Panayiota Poirazi

Cognitive Neuroscience · 2001–2020

A researcher in the Science corpus: 7 papers; trusts 41 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 134 citations into it; #1,113 of 10,852 by trust here, #2,039 by citations
• Cellular and Molecular Neuroscience — 102 citations into it; #248 of 2,998 by trust here, #767 by citations
• Developmental Neuroscience — 43 citations into it
• Neuroscience — 27 citations into it
• Electrical and Electronic Engineering — 21 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Panayiota Poirazi trusts overall

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

1. D. Marr
2. Catherine E. Myers
3. Adam Santoro
4. H. Scharfman
5. Eugene M. Izhikevich
6. E. T. Rolls
7. Alessandro Treves
8. J. Leutgeb
9. James L. McClelland
10. Randall C. O’Reilly

Who trusts Panayiota Poirazi overall

1. Per Jesper Sjöström
2. Andreas Knoblauch
3. Christopher D. Harvey
4. Charles R. Gerfen
5. Markus Butz
6. A. Polsky
7. G. Major
8. Robert A. Legenstein
9. E. Rancz
10. Stuart R. Hameroff

Papers from Panayiota Poirazi's perspective

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

1. Pattern Separation in the Dentate Gyrus and CA3 of the Hippocampus
2. Simple memory: a theory for archicortex.
3. A Functional Role for Adult Hippocampal Neurogenesis in Spatial Pattern Separation
4. Dentate Gyrus NMDA Receptors Mediate Rapid Pattern Separation in the Hippocampal Network
5. Spatial selectivity of unit activity in the hippocampal granular layer
6. Computational constraints suggest the need for two distinct input systems to the hippocampal CA3 network
7. Neurons, numbers and the hippocampal network.
8. A theory of cerebellar cortex
9. A computational principle for hippocampal learning and neurogenesis
10. Computational analysis of the role of the hippocampus in memory

Their papers

• A deep learning framework for neuroscience (2019) — 1,016 citations
• Dendritic action potentials and computation in human layer 2/3 cortical neurons (2020) — 508 citations
• In vivo imaging of dentate gyrus mossy cells in behaving mice (2017) — 169 citations
• Pattern separation in the hippocampus through the eyes of computational modeling (2017) — 24 citations
• Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity (2016) — 71 citations
• Pyramidal neuron as two-layer neural network. (2003) — 759 citations
• Impact of active dendrites and structural plasticity on the memory capacity of neural tissue. (2001) — 634 citations