direct links between timescales at rest and sensory processing, as well as translation to the auditory system are lacking. Here, we used intracranial … Continue reading Poster 2022#17 – Riccardo CUSINATO – Intrinsic neural timescales in the temporal lobe support an auditory processing hierarchy

Neurons in the brain are wired into adaptive networks that exhibit a range of collective dynamics. Oscillations, for example, are paradigmatic synchronous patterns of neural activity with a defined temporal scale. Neuronal avalanches, in contrast, are scale-free cascades of neural activity, often considered as evidence of brain tuning to criticality. While models have been developed … Continue reading Poster 2022#18 – Fabrizio LOMBARDI – Adaptive neural networks explain coexistence of avalanches and oscillations in resting human brain

Working memory requires large-scale coordination among widespread cortical and subcortical brain regions. Long-range coherence between the oscillatory activity of distant regions, arising in multiple frequency bands, may be a mechanism supporting information routing and integration across large-scale distributed multi-regional networks. In line with this hypothesis, the strength of long-range coherence links between frontal and parietal … Continue reading Poster 2022#19 – Vinicius LIMA – Weak but coordinated inter- regional coherence is modulated by working memory content [ANIMATED SLIDES]

A homeostatic mechanism that keeps the brain highly susceptible to stimuli and optimizes many of its functions -- although this is a compelling theoretical argument in favor of the brain criticality hypothesis, the experimental evidence accumulated during the last two decades is still not entirely convincing, causing the idea to be seemingly unknown in the … Continue reading Poster 2022#20 – Mauricio GIRARDI-SCHIAPPO – Brain criticality beyond avalanches: open problems and how to approach them