Nicholas Fisco
Cognitive Neuroscience · 2011
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 8 citations into it
- Artificial Intelligence — 7 citations into it
- Control and Systems Engineering — 7 citations into it
Whom Nicholas Fisco trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Nicholas Fisco overall
Papers from Nicholas Fisco's perspective
Ordered by how strongly the researchers Nicholas Fisco trusts endorse each paper. Same corpus, a different order for every researcher.
- Recurrent neural networks employing Lyapunov exponents for EEG signals classification (Expert systems with applications)
- Epileptic seizure prediction and control (IEEE Transactions on Biomedical Engineering)
- Competitive Learning: From Interactive Activation to Adaptive Resonance
- A quantitative description of membrane current and its application to conduction and excitation in nerve
- Solving the distal reward problem through linkage of STDP and dopamine signaling
- SPIKING NEURON MODELS Single Neurons , Populations , Plasticity
- Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
- Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking (Neural Computation)
- Dynamics of a recurrent network of spiking neurons before and following learning
- Spiking Neuron Models
Their papers
- Smart structures: Part I—Active and semi-active control (2011) — 278 citations
- Smart structures: Part II — Hybrid control systems and control strategies (2011) — 192 citations