Category: BrainCrit 2024 – Virtual Poster

Emotions play a fundamental role in modulating brain activity and influencing perception, cognition, and action. However, the underlying connectivity mechanisms associated with different emotional states remain poorly understood. The objective of this study is to investigate human brain connectivity in response to emotional stimuli of happiness, anger, sadness, fear, and neutral stimuli, using electroencephalogram (EEG) … Continue reading Poster 2024#15 – Cintia Ferreira da Silva – Emotions and Brain Connectivity: Phase, Coherence, and Directionality

Exploring how stress impacts sensory processing, particularly at the level of neuronal population dynamics in the primary sensory cortex, remains a relevant yet under-investigated area. In this study, we applied the Phenomenological Renormalization Group (PRG) method to analyze recordings from large neuronal populations in the primary visual cortex (V1) of urethane-anesthetized female rats subjected to … Continue reading Poster 2024#14 – Edson Noia – Phenomenological Renormalization Group analysis on population dynamics of the primary visual cortex under chronic stress

Delayed recovery from a crisis can cause damage to a system. However, the mechanism by which systems efficiently recover from crises is unknown. Here, we show that the strength of conditions for explosive synchronization, i.e., the proximity of a complex dynamical network to a first-order phase transition, determines whether a perturbed network will recover quickly … Continue reading Poster 2024#13 – UnCheol Lee – Proximity to Explosive Synchronization Determines Trajectory of Network Recovery after Neural or Economic Crisis

The assessment of consciousness using neuroimaging has increasingly focused on brain complexity and entropy, intrinsic features of critical systems that provide insight into transitions between dynamic regimes. Complexity measures have varied relationships to entropy, such as positively linear (type 1) or parabolic (type 2) interactions. By combining a type 2 complexity measure with entropy, we … Continue reading Poster 2024#12 – Derek Newman – Complexity, Entropy and Criticality: Assessing States of Consciousness Under Anesthesia

The critical point is crucial for information processing in the healthy brain. Thus, studies show the presence of a critical state with power-law distributed neuronal avalanches and other scaling properties, breaking the separation between an inactive state and a synchronized epileptic-like state, relating epileptic state and synchronization transition [1].In our study using the KTH model … Continue reading Poster 2024#11 – Sue Lam – KTH neuron map based: Optimal input reverberation at criticality

The critical brain hypothesis states that the brain can benefit from operating close to a second-order phase transition. While it has been shown that several computational aspects of sensory processing (e.g., sensitivity to input) can be optimal in this regime, it is still unclear whether these computational benefits of criticality can be leveraged by neural … Continue reading Poster 2024#10 – Shervin Safavi – Signatures of criticality in efficient coding networks

Understanding which features of network architecture are most important for shaping the collective activity patterns of neural circuits is a major goal of theoretical neuroscience. For example, what network properties influence critical exponents in neural circuits at critical points? Answering this question with theory requires tools from the renormalization group, which to date have not … Continue reading Poster 2024#9 – Braden A. W. Brinkman – A non-perturbative renormalization group analysis of stochastic spiking networks

The hypothesis that the brain operates near criticality explains observations of complex, often scale-invariant, neural activity. However, the brain is not static– its dynamical state varies depending on what an organism is doing. Neurons often become more synchronized (ordered) during unconsciousness and more desynchronized (disordered) in highly active awake conditions. Are all these states equidistant … Continue reading Poster 2024#8 – Sam Sooter – Cortex deviates from criticality during action and deep sleep: a temporal renormalization group approach

Recent advances in human intracranial recordings have significantly deepened our understanding of complex cognitive functions like working memory (WM) at the circuit level. While single-neuron analyses, primarily within the medial temporal lobes, have elucidated how individual neurons contribute to memory computation, the role of local field potential (LFP) dynamics in complementing single-unit activity during WM … Continue reading Poster 2024#7 – Renée Tung – Inhibitory circuit synchronization drives working memory dynamics

Predictive coding suggests that the brain minimizes free energy through the accurate prediction of sensory stimuli. While not mathematically identical, some research has suggested that information content of a brain signal can act as a proxy for free energy. Measures such as Shannon’s entropy and Shannon’s entropy rate may therefore be combined with experimental paradigms … Continue reading Poster 2024#6 – Michael Angyus – A spike in entropy precedes the mismatch negativity: linking entropy and prediction error