Hopfield Networks as Models of Emergent Function in Biology | Paper Citation Record

Observation 46554b2c-f5cf-48ae-83c2-3249682e9f5b · outbound

This paper cites Williams.

Hopfield Networks as Models of Emergent Function in Biology Williams

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.230996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b80f827f-8852-4551-a58d-55437ee9a25b · outbound

This paper cites Tolerance versus synaptic noise in dense associative memories.

Hopfield Networks as Models of Emergent Function in Biology Tolerance versus synaptic noise in dense associative memories

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:41:44.852791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0145b89c-9b8a-4cf7-b912-4a0452fe3acf · outbound

This paper cites Dense hebbian neural networks: A replica symmetric picture of supervised learning.Physica A: Statistical Mechanics and its Applications, 626:129076, September 2023.

Hopfield Networks as Models of Emergent Function in Biology Dense hebbian neural networks: A replica symmetric picture of supervised learning.Physica A: Statistical Mechanics and its Applications, 626:129076, September 2023

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-07T00:41:44.315529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f19ae4a-8f0b-41f2-af37-5d23a78a3936 · outbound

This paper cites The cell as a collection of protein machines: preparing the next generation of molecular biologists.cell, 92(3):291–294, 1998.

Hopfield Networks as Models of Emergent Function in Biology The cell as a collection of protein machines: preparing the next generation of molecular biologists.cell, 92(3):291–294, 1998

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.222684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9bd05d4c-2f36-4877-ba83-720594e684d6 · outbound

This paper cites Cambridge university press, 1989.

Hopfield Networks as Models of Emergent Function in Biology Cambridge university press, 1989

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.215211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e75a2ac-0700-4c3f-9188-4ca120d7ace8 · outbound

This paper cites Storing infinite numbers of patterns in a spin-glass model of neural networks.Physical Review Letters, 55(14):1530, 1985.

Hopfield Networks as Models of Emergent Function in Biology Storing infinite numbers of patterns in a spin-glass model of neural networks.Physical Review Letters, 55(14):1530, 1985

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.205871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f974db1-1a9e-4758-aea1-1fd5dca718d3 · outbound

This paper cites A new mechanical approach to handle generalized hopfield neural networks.Neural Networks, 106:205–222, October 2018.

Hopfield Networks as Models of Emergent Function in Biology A new mechanical approach to handle generalized hopfield neural networks.Neural Networks, 106:205–222, October 2018

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T00:41:44.572885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ea01d55-9cdb-4949-b72b-0294f3832a1e · outbound

This paper cites Princeton University Press, 2012.

Hopfield Networks as Models of Emergent Function in Biology Princeton University Press, 2012

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.333814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba5acc6-bab5-4dbb-bbd0-559228c90ecd · outbound

This paper cites Waddington landscape for prototype learning in generalized hopfield networks.

Hopfield Networks as Models of Emergent Function in Biology Waddington landscape for prototype learning in generalized hopfield networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.193723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b14d5854-7778-40ee-9bb8-8424f322d6ff · outbound

This paper cites Liquid hopfield model: Retrieval and localization in multicomponent liquid mixtures.Proceedings of the National Academy of Sciences, 121(48):e2320504121, 2024.

Hopfield Networks as Models of Emergent Function in Biology Liquid hopfield model: Retrieval and localization in multicomponent liquid mixtures.Proceedings of the National Academy of Sciences, 121(48):e2320504121, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.185506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4380c441-fdc9-4822-91ed-ff5b8d3a36d9 · outbound

This paper cites Learn- ing and inference in a lattice model of multicomponent condensates.

Hopfield Networks as Models of Emergent Function in Biology Learn- ing and inference in a lattice model of multicomponent condensates

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.176077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5dc463e9-391a-4d0f-be27-c0a001020917 · outbound

This paper cites The specious art of single-cell genomics.PLOS Computational Biology, 19(8):e1011288, 2023.

Hopfield Networks as Models of Emergent Function in Biology The specious art of single-cell genomics.PLOS Computational Biology, 19(8):e1011288, 2023

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.345364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ee00cb9-7350-4d16-8d8f-7a970bd73595 · outbound

This paper cites On a model of associative memory with huge storage capacity.Journal of Statistical Physics, 168:288–299, 2017.

Hopfield Networks as Models of Emergent Function in Biology On a model of associative memory with huge storage capacity.Journal of Statistical Physics, 168:288–299, 2017

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.165647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 670b1989-8106-444d-8e9e-253ed64a11e8 · outbound

This paper cites Pattern recog- nition in the nucleation kinetics of non-equilibrium self-assembly.Nature, 625(7995):500–507, 2024.

Hopfield Networks as Models of Emergent Function in Biology Pattern recog- nition in the nucleation kinetics of non-equilibrium self-assembly.Nature, 625(7995):500–507, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.157758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 554f25ca-082d-4dbd-8fc3-16239dc51577 · outbound

This paper cites Not just a colourful metaphor: modelling the landscape of cellular development using hopfield networks.

Hopfield Networks as Models of Emergent Function in Biology Not just a colourful metaphor: modelling the landscape of cellular development using hopfield networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.150669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3b15ffa-acc2-4c97-9828-bb2b6094d016 · outbound

This paper cites Bistability, bifurcations, and waddington’s epigenetic landscape.Current biology, 22(11):R458–R466, 2012.

Hopfield Networks as Models of Emergent Function in Biology Bistability, bifurcations, and waddington’s epigenetic landscape.Current biology, 22(11):R458–R466, 2012

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.143236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dd8ed2f-7d6c-4b42-99b1-c215ce886f76 · outbound

This paper cites Multiconnected neural network models.Journal of Physics A: Mathematical and General, 20(11):3453–3464, August 1987.

Hopfield Networks as Models of Emergent Function in Biology Multiconnected neural network models.Journal of Physics A: Mathematical and General, 20(11):3453–3464, August 1987

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.135733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9b19fda-5cd8-4e23-ae77-4c0a166bc398 · outbound

This paper cites an unresolved cited work.

Hopfield Networks as Models of Emergent Function in Biology Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:41:45.127478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a917e4a2-9bbf-4291-bb1a-91faba8ffaca · outbound

This paper cites What is life? the physical aspect of the living cell: By erwin schr¨ odinger.

Hopfield Networks as Models of Emergent Function in Biology What is life? the physical aspect of the living cell: By erwin schr¨ odinger

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.119339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 74526211-4c97-4c42-9c4e-a9127674848a · outbound

This paper cites Durable alveolar engraftment of psc-derived lung epithelial cells into immunocompetent mice.Cell Stem Cell, 30(9):1217–1234, 2023.

Hopfield Networks as Models of Emergent Function in Biology Durable alveolar engraftment of psc-derived lung epithelial cells into immunocompetent mice.Cell Stem Cell, 30(9):1217–1234, 2023

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.111010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e37d528-e7ce-42ce-8e77-e924e7c7296d · outbound

This paper cites Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 81(10):3088–3092, 1984.

Hopfield Networks as Models of Emergent Function in Biology Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 81(10):3088–3092, 1984

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.369096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0455b60-6c71-4547-ae89-faef6270aa4f · outbound

This paper cites an unresolved cited work.

Hopfield Networks as Models of Emergent Function in Biology Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-08-07T00:41:44.560758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 65d46dd4-1fd4-4857-8b6b-7d0fd1adb5a4 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558, 1982.

Hopfield Networks as Models of Emergent Function in Biology Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558, 1982

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.374635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e3f5036-9e85-4111-9b31-91ea54967d0d · outbound

This paper cites Neurodynamics of mental exploration.Proceedings of the National Academy of Sciences, 107(4):1648–1653, 2010.

Hopfield Networks as Models of Emergent Function in Biology Neurodynamics of mental exploration.Proceedings of the National Academy of Sciences, 107(4):1648–1653, 2010

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.098777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76a4097a-4acb-4b33-8266-82a834c29a26 · outbound

This paper cites Whatever happened to solid state physics?Annu.

Hopfield Networks as Models of Emergent Function in Biology Whatever happened to solid state physics?Annu

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.090931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 503f55bd-8d2a-4d44-af08-afd16b06f875 · outbound

This paper cites Hotelling.

Hopfield Networks as Models of Emergent Function in Biology Hotelling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.383382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b5b84f6-fdaa-44e2-8339-8275003fde8c · outbound

This paper cites The molecular and mathematical basis of waddington’s epigenetic landscape: A framework for post-darwinian biology?Bioessays, 34(2):149–157, 2012.

Hopfield Networks as Models of Emergent Function in Biology The molecular and mathematical basis of waddington’s epigenetic landscape: A framework for post-darwinian biology?Bioessays, 34(2):149–157, 2012

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.082918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d153055f-1d08-4475-b7d7-5f183026aa48 · outbound

This paper cites The in vivo genetic program of murine primordial lung epithelial progenitors.Nature communications, 11(1):635, 2020.

Hopfield Networks as Models of Emergent Function in Biology The in vivo genetic program of murine primordial lung epithelial progenitors.Nature communications, 11(1):635, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.076491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75a98f0c-c3f9-4295-8e14-60dffda83bbf · outbound

This paper cites Random Features Hopfield Networks generalize retrieval to previously unseen examples.

Hopfield Networks as Models of Emergent Function in Biology Random Features Hopfield Networks generalize retrieval to previously unseen examples

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:41:44.786583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5fa21c10-3e98-4b4b-a48e-065f1f896aba · outbound

This paper cites Kanter and H.

Hopfield Networks as Models of Emergent Function in Biology Kanter and H

Reference 31

Resolution: malformed identifier; no resolver link, observed 2026-08-07T00:41:44.395936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44f8bc0-dd25-4f83-b1c5-cca6c422f097 · outbound

This paper cites Enhancernet: a predictive model of cell identity dynamics through enhancer selection.Development, 151(19):dev202997, 2024.

Hopfield Networks as Models of Emergent Function in Biology Enhancernet: a predictive model of cell identity dynamics through enhancer selection.Development, 151(19):dev202997, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.069010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b61a76af-6ec8-4185-bc70-ad902fc8548c · outbound

This paper cites A new frontier for hopfield networks.Nature Reviews Physics, 5(7):366–367, 2023.

Hopfield Networks as Models of Emergent Function in Biology A new frontier for hopfield networks.Nature Reviews Physics, 5(7):366–367, 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.059345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 92c03431-3328-4daa-bee9-49592d0d5bbf · outbound

This paper cites Large Associative Memory Problem in Neurobiology and Machine Learning.

Hopfield Networks as Models of Emergent Function in Biology Large Associative Memory Problem in Neurobiology and Machine Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.406946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 638908d1-45cb-4359-9a75-9f0ea4d57a14 · outbound

This paper cites Dense associative memory for pattern recognition.Ad- vances in neural information processing systems, 29, 2016.

Hopfield Networks as Models of Emergent Function in Biology Dense associative memory for pattern recognition.Ad- vances in neural information processing systems, 29, 2016

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.053102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64a0c116-6b7c-4c24-b537-245ebe677353 · outbound

This paper cites Epigenetic landscapes explain partially reprogrammed cells and identify key reprogramming genes.PLoS computational biology, 10(8): e1003734, 2014.

Hopfield Networks as Models of Emergent Function in Biology Epigenetic landscapes explain partially reprogrammed cells and identify key reprogramming genes.PLoS computational biology, 10(8): e1003734, 2014

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.045758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7801618f-e52c-404d-9c8b-bfc77f07bdd6 · outbound

This paper cites The exponential capacity of dense associative memories.

Hopfield Networks as Models of Emergent Function in Biology The exponential capacity of dense associative memories

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.038888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41b27ca7-5f76-4a6c-a631-33303bd475ee · outbound

This paper cites Characterizing cancer subtypes as attractors of hopfield networks.Bioinformatics, 30(9):1273–1279, 2014.

Hopfield Networks as Models of Emergent Function in Biology Characterizing cancer subtypes as attractors of hopfield networks.Bioinformatics, 30(9):1273–1279, 2014

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.030199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43ccd945-1dac-43ad-976e-92d7b0378f3a · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Hopfield Networks as Models of Emergent Function in Biology UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.424627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b75bc55-fb89-4bbe-8cd5-c732c869b6c7 · outbound

This paper cites Day, Clint Richardson, Charles K.

Hopfield Networks as Models of Emergent Function in Biology Day, Clint Richardson, Charles K

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.427765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e4ff59d-1d59-4972-ae79-43092337c27e · outbound

This paper cites Mean-field message-passing equations in the hopfield model and its generaliza- tions.Physical Review E, 95(2):022117, 2017.

Hopfield Networks as Models of Emergent Function in Biology Mean-field message-passing equations in the hopfield model and its generaliza- tions.Physical Review E, 95(2):022117, 2017

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.021850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation deefa4d9-0160-4102-9247-2f551c49880a · outbound

This paper cites Transition states and cell fate deci- sions in epigenetic landscapes.Nature Reviews Genetics, 17(11):693–703, 2016.

Hopfield Networks as Models of Emergent Function in Biology Transition states and cell fate deci- sions in epigenetic landscapes.Nature Reviews Genetics, 17(11):693–703, 2016

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.014244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea24dd09-28f2-4aed-af35-55520af3ede5 · outbound

This paper cites Multifarious assembly mixtures: Systems allowing retrieval of diverse stored structures.Proceedings of the National Academy of Sciences, 112(1):54–59, 2015.

Hopfield Networks as Models of Emergent Function in Biology Multifarious assembly mixtures: Systems allowing retrieval of diverse stored structures.Proceedings of the National Academy of Sciences, 112(1):54–59, 2015

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:45.006174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bba5b59e-6116-4f4d-9987-c3cc6e3843af · outbound

This paper cites Stor- age and learning phase transitions in the random-features hopfield model.Physical Review Letters, 131(25):257301, 2023.

Hopfield Networks as Models of Emergent Function in Biology Stor- age and learning phase transitions in the random-features hopfield model.Physical Review Letters, 131(25):257301, 2023

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.997763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0cb33822-c762-4876-ac38-3d803f45a739 · outbound

This paper cites WH Freeman New York, 2004.

Hopfield Networks as Models of Emergent Function in Biology WH Freeman New York, 2004

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.990555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61396e01-3125-48ad-bc23-874d3d80eabe · outbound

This paper cites Design principles of 3d epigenetic memory systems.Science, 382(6672):eadg3053, 2023.

Hopfield Networks as Models of Emergent Function in Biology Design principles of 3d epigenetic memory systems.Science, 382(6672):eadg3053, 2023

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.982948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4343c5ab-069f-4f3d-831f-4e38afbee8ca · outbound

This paper cites Personnaz, I.

Hopfield Networks as Models of Emergent Function in Biology Personnaz, I

Reference 47

Resolution: verified exact; doi, observed 2026-08-07T00:41:44.547006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d8028505-1f6e-4021-9252-a451fb3133db · outbound

This paper cites The biological frontier of physics.Physics Today, 59(5): 38–43, 2006.

Hopfield Networks as Models of Emergent Function in Biology The biological frontier of physics.Physics Today, 59(5): 38–43, 2006

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.975409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6efe1bc-744f-4d9f-b4be-3cbbae95deef · outbound

This paper cites Garland Science, 2012.

Hopfield Networks as Models of Emergent Function in Biology Garland Science, 2012

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.967429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1839348-d3ef-4579-9643-1a2b710a7bdc · outbound

This paper cites Cellular reprogramming dynamics follow a simple 1d reaction coordinate.Physical Biology, 15(1):016001, 2017.

Hopfield Networks as Models of Emergent Function in Biology Cellular reprogramming dynamics follow a simple 1d reaction coordinate.Physical Biology, 15(1):016001, 2017

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.960206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bde2c207-ea0f-4c7d-a96d-1f637a07c18e · outbound

This paper cites an unresolved cited work.

Hopfield Networks as Models of Emergent Function in Biology Unresolved cited work

Reference 51

Resolution: verified exact; doi, observed 2026-08-07T00:41:44.539312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68adc5cd-e711-4a41-9113-9a684d37785b · outbound

This paper cites Hopfield Networks is All You Need.

Hopfield Networks as Models of Emergent Function in Biology Hopfield Networks is All You Need

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.460660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe532a8f-1b47-4add-8b8a-abbd6d808955 · outbound

This paper cites Geom- etry of gene regulatory dynamics.Proceedings of the National Academy of Sciences, 118(38): e2109729118, 2021.

Hopfield Networks as Models of Emergent Function in Biology Geom- etry of gene regulatory dynamics.Proceedings of the National Academy of Sciences, 118(38): e2109729118, 2021

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.953522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0d45ece-0494-45a9-91a2-280cf199e36c · outbound

This paper cites Daydreaming hopfield networks and their surprising effectiveness on correlated data.Neural Networks, 186:107216, June 2025.

Hopfield Networks as Models of Emergent Function in Biology Daydreaming hopfield networks and their surprising effectiveness on correlated data.Neural Networks, 186:107216, June 2025

Reference 54

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T00:41:44.753493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bce60a37-b38d-4f3c-bd1c-6bcff807f08b · outbound

This paper cites Emergent properties of collective gene-expression patterns in multicellular systems.Cell Reports Physical Science, 4(2), 2023.

Hopfield Networks as Models of Emergent Function in Biology Emergent properties of collective gene-expression patterns in multicellular systems.Cell Reports Physical Science, 4(2), 2023

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.946480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d8853c6e-77f3-433f-bff9-153a70693520 · outbound

This paper cites Information processing in dynamical systems: Foundations of harmony theory.

Hopfield Networks as Models of Emergent Function in Biology Information processing in dynamical systems: Foundations of harmony theory

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.939213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e670a3d4-5594-4e23-b1a9-35f609fab308 · outbound

This paper cites Cell cycle time series gene expression data encoded as cyclic attractors in hopfield systems.

Hopfield Networks as Models of Emergent Function in Biology Cell cycle time series gene expression data encoded as cyclic attractors in hopfield systems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.931592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b54072a5-6033-44bf-b450-e621621e7906 · outbound

This paper cites Modeling the attractor landscape of disease progres- sion: a network-based approach.Frontiers in genetics, 8:48, 2017.

Hopfield Networks as Models of Emergent Function in Biology Modeling the attractor landscape of disease progres- sion: a network-based approach.Frontiers in genetics, 8:48, 2017

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.924600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a2d392a-8ecf-4f2d-83b2-be1e4e0abb34 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008.

Hopfield Networks as Models of Emergent Function in Biology Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.916949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b8c9436-e80f-416c-9960-1daed8357248 · outbound

This paper cites Van Hemmen, L.B.

Hopfield Networks as Models of Emergent Function in Biology Van Hemmen, L.B

Reference 60

Resolution: verified exact; doi, observed 2026-08-07T00:41:44.531660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed017a69-2bef-4c23-9c08-2999bdc72c11 · outbound

This paper cites Routledge, 2014.

Hopfield Networks as Models of Emergent Function in Biology Routledge, 2014

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.487377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49a14c1b-b312-4ce1-8099-f19154df4e34 · outbound

This paper cites Riemondy, Michael Douglas, Kendall Foster, Nisha Patel, Norihito Kaku, Alexander Linsalata, Jean Nemzek, Brian M.

Hopfield Networks as Models of Emergent Function in Biology Riemondy, Michael Douglas, Kendall Foster, Nisha Patel, Norihito Kaku, Alexander Linsalata, Jean Nemzek, Brian M

Reference 62

Resolution: verified exact; doi, observed 2026-08-07T00:41:44.905852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec81981f-2f01-483a-8c7e-3ef1ad9023db · outbound

This paper cites Quantifying the waddington landscape and biological paths for development and differentiation.Proceedings of the National Academy of Sciences, 108(20):8257–8262, 2011.

Hopfield Networks as Models of Emergent Function in Biology Quantifying the waddington landscape and biological paths for development and differentiation.Proceedings of the National Academy of Sciences, 108(20):8257–8262, 2011

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.897575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d4623cc-0c77-4f11-b3c1-cdeb16ddab9f · outbound

This paper cites The tolman-eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation.Cell, 183(5):1249– 1263, 2020.

Hopfield Networks as Models of Emergent Function in Biology The tolman-eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation.Cell, 183(5):1249– 1263, 2020

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.890255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44e1aed3-98ff-4776-8aad-55568bca210a · outbound

This paper cites Relating transformers to models and neural representations of the hippocampal formation.

Hopfield Networks as Models of Emergent Function in Biology Relating transformers to models and neural representations of the hippocampal formation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.497730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e79a8601-9d38-4f76-ae24-4a486080c68a · outbound

This paper cites How to build a cognitive map.Nature neuroscience, 25(10):1257–1272, 2022.

Hopfield Networks as Models of Emergent Function in Biology How to build a cognitive map.Nature neuroscience, 25(10):1257–1272, 2022

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.882874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2aa66b78-78de-4053-ad15-fc241f306d68 · outbound

This paper cites sctop: physics-inspired order parameters for cellular identification and visualization.

Hopfield Networks as Models of Emergent Function in Biology sctop: physics-inspired order parameters for cellular identification and visualization

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.875521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b790a70-775a-4a37-b704-f2e34ae6505a · outbound

This paper cites Finding signatures of low- dimensional geometric landscapes in high-dimensional cell fate transitions.bioRxiv, 2025.

Hopfield Networks as Models of Emergent Function in Biology Finding signatures of low- dimensional geometric landscapes in high-dimensional cell fate transitions.bioRxiv, 2025

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.867787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eef99917-7983-4f4c-b50e-78ac0f49561a · outbound

This paper cites Associative pattern recognition through macro-molecular self-assembly.Journal of Statistical Physics, 167:806–826, 2017.

Hopfield Networks as Models of Emergent Function in Biology Associative pattern recognition through macro-molecular self-assembly.Journal of Statistical Physics, 167:806–826, 2017

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:44.860269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c58c53ec-2892-44c0-83ad-91cbfaaa2af7 · outbound

This paper cites The Exponential Capacity of Dense Associative Memories.

Hopfield Networks as Models of Emergent Function in Biology The Exponential Capacity of Dense Associative Memories

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:44.419084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers