Personne
Friedemann Zenke
Cette personne n’est plus à l’EPFL
Publications associées (12)
Specific synaptic input strengths determine the computational properties of excitation-inhibition integration in a sound localization circuit
Ralf Schneggenburger, Friedemann Zenke, Enida Gjoni, Brice Antoine Alexandre Bouhours
The lateral superior olive (LSO) is a binaural nucleus in the auditory brainstem in which excitation from the ipsilateral ear is integrated with inhibition from the contralateral ear. It is unknown whether the strength of the unitary inhibitory and excitat ...
WILEY2018Hebbian plasticity requires compensatory processes on multiple timescales
Wulfram Gerstner, Friedemann Zenke
We review a body of theoretical and experimental research on Hebbian and homeostatic plasticity, starting from a puzzling observation: while homeostasis of synapses found in experiments is a slow compensatory process, most mathematical models of synaptic p ...
Royal Soc2017The temporal paradox of Hebbian learning and homeostatic plasticity
Wulfram Gerstner, Friedemann Zenke
Hebbian plasticity, a synaptic mechanism which detects and amplifies co-activity between neurons, is considered a key ingredient underlying learning and memory in the brain. However, Hebbian plasticity alone is unstable, leading to runaway neuronal activit ...
Elsevier2017Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks
Wulfram Gerstner, Friedemann Zenke
Synaptic plasticity, the putative basis of learning and memory formation, manifests in various forms and across different timescales. Here we show that the interaction of Hebbian homosynaptic plasticity with rapid non-Hebbian heterosynaptic plasticity is, ...
Nature Publishing Group2015Synaptic consolidation: from synapses to behavioral modeling
Wulfram Gerstner, Friedemann Zenke, Lorric Ziegler, David Barak Kastner
Synaptic plasticity, a key process for memory formation, manifests itself across different time scales ranging from a few seconds for plasticity induction up to hours or even years for consolidation and memory retention. We developed a three-layered model ...
Society for Neuroscience2015Memory formation and recall in recurrent spiking neural networks
Our brain has the capacity to analyze a visual scene in a split second, to learn how to play an instrument, and to remember events, faces and concepts. Neurons underlie all of these diverse functions. Neurons, cells within the brain that generate and trans ...
EPFL2014Limits to high-speed simulations of spiking neural networks using general-purpose computers
Wulfram Gerstner, Friedemann Zenke
To understand how the central nervous system performs computations using recurrent neuronal circuitry, simulations have become an indispensable tool for theoretical neuroscience. To study neuronal circuits and their ability to self-organize, increasing att ...
Frontiers Research Foundation2014Learning Multi-Stability in Plastic Neural Networks
How is the connectivity learned? ...
2014Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector
Wulfram Gerstner, Friedemann Zenke, Guillaume Hennequin
Hebbian changes of excitatory synapses are driven by and further enhance correlations between pre- and postsynaptic activities. Hence, Hebbian plasticity forms a positive feedback loop that can lead to instability in simulated neural networks. To keep acti ...
Public Library of Science2013Inference of neuronal network spike dynamics and topology from calcium imaging data
Wulfram Gerstner, Joao Emanuel Felipe Gerhard, Friedemann Zenke
Two-photon calcium imaging enables functional analysis of neuronal circuits by inferring action potential (AP) occurrence ("spike trains") from cellular fluorescence signals. It remains unclear how experimental parameters such as signal-to-noise ratio (SNR ...
Frontiers Research Foundation2013