Michael John O'Brien
Cognitive Neuroscience · 2013
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 15 citations into it; #7,072 of 10,852 by trust here, #10,534 by citations
- Cellular and Molecular Neuroscience — 11 citations into it
- Electrical and Electronic Engineering — 10 citations into it; #10,220 of 16,539 by trust here, #16,053 by citations
- Neuroscience — 6 citations into it
- Reinforcement Learning — 5 citations into it
Whom Michael John O'Brien trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wulfram Gerstner
- Wolfram Schultz
- Eugene M. Izhikevich
- Razvan V. Florian
- Richard S. Sutton
- William B. Levy
- Xiaohui S. Xie
- Sen Song
- Andrew Barto
- Misha Tsodyks
Who trusts Michael John O'Brien overall
Papers from Michael John O'Brien's perspective
Ordered by how strongly the researchers Michael John O'Brien trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus.
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
- Hebbian learning and spiking neurons
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Learning in neural networks by reinforcement of irregular spiking.
- Solving the distal reward problem through linkage of STDP and dopamine signaling
- Gradient-based learning applied to document recognition