Burkitt

Cognitive Neuroscience · 2009

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 9 citations into it
• Cellular and Molecular Neuroscience — 8 citations into it

Whom Burkitt trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Guoqiang Bi (in Cognitive Neuroscience)

Papers from Burkitt's perspective

Ordered by how strongly the researchers Burkitt trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hebbian learning and spiking neurons
2. A neuronal learning rule for sub-millisecond temporal coding
3. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
4. Stable Hebbian Learning from Spike Timing-Dependent Plasticity
5. Spike-Timing-Dependent Plasticity in Balanced Random Networks
6. Synaptic modification by correlated activity: Hebb's postulate revisited.
7. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex.
8. The Organization of Behavior: A Neuropsychological Theory
9. Rate, timing, and cooperativity jointly determine cortical synaptic plasticity. (Neuron)
10. Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity

Their papers

• Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways (2009) — 83 citations