[HTML][HTML] The quest for multiscale brain modeling

E D'Angelo, V Jirsa - Trends in neurosciences, 2022 - cell.com
Addressing the multiscale organization of the brain, which is fundamental to the dynamic
repertoire of the organ, remains challenging. In principle, it should be possible to model …

Cerebellum involvement in dystonia during associative motor learning: insights from a data-driven spiking network model

A Geminiani, A Mockevičius, E D'Angelo… - Frontiers in Systems …, 2022 - frontiersin.org
Dystonia is a movement disorder characterized by sustained or intermittent muscle
contractions causing abnormal, often repetitive movements, postures, or both. Although …

Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation

S Masoli, MF Rizza, M Tognolina, F Prestori… - Frontiers in …, 2022 - frontiersin.org
The neuroscientific field benefits from the conjoint evolution of experimental and
computational techniques, allowing for the reconstruction and simulation of complex models …

A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits

D Gandolfi, J Mapelli, S Solinas, R De Schepper… - Scientific Reports, 2022 - nature.com
The modeling of extended microcircuits is emerging as an effective tool to simulate the
neurophysiological correlates of brain activity and to investigate brain dysfunctions …

Non-linear frequency dependence of neurovascular coupling in the cerebellar cortex implies vasodilation–Vasoconstriction competition

G Gagliano, A Monteverdi, S Casali, U Laforenza… - Cells, 2022 - mdpi.com
Neurovascular coupling (NVC) is the process associating local cerebral blood flow (CBF) to
neuronal activity (NA). Although NVC provides the basis for the blood oxygen level …

Discovering microcircuit secrets with multi-spot imaging and electrophysiological recordings: The example of cerebellar network dynamics

M Tognolina, A Monteverdi, E D'Angelo - Frontiers in Cellular …, 2022 - frontiersin.org
The cerebellar cortex microcircuit is characterized by a highly ordered neuronal architecture
having a relatively simple and stereotyped connectivity pattern. For a long time, this …

Bayesian Integration in a Spiking Neural System for Sensorimotor Control

M Grillo, A Geminiani, C Alessandro, E D'Angelo… - Neural …, 2022 - direct.mit.edu
The brain continuously estimates the state of body and environment, with specific regions
that are thought to act as Bayesian estimator, optimally integrating noisy and delayed …

Design, implementation, and functional validation of a new generation of microneedle 3D high-density CMOS multi-electrode array for brain tissue and spheroids

L Mapelli, O Dubochet, M Tedesco, G Sciacca… - bioRxiv, 2022 - biorxiv.org
In the last decades, planar multi-electrode arrays (MEAs) have been widely used to record
activity from in vitro neuronal cell cultures and tissue slices. Though successful, this …

Cerebellum involvement in dystonia: insights from a spiking neural network model during associative learning

A Geminiani, A Mockevičius, E D'Angelo… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Dystonia is a neurological movement disorder characterized by twisting and repetitive
movements or abnormal fixed postures. This complex brain disease has usually been …

Cross-comparison of state of the art neuromorphological simulators on modern CPUs and GPUs using the Brain Scaffold Builder

R De Schepper, NA Akar, T Hater, BFB Huisman… - BioRxiv, 2022 - biorxiv.org
ABSTRACT A variety of software simulators exist for neuronal networks, and a subset of
these tools allow the scientist to model neurons in high morphological detail. The scalability …