Talk 2024#DayX-Y – John DOE – Yet another criticality talk

By John Doe (Anywhere, Anyland). Lorem ipsum dolor sit amet, consectetur adipiscing elit [1]. Aenean pellentesque porta imperdiet. Etiam vitae mi a libero tempus imperdiet. Sed sagittis consequat arcu, vel scelerisque urna vestibulum a. Aliquam erat volutpat. Nullam cursus in lectus ac rhoncus. Cras ullamcorper non est sit amet tristique. Sed a vestibulum neque. Donec … Continue reading Talk 2024#DayX-Y – John DOE – Yet another criticality talk

Spotlight 2024 – Day3 – #1 | – Bryan DANIELS – Neural tuning for perceptual decisions

By Bryan Daniels (Arizona State University, Tempe, AZ). November 8th, 2024. While drift-diffusion models are known to be good at explaining decision dynamics at a coarse scale, there is still no consensus about the detailed neural mechanisms that produce these dynamics. Data from macaque cortical neurons shows that a perceptual decision appears to occur in … Continue reading Spotlight 2024 – Day3 – #1 | – Bryan DANIELS – Neural tuning for perceptual decisions

Spotlight 2024 – Day2 – #4 | – Davide CONTE – Inferring Global Exponents in Subsampled Neural Systems from Power Spectrum and DFA

By Davide Conte (University of Campania “Luigi Vanvitelli”, Caserta, Italy). November 7th, 2024. Understanding criticality in neural networks is essential for deciphering brain function and detecting pathological deviations. However, neural recordings often capture only a small fraction of the system, meaning that the local, subsampled behaviour may not accurately reflect global dynamics. In this study, … Continue reading Spotlight 2024 – Day2 – #4 | – Davide CONTE – Inferring Global Exponents in Subsampled Neural Systems from Power Spectrum and DFA

Spotlight 2024 – Day2 – #3 | – Damián DELLAVALE – Linking neuronal avalanches with oscillatory and broadband 1/f activities in the resting human brain

By Damián Dellavale (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Departamento de Física Médica (DFM), Instituto de Nanociencia y Nanotecnología (INN), Centro Atómico Bariloche (CAB)). November 7th, 2024. Brain oscillations, broadband 1/f activity and neuronal avalanches (NAs) are valuable conceptualizations extensively used to interpret brain data, yet, these perspectives have mainly progressed in parallel … Continue reading Spotlight 2024 – Day2 – #3 | – Damián DELLAVALE – Linking neuronal avalanches with oscillatory and broadband 1/f activities in the resting human brain

Spotlight 2024 – Day2 – #2 | – Sheng WANG – Assessing Seizure Risk in a Low-Dimensional Latent Space Derived from Brain Criticality Biomarkers

By Sheng H. Wang (CEA/NeuroSpin & Inria/MIND, France; University of Helsinki & Aalto University.). November 7th, 2024. Identifying the epileptogenic zone (EZ) for epilepsy surgery is challenging due to the unique complexity of each patient’s pathology. We have shown that individual EZs may encompass synchronized components with high-dimensional (high-D) criticality features. However, high feature dimensionality … Continue reading Spotlight 2024 – Day2 – #2 | – Sheng WANG – Assessing Seizure Risk in a Low-Dimensional Latent Space Derived from Brain Criticality Biomarkers

Spotlight 2024 – Day2 – #1 | – Gregory LEPEU – The critical dynamics of hippocampal seizures

By Grégory LEPEU (Lausanne University Hospital, Switzerland). November 7th, 2024. Epilepsy is defined by the abrupt emergence of harmful seizures, but the nature of these regime shifts remains enigmatic. From the perspective of dynamical systems theory, such critical transitions occur upon inconspicuous perturbations in highly interconnected systems and can be modeled as mathematical bifurcations between … Continue reading Spotlight 2024 – Day2 – #1 | – Gregory LEPEU – The critical dynamics of hippocampal seizures

Spotlight 2024 – Day1 – #4 | – Hardik RAJPAL – Differences in the scaling of spatial Information-processing signatures in mouse cortex

By Hardik Rajpal (Imperial College, London, UK). November 6th, 2024. The hypothesis that information processing properties emerge at this critical point has been of interest in neuroscience, inspiring a phenomenological framework for analysis of “neural avalanches” of activity that propagate with power-law distributions of size and duration. One important limitation of previous studies is the … Continue reading Spotlight 2024 – Day1 – #4 | – Hardik RAJPAL – Differences in the scaling of spatial Information-processing signatures in mouse cortex

Spotlight 2024 – Day1 – #3 | – Cédric STEFENS – Mesoscopic multiphoton calcium imaging reveals a confluence of overlapping avalanches with varying distance to criticality and distinct roles

By Cédric Stefens (Imperial College, London, UK). November 6th, 2024. The hypothesis that information processing properties emerge at this critical point has been of interest in neuroscience, inspiring a phenomenological framework for analysis of “neural avalanches” of activity that propagate with power-law distributions of size and duration. One important limitation of previous studies is the … Continue reading Spotlight 2024 – Day1 – #3 | – Cédric STEFENS – Mesoscopic multiphoton calcium imaging reveals a confluence of overlapping avalanches with varying distance to criticality and distinct roles

Spotlight 2024 – Day1 – #2 | Chaitanya CHINTALURI – What is the snow in a neural avalanche?

By Chaitanya Chintaluri (Institute of Science and Technology, Austria). November 6th, 2024. Neurons spike spontaneously in many experimental settings. Such firing patterns are often characterized by prolonged periods of silence followed by an unknown trigger of spontaneous activity that propagates throughout the slice. These were dubbed `neural avalanches' as they resemble avalanches in which accumulated … Continue reading Spotlight 2024 – Day1 – #2 | Chaitanya CHINTALURI – What is the snow in a neural avalanche?

Spotlight 2024 – Day1 – #1 | Xiaowen CHEN – Extended Anderson Criticality in Heavy-Tailed Neural Networks

By Xiaowen Chen (École Normale Supérieure, Paris, France). November 6th, 2024. Animal behavior occurs on time scales much longer than the response times of individual neurons. In many cases, it is plausible that these long time scales emerge from the recurrent dynamics of electrical activity in networks of neurons. In linear models, time scales are … Continue reading Spotlight 2024 – Day1 – #1 | Xiaowen CHEN – Extended Anderson Criticality in Heavy-Tailed Neural Networks