Jan Benda
Neural Computation · 2003
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.
Whom Jan Benda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jan Benda overall
- Zachary P. Kilpatrick
- Paul C. Bressloff
- Richard Naud
- Nicolas Marcille
- Wulfram Gerstner
- H. Francis Song
- Renaud B. Jolivet
- Claudia Clopath
Papers from Jan Benda's perspective
Ordered by how strongly the researchers Jan Benda trusts endorse each paper. Same corpus, a different order for every researcher.
- A quantitative description of membrane current and its application to conduction and excitation in nerve
- Neural excitability, Spiking and bursting (International Journal of Bifurcation and Chaos in Applied Sciences and Engineering)
- Adaptive rescaling maximizes information transmission. (Neuron)
- Gain modulation from background synaptic input.
- Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. (Neuroscience)
- Neural networks and physical systems with emergent collective computational abilities.
- A Neural Substrate of Prediction and Reward
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
- Stable Hebbian Learning from Spike Timing-Dependent Plasticity
- Spiking Neuron Models
Their papers
- A Universal Model for Spike-Frequency Adaptation (2003) — 508 citations