Skip to ContentSkip to Navigation
Over onsNieuws en agendaNieuwsberichten

Sander Bohte - Efficient Adaptive Spike-Coding in a Spike Response Model

25 september 2012
Neural adaptation underlies the ability of neurons to maximize encoded information over a wide dynamic range of input stimuli. While adaptation is an intrinsic feature of neuronal  models like the Hodgkin-Huxley model, the challenge is to integrate adaptation in models of neural computation. Taking a cue from kinetic models of adaptation, we propose an  Adaptive Spike Response Model where the spike-triggered adaptation dynamics are scaled multiplicatively by the adaptation state at the time of spiking. We show that in such a model, the firing rate in the multiplicative adaptation model saturates to a maximum spike-rate. When simulating variance-switching experiments, the model also quantitatively fits the experimental data over a wide dynamic range. Furthermore, such multiplicative spike-triggered adaptation suggests a straightforward interpretation of neural activity in terms of dynamic signal encoding with shifted and weighted exponential kernels. We show that when thus encoding rectified filtered stimulus signals, the Adaptive Spike Response Model achieves a high coding efficiency and maintains this efficiency over changes in the dynamic signal range of several orders of magnitude, without changing model parameters.
Laatst gewijzigd:31 mei 2018 16:05

Meer nieuws

  • 12 december 2018

    Vervuiling leidt tot risico's voor Arctische ganzen

    Vervuiling van lucht, water en bodem kan verstrekkende gevolgen hebben voor dieren in poolgebieden. Een internationaal team onder leiding van Isabella Scheiber, Maarten Loonen en Jan Komdeur van de Rijksuniversiteit Groningen, met collega's van de...

  • 30 november 2018

    NTU Singapore and UG sign Double Doctorate agreement

    The highly ranked Nanyang Technological University ( NTU ) in Singapore and the University of Groningen (UG) have signed a Collaborative Degree PhD Programme in Materials and Nanoscience/-engineering . This agreement allows for the co-supervision of...

  • 29 november 2018

    SLF Afstudeerprijs voor student Technische Bedrijfskunde

    Masterstudent Bram Klein Kranenbarg van de Rijksuniversiteit Groningen heeft de SLF Afstudeerprijs 2018 gewonnen. Hij nam het in de finale op tegen Collin Drent van de Technische Universiteit Eindhoven. De jury koos unaniem Bram Klein Kranenbarg als...