• 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 ...
    • Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks 

      Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (Chapter, 2020)
      In the brain, the structure of a network of neurons defines how these neurons implement the computations that underlie the mind and the behavior of animals and humans. Provided that we can describe the network of neurons ...
    • 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 ...
    • Towards Making a Cyborg: A Closed-Loop Reservoir-Neuro System 

      Aaser, Peter; Knudsen, Martinius; Huse Ramstad, Ola; van de Wijdeven, Rosanne; Nichele, Stefano; Sandvig, Ioanna; Tufte, Gunnar; Bauer, Ulrich Stefan; Halaas, Øyvind; Hendseth, Sverre; Sandvig, Axel; Valderhaug, Vibeke Devold (Chapter; Peer reviewed, 2017)
      The human brain is a remarkable computing machine, i.e. vastly parallel, self-organizing, robust, and energy efficient. To gain a better understanding into how the brain works, a cyborg (cybernetic organism, a combination ...