Robert Urbanczik

Cognitive Neuroscience · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 26 citations into it; #2,278 of 10,852 by trust here, #4,925 by citations
• Cellular and Molecular Neuroscience — 24 citations into it; #1,444 of 2,998 by trust here, #2,325 by citations
• Electrical and Electronic Engineering — 15 citations into it; #2,502 of 16,539 by trust here, #9,210 by citations
• Reinforcement Learning — 12 citations into it
• Neuroscience — 8 citations into it

Whom Robert Urbanczik trusts overall

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

1. Ronald J. Williams
2. H. Sebastian Seung
3. Razvan V. Florian
4. Ila Rani Fiete
5. Eugene M. Izhikevich
6. Richard S. Sutton
7. Sen Song
8. David E. Rumelhart
9. Stefano Fusi
10. Claudia Clopath

Who trusts Robert Urbanczik overall

1. Andrea Soltoggio
2. Nicolas Frémaux
3. Timothy P. Lillicrap
4. Wulfram Gerstner
5. Michael John O'Brien
6. Daniel Cownden
7. Johannes Friedrich
8. Narayan Srinivasa
9. Robert A. Legenstein
10. Douglas B. Tweed

Papers from Robert Urbanczik's perspective

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

1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
2. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
3. Simple statistical gradient-following algorithms for connectionist reinforcement learning
4. Gradient learning in spiking neural networks by dynamic perturbation of conductances.
5. Reinforcement Learning: An Introduction
6. Genetic dissection of consolidated memory in Drosophila.
7. Reward learning in normal and mutant Drosophila.
8. A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales.
9. Connectivity reflects coding: a model of voltage-based STDP with homeostasis
10. The psychology and neuroscience of forgetting.

Their papers

• Reinforcement learning in populations of spiking neurons (2008) — 110 citations
• Spatio-Temporal Credit Assignment in Neuronal Population Learning (2011) — 66 citations
• A Normative Theory of Forgetting: Lessons from the Fruit Fly (2014) — 32 citations
• Learning Spike-Based Population Codes by Reward and Population Feedback (2010) — 16 citations