Browsing NTNU Open by Author "Heiney, Kristine"
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Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches
Heiney, Kristine; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (Chapter, 2020)In this work, we report the preliminary analysis of the electrophysiological behavior of in vitro neuronal networks to identify when the networks are in a critical state based on the size distribution of network-wide ... -
Criticality as a measure of developing proteinopathy in engineered human neural networks
Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (Journal article, 2020)A patterned spread of proteinopathy represents a common characteristic of many neurodegenerative diseases. In Parkinson’s disease (PD), misfolded forms of alpha-synuclein proteins aggregate and accumulate in hallmark ... -
Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation
Heiney, Kristine; Huse Ramstad, Ola; Fiskum, Vegard; Christiansen, Nicholas; Sandvig, Axel; Nichele, Stefano; Sandvig, Ioanna (Peer reviewed; Journal article, 2021)It has been hypothesized that the brain optimizes its capacity for computation by self-organizing to a critical point. The dynamical state of criticality is achieved by striking a balance such that activity can effectively ... -
Deciphering and emulating neuronal communication: Population-level computation from elemental interactions
Heiney, Kristine (Doctoral theses at NTNU;2023:220, Doctoral thesis, 2023)This thesis explores computation in neural systems and how we might draw inspiration from it in designing computational systems. The research conducted for this thesis encompasses both neural data analysis and computational ... -
Development of a tailored microfluidic platform with improved electrical signal detection for in vitro studies of neural networks and neural network pathology
Winter-Hjelm, Nicolai (Master thesis, 2020)Menneskets nervesystem utgjør verdens mest avanserte evolusjonære maskineri. Gjennom dets høyst intrikate arkitektur og beregningsevner kontrollerer det oppgaver så funksjonelt forskjellige som muskelbevegelser og lagring ... -
Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks
Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (Peer reviewed; Journal article, 2021)A patterned spread of proteinopathy represents a common characteristic of many neurodegenerative diseases. In Parkinson’s disease (PD), misfolded forms of α-synuclein proteins accumulate in hallmark pathological inclusions ... -
Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches
Heiney, Kristine; Valderhaug, Vibeke Devold; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (Peer reviewed; Journal article, 2021)The human brain has a remarkable capacity for computation, and it has been theorized that this capacity arises from the brain self-organizing into the critical state, a dynamical state poised between ordered and dis- ordered ... -
Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks
Farner, Jørgen Jensen; Huse Ramstad, Ola; Nichele, Stefano; Heiney, Kristine (Chapter, 2023)We propose a novel local learning rule for spiking neural networks in which spike propagation times undergo activity-dependent plasticity. Our plasticity rule aligns pre-synaptic spike times to produce a stronger and more ... -
Structural and functional alterations associated with the LRRK2 G2019S mutation revealed in structured human neural networks
Valderhaug, Vibeke Devold; Huse Ramstad, Ola; van de Wijdeven, Rosanne Francisca; Heiney, Kristine; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (Journal article, 2020)Mutations in the LRRK2 gene have been widely linked to Parkinson’s disease. The G2019S variant has been shown to contribute uniquely to both familial and sporadic forms of the disease. LRRK2-related mutations have been ... -
Structural Effects on the Computational Capacity of Neural Networks
Bjugn, Isak Kyrre Lichtwarck (Master thesis, 2020)Måten nevroner er forbundet til hverandre har stor påvirkning på et nevralt nettverks evne til å utføre beregninger. Akkurat slike beregninger er sentrale for funksjonen til sentralnervesystemet, og er en global egenskap ...