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