Computational neuroscientist at the FMI in Basel (zenkelab.org). Main interests: Learning, memory, and information processing in biologically inspired (spiking) neural networks.
- Nonlinear transient amplification in recurrent neural networks with short-term plasticityI am pleased to share our new preprint: “Nonlinear transient amplification in recurrent neural networks with short-term plasticity” led by Yue Kris Wu in which we study possible mechanisms for transient Hebbian amplification.https://biorxiv.org/cgi/content/short/2021.06.09.447718v1 Hebbian assembliesContinue reading Read more »
- Paper: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuitsWe’re excited to see this published. A new take on spatial credit assignment in cortical circuits based on Richard Naud’s idea on burst multiplexing. A truly collaborative effort lead by Alexandre Payeur and Jordan GuerguievContinue reading Read more »
- Hiring: Context-dependent information processing in biological neural networksWe are looking for a Ph.D. student to work on context-dependent information processing in biologically inspired neural networks. We will investigate the effect of stereotypical circuit motifs and neuromodulation on neural information processing and learningContinue reading Read more »
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