Michael L. Hines
Cognitive Neuroscience · 2001–2015
A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 20 citations into it; #2,443 of 10,852 by trust here, #2,998 by citations
- Artificial Intelligence — 7 citations into it; #27,922 of 35,345 by trust here, #22,463 by citations
- Molecular Biology — 7 citations into it; #12,056 of 17,773 by trust here, #12,227 by citations
- Hardware and Architecture — 5 citations into it; #1,089 of 1,551 by trust here, #1,291 by citations
Whom Michael L. Hines trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicholas T. Carnevale
- Joseph Kiesecker
- Fernando Pérez
- Dean V. Buonomano
- A. Blaustein
- Brian E. Granger
- L. Belden
Who trusts Michael L. Hines overall
- Thomas A. Cleland
- Padraig Gleeson
- Eleftheria Kyriaki Pissadaki
- Carl Gold
- Segundo Jose Guzman
- Filip Ponulak
- Eilif B. Muller
- Praveen Sethupathy
- Trevor Bekolay
- Etay Hay
Papers from Michael L. Hines's perspective
Ordered by how strongly the researchers Michael L. Hines trusts endorse each paper. Same corpus, a different order for every researcher.
- The tempotron: a neuron that learns spike timing–based decisions (Nature Neuroscience)
- Decoding Temporal Information: A Model Based on Short-Term Synaptic Plasticity (Journal of Neuroscience)
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
- A quantitative description of membrane current and its application to conduction and excitation in nerve
- SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers
- Spike-Timing-Dependent Plasticity in Balanced Random Networks
- Complex causes of amphibian population declines (Nature)
- Brian simulator (Scholarpedia)
- NEURON and Python (Front. Neuroinform.)
- Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components
Their papers
- Simulation of networks of spiking neurons: A review of tools and strategies (2006) — 884 citations
- NEURON and Python (2008) — 388 citations
- NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail (2010) — 334 citations
- The NEURON Book: Index (2006) — 919 citations
- Python in neuroscience (2015) — 74 citations
- ModelDB: A Database to Support Computational Neuroscience (2004) — 384 citations
- Neuron: A Tool for Neuroscientists (2001) — 678 citations