By Miguel Muñoz (Granada, Spain) https://videopress.com/v/CzF4hheZ?resizeToParent=true&cover=true&posterUrl=https%3A%2F%2Fbraincriticality.org%2Fwp-content%2Fuploads%2F2026%2F03%2Fs3_miguel_munoz_mp4_avc_240p.original.jpg&preloadContent=metadata&useAverageColor=true
Spotlight 2024 – Day3 – #4 | – Afshin MONTAKHAB – Criticality and phase transition in a network model of neuronal dynamics with synaptic plasticity
By Afshin Montakhab (California Polytechnic State University, San Luis Obispo, California). November 8th, 2024. In this work, we study a discrete probabilistic neuron-based model on a random network governed by specific dynamic rules to investigate potential phase transitions, including absorbing, synchronization, and chaotic transitions. The primary objective is to determine how these transitions contribute to … Continue reading Spotlight 2024 – Day3 – #4 | – Afshin MONTAKHAB – Criticality and phase transition in a network model of neuronal dynamics with synaptic plasticity
Spotlight 2024 – Day3 – #2 | – Antonio FONTENELE – Neuromodulatory control of critical brain dynamics
By Antonio Fontenele (University of Arkansas, Fayetteville, AR). November 8th, 2024. It has long been suggested that the brain operates near the critical point of a phase transition. However, the mechanisms by which the brain mediates this criticality remain poorly understood. In this study, we propose that the arousal system acts as a key biological … Continue reading Spotlight 2024 – Day3 – #2 | – Antonio FONTENELE – Neuromodulatory control of critical brain dynamics
Poster 2024#14 – Edson Noia – Phenomenological Renormalization Group analysis on population dynamics of the primary visual cortex under chronic stress
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
Poster 2024#13 – UnCheol Lee – Proximity to Explosive Synchronization Determines Trajectory of Network Recovery after Neural or Economic Crisis
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
Poster 2024#12 – Derek Newman – Complexity, Entropy and Criticality: Assessing States of Consciousness Under Anesthesia
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
Poster 2024#11 – Sue Lam – KTH neuron map based: Optimal input reverberation at criticality
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
Poster 2024#10 – Shervin Safavi – Signatures of criticality in efficient coding networks
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
Poster 2024#9 – Braden A. W. Brinkman – A non-perturbative renormalization group analysis of stochastic spiking 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