Publications related to Spike-timing-dependent plasticity

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity

Michele Giugliano, Eleni Vasilaki

The anatomical connectivity among neurons has been experimentally found to be largely non-random across brain areas. This means that certain connectivity motifs occur at a higher frequency than would be expected by chance. Of particular interest, short-ter ...

Frontiers Research Foundation2015

Diverse 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 Group2015

Structural to functional synaptic conversion

Henry Markram, Felix Schürmann, Sean Lewis Hill, Eilif Benjamin Muller, Michael Reimann, James Gonzalo King

Computer-implemented methods, software, and systems for determining functional synapses from given structural touches between cells in a neuronal circuit are described. One computer-implemented method for determining functional synapses from predetermined ...

Technology Transfer Office EPFL2015

On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons In Vitro

Michele Giugliano

Synchronous spiking during cerebellar tasks has been observed across Purkinje cells: however, little is known about the intrinsic cellular mechanisms responsible for its initiation, cessation and stability. The Phase Response Curve (PRC), a simple input-ou ...

Public Library Science2015

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

Wulfram Gerstner, Richard Naud, Skander Mensi, Christian Antonio Pozzorini, Olivier Richard Hagens

Single-neuron models are useful not only for studying the emergent properties of neural circuits in large-scale simulations, but also for extracting and summarizing in a principled way the information contained in electrophysiological recordings. Here we d ...

Public Library of Science2015

Synaptic 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 Neuroscience2015

An algorithm to predict the connectome of neural microcircuits

Henry Markram, Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, James Gonzalo King

Experimentally mapping synaptic connections, in terms of the numbers and locations of their synapses and estimating connection probabilities, is still not a tractable task, even for small volumes of tissue. In fact, the six layers of the neocortex contain ...

Frontiers Research Foundation2015

Perineuronal net digestion with chondroitinase restores memory in mice with tau pathology

Patrick Aebischer, Bernard Schneider

Alzheimer's disease is the most prevalent tauopathy and cause of dementia. We investigate the hypothesis that reactivation of plasticity can restore function in the presence of neuronal damage resulting from tauopathy. We investigated two models with tau h ...

2015

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Spike-timing-dependent plasticity

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity

Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks

Statistical structure of neural spiking under non-Poissonian or other non-white stimulation

Structural to functional synaptic conversion

On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons In Vitro

Mixed strain-displacement finite elements for landslide and avalanche release prediction

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

Synaptic consolidation: from synapses to behavioral modeling

An algorithm to predict the connectome of neural microcircuits

Perineuronal net digestion with chondroitinase restores memory in mice with tau pathology

Graph Chatbot

Chat with Graph Search

An algorithm to predict the connectome of neural microcircuits

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity

Perineuronal net digestion with chondroitinase restores memory in mice with tau pathology

Mixed strain-displacement finite elements for landslide and avalanche release prediction

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

Synaptic consolidation: from synapses to behavioral modeling

Statistical structure of neural spiking under non-Poissonian or other non-white stimulation

On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons In Vitro