David W. Tank
Cognitive Neuroscience · 1985–2019
A researcher in the Science corpus: 14 papers; trusts 39 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 139 citations into it; #1,121 of 10,852 by trust here, #887 by citations
- Cellular and Molecular Neuroscience — 99 citations into it; #273 of 2,998 by trust here, #250 by citations
- Biophysics — 30 citations into it; #671 of 1,196 by trust here, #574 by citations
- Molecular Biology — 25 citations into it; #10,059 of 17,773 by trust here, #10,695 by citations
- Electrical and Electronic Engineering — 24 citations into it
- Artificial Intelligence — 22 citations into it; #25,578 of 35,345 by trust here, #21,316 by citations
- Neuroscience — 16 citations into it
- Neurology — 15 citations into it; #1,344 of 1,455 by trust here, #543 by citations
Whom David W. Tank trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John J. Hopfield
- D. Dombeck
- Christopher D. Harvey
- Herbert Jaeger
- Eran A. Mukamel
- Barak A. Pearlmutter
- György Buzsáki
- Lin Tian
- David Dupret
- A. Nimmerjahn
Who trusts David W. Tank overall
- Rafael Yuste
- B. F. J. La Maire
- Patrick R. McMullen
- Gary S. May
- Chaitanya K. Joshi
- Xun Xu
- Christopher D. Harvey
- Katherine W. Rogers
- J. Gauthier
- Ida Momennejad
Papers from David W. Tank's perspective
Ordered by how strongly the researchers David W. Tank trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural networks and physical systems with emergent collective computational abilities.
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
- A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
- Millisecond-timescale, genetically targeted optical control of neural activity (Nature Neuroscience)
- Place cells, grid cells, and the brain's spatial representation system.
- Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo (Nature)
- The neural basis of temporal processing. (Annual Review of Neuroscience)
- A theory of cerebellar cortex
- Automated analysis of cellular signals from large-scale calcium imaging data. (Neuron)
- A Theory of Cerebellar Function
Their papers
- Probing the limits to positional information. (2007) — 704 citations
- A miniature head-mounted two-photon microscope. high-resolution brain imaging in freely moving animals. (2001) — 617 citations
- Sequential and efficient neural-population coding of complex task information (2019) — 77 citations
- CaImAn an open source tool for scalable calcium imaging data analysis (2019) — 780 citations
- A dedicated population for reward coding in the hippocampus (2018) — 373 citations
- Mapping of a non-spatial dimension by the hippocampal/entorhinal circuit (2017) — 621 citations
- Recurrent Network Models of Sequence Generation and Memory. (2016) — 377 citations
- Choice-specific sequences in parietal cortex during a virtual-navigation decision task (2012) — 926 citations
- Widespread State-Dependent Shifts in Cerebellar Activity in Locomoting Mice (2012) — 111 citations
- Functional imaging of hippocampal place cells at cellular resolution during virtual navigation (2010) — 810 citations
- Intracellular dynamics of hippocampal place cells during virtual navigation (2009) — 885 citations
- Imaging large-scale neural activity with cellular resolution in awake, mobile mice. (2007) — 1,085 citations
- Ca2+ accumulations in dendrites of neocortical pyramidal neurons: an apical band and evidence for two functional compartments. (1994)
- “Neural” computation of decisions in optimization problems (1985)