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Paper Citation Record · LEDGER

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms

As of 10 August 2026, this Paper Citation Record lists 100 of 178 outbound references and 1 inbound Pith citation observation for arXiv:2505.16362.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.16362 v1

Coverage vector

measured 100 of 178 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:56.210834Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:29:08.704463Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T18:29:13.947038Z

Reference resolution

100 of 178 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01998a4c-1627-4c20-80d5-3d006a03515d · outbound

This paper cites Davari, R.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Davari, R

Reference 1

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source=pdf_text observed=2026-08-07T15:06:48.820253Z digest=sha256:2b63ee97403750e317b8586424be00e8e0403d97ef1c49b12351edf4b3594046

Observation a8330b36-dbe3-45cb-b585-f94be29fca43 · outbound

This paper cites Leiserson, et al., There is a plenty of room at the top: What will drive computer performance after moore’s law?, Science 368 (6495) (2020).

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Leiserson, et al., There is a plenty of room at the top: What will drive computer performance after moore’s law?, Science 368 (6495) (2020)

Reference 2

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source=pdf_text observed=2026-08-07T15:06:48.921459Z digest=sha256:a2fcdde154e8d86b82367a02435a4f3cc2789eb7087de1490c827e2cfc43e4e5

Observation ccc0c49c-ab37-452d-9e27-c8a8623c666c · outbound

This paper cites Thompson, K.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Thompson, K

Reference 3

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source=pdf_text observed=2026-08-07T15:06:49.046400Z digest=sha256:d57777f733167ee3e1d733e6415f3b6ad0768bb91bb804c25f5312edb28ffb9d

Observation 61e490a0-58e3-4c77-b3ec-dfd41eaafa10 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-07T15:06:49.165734Z digest=sha256:9c6bda596c8b364761e84b34763f1b114744c73f25e4580f98392842f3c2bd9a

Observation 6ac8d22d-138c-4c0c-9781-514fd0711fc9 · outbound

This paper cites de Vries, The growing energy footprint of artificial intelligence, Joule 7 (10) (2023) 2191–2194.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms de Vries, The growing energy footprint of artificial intelligence, Joule 7 (10) (2023) 2191–2194

Reference 5

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source=pdf_text observed=2026-08-07T15:06:49.311319Z digest=sha256:d33e46709ded654fd5ae8c2604f3105b777303c6282e58815f4da4610d4eba94

Observation 1d9429ad-1aff-4675-a4b4-d91b9f0e58b1 · outbound

This paper cites Mehonic, A.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Mehonic, A

Reference 6

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source=pdf_text observed=2026-08-07T15:06:49.402904Z digest=sha256:f4217369dd9cd22501880d0fd3a0a013b027d863b7c7a598b2b3c2e1939f9e84

Observation 897128fe-9fbd-401e-95d8-73fea2a91f8a · outbound

This paper cites Mead, Neuromorphic electronic systems, Proceedings of the IEEE 78 (10) (1990) 1629–1636.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Mead, Neuromorphic electronic systems, Proceedings of the IEEE 78 (10) (1990) 1629–1636

Reference 7

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source=pdf_text observed=2026-08-07T15:06:49.529523Z digest=sha256:8c268d27c3eab22621d32299d6522b74bc23aa2d1150a8b1f2cce43bcb4d098f

Observation 19992be9-0249-4a48-8bb1-244ba9b26a97 · outbound

This paper cites Mead, How we created neuromorphic engineering, Nat Electron 3 (2020) 434–435.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Mead, How we created neuromorphic engineering, Nat Electron 3 (2020) 434–435

Reference 8

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source=pdf_text observed=2026-08-07T15:06:49.696259Z digest=sha256:4596cb0796bc2da42e85f491f92d16aeaa9c0fb032efbaa674390815f527265e

Observation 87e11789-4bcc-41d9-822a-ffd1e4d0bfcf · outbound

This paper cites Neuromorphic Computing is Turing-Complete.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Neuromorphic Computing is Turing-Complete

Reference 9

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local_arxiv, observed 2026-08-07T15:06:56.760625Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:06:49.844662Z digest=sha256:78c9e2b9a1b2a794349cde37be9406e5df09f3e76d290a9d9ce6edc7d5136320

Observation 7789ae16-8ca4-4617-b16b-b126aa8cb202 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-07T15:06:49.967168Z digest=sha256:fd172b470692933f109c81b712ad8c0bbbaa6aa4de6b602c2f5f3008f9ad32a1

Observation cad5a81b-f5c9-4c46-b81f-187fac86551d · outbound

This paper cites Aimone, et al., A review of non-cognitive applications for neuromorphic computing, Neuromorphic Computing and Engineering 2 (3) (2022) 032003.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Aimone, et al., A review of non-cognitive applications for neuromorphic computing, Neuromorphic Computing and Engineering 2 (3) (2022) 032003

Reference 11

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source=pdf_text observed=2026-08-07T15:06:50.116433Z digest=sha256:6820cc963c866d7501607e21903456b3e557007254295dcf1fb733141608bf23

Observation f61dbc40-3b4c-4733-b938-bcf2fdc14f50 · outbound

This paper cites Nilsson, O.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Nilsson, O

Reference 12

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source=pdf_text observed=2026-08-07T15:06:50.285648Z digest=sha256:464e1ab5a981cd106e783e1989a0f7fb12d0b3e0f93327d11743dc2311097cd4

Observation 116f13d7-d634-424d-aa5b-17841bde87cc · outbound

This paper cites Maass, Networks of spiking neurons: the third generation of neural network models, Neural networks 10 (9) (1997) 1659–1671.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Maass, Networks of spiking neurons: the third generation of neural network models, Neural networks 10 (9) (1997) 1659–1671

Reference 13

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source=pdf_text observed=2026-08-07T15:06:50.446928Z digest=sha256:f7e0db447e27451b5bd53f73bea2e5838bfd22324c9777e1e1a041caf8a1dd86

Observation 0f8ff4cf-4acb-472a-92aa-5e92dbc4a3ee · outbound

This paper cites A Survey of Neuromorphic Computing and Neural Networks in Hardware.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms A Survey of Neuromorphic Computing and Neural Networks in Hardware

Reference 14

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source=pdf_text observed=2026-08-07T15:06:50.621318Z digest=sha256:6486dc86aef7678c1b2443f42a2ec7c895e433591ad631cfad631b66df8bb3c7

Observation d8b712d3-c533-4e9e-b231-a17f1ab0e29a · outbound

This paper cites Nunes, M.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Nunes, M

Reference 15

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source=pdf_text observed=2026-08-07T15:06:50.766372Z digest=sha256:3b8b90ed840694feb6598a3dfcc368e5a14b07a7f9e75fbd46ca16b0d95d487b

Observation a1e96a3b-6733-4a82-9973-7a2389492524 · outbound

This paper cites Herculano-Houzel, Scaling of brain metabolism with a fixed energy budget per neuron: implications for neuronal activity, plasticity and evolution, PloS one 6 (3) (2011) e17514.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Herculano-Houzel, Scaling of brain metabolism with a fixed energy budget per neuron: implications for neuronal activity, plasticity and evolution, PloS one 6 (3) (2011) e17514

Reference 16

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source=pdf_text observed=2026-08-07T15:06:50.947057Z digest=sha256:b02a20c4eee1efa5167e66f18a3021265f900ccac57a0acacfaad24683759423

Observation 4160deb4-073a-4df0-ae20-3dee0c833fbb · outbound

This paper cites Shoham, D.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Shoham, D

Reference 17

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source=pdf_text observed=2026-08-07T15:06:51.100219Z digest=sha256:772a3de41b952346c6a875b0bf8582e479fc47b71f125f22a330c43123a34c06

Observation 62dd0859-fe1b-4184-ae36-d0b65a18dc1c · outbound

This paper cites Quian, G.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Quian, G

Reference 18

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source=pdf_text observed=2026-08-07T15:06:51.315617Z digest=sha256:6f96fffd9a32b2545a0ac8461cc684c95330bbc0a8681169210dd012f1a8dd1f

Observation 1ad0343d-0268-443c-b783-c34bf34072da · outbound

This paper cites Rolls, G.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Rolls, G

Reference 19

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source=pdf_text observed=2026-08-07T15:06:51.538670Z digest=sha256:41c6ba67f0b126b951dd8866e2d8ab4080e0ebccdfe76c0b1fdd777eabd1a7d8

Observation fed7d3f8-aa11-4d02-b5fc-901e2c372beb · outbound

This paper cites Talbi, Metaheuristics: from design to implementation, Wiley, 2009.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Talbi, Metaheuristics: from design to implementation, Wiley, 2009

Reference 20

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source=pdf_text observed=2026-08-07T15:06:51.663156Z digest=sha256:b1ffc7e6b8b7b4153c2097ed16f856c317fe0edbc3d90143f05ad48789c04ca2

Observation fdf33d10-b035-4ca3-9efd-7fbd4a73b31d · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-07T15:06:51.778952Z digest=sha256:a15e021603232fcbc605be75c60eaa9a5073ffc14fce160597b18ecd1c72ee15

Observation fe962cff-a92e-4088-9bba-bc112d04a239 · outbound

This paper cites Storn, K.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Storn, K

Reference 22

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source=pdf_text observed=2026-08-07T15:06:51.910427Z digest=sha256:56b6742a3744178ba513890c2b2638e3f398401a1595986a56ac8f37923c0da1

Observation 1ddab655-76e5-4c56-87a7-fc000f3bebfe · outbound

This paper cites Eberhart, Y.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Eberhart, Y

Reference 23

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source=pdf_text observed=2026-08-07T15:06:51.987011Z digest=sha256:b88bb0fd86fb2c590ed360d673ada072244f24c2117a5490dc6829ed65871a1b

Observation b0d5a894-c44e-488e-ac9b-360abe632b5b · outbound

This paper cites Stork, A.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Stork, A

Reference 24

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source=pdf_text observed=2026-08-07T15:06:52.077384Z digest=sha256:286c291a8b19b0b84b52126044d55e83c023ac8e9bd159d50feee95ba6557fd3

Observation a449c772-8069-4b3b-af4d-6dd6e36d4cab · outbound

This paper cites Glover, G.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Glover, G

Reference 25

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source=pdf_text observed=2026-08-07T15:06:52.177191Z digest=sha256:c32d6a5a2adeed6784f0a9447b63e08548aa65ad8401ae71db628ab1fb8c3fbc

Observation 11fd4fd6-d1e4-44c1-837b-d2606c327c44 · outbound

This paper cites Glover, G.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Glover, G

Reference 26

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source=pdf_text observed=2026-08-07T15:06:52.258129Z digest=sha256:c726f6aaa9307bd534e09bcbe5201b1c9829639bbb2fb5d3c5022bcc213ebc41

Observation 8e0680b7-1a83-4ae3-ab07-4e3d72df568f · outbound

This paper cites Lucas, Ising formulations of many np problems, Frontiers in Physics (2014) 5–21.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Lucas, Ising formulations of many np problems, Frontiers in Physics (2014) 5–21

Reference 27

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source=pdf_text observed=2026-08-07T15:06:52.327082Z digest=sha256:62e54010de8dfa30a717e569e75cba7efe19bce0c43c36a6376117886ab732bc

Observation 587e59d4-b5c5-4624-a410-164557fc458c · outbound

This paper cites Mohseni, P.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Mohseni, P

Reference 28

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source=pdf_text observed=2026-08-07T15:06:52.373628Z digest=sha256:d4e3d42523bb086681c784525893dacf21705aae12c749c2d94e4a49673a2246

Observation 7bca3a65-2bf7-4513-95af-91cc1d82a1a1 · outbound

This paper cites Berkes, G.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Berkes, G

Reference 29

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source=pdf_text observed=2026-08-07T15:06:52.448132Z digest=sha256:1b30e869443761054eb52d94f0e1b857445894de0336c04142565887efa4b3a9

Observation 41e0b1eb-c18a-40d9-8133-f7313f9eb424 · outbound

This paper cites Buesing, J.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Buesing, J

Reference 30

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source=pdf_text observed=2026-08-07T15:06:52.541088Z digest=sha256:0aaa6c39611b8d67c8cc0f0b0d8c75c53f35980d45ecfaf28a20ffd29422fae2

Observation 61c548e0-167c-4251-b606-6cfc2b39009f · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-07T15:06:52.638542Z digest=sha256:7cb4ea177d0104033c4c293f7f928b1d1e3d904d101e9530c12ee19f65ca2b3d

Observation c07919b9-05c1-4ca9-97ca-86a289084c27 · outbound

This paper cites Shrestha, H.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Shrestha, H

Reference 32

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source=pdf_text observed=2026-08-07T15:06:52.714505Z digest=sha256:3104df427982ec9f79e34761c93635a4f3c32e77b5b7c93a4ae0b31f837cf901

Observation 06a84c74-1e92-4bca-8ce3-6572843d472a · outbound

This paper cites Abbott, Lapicque’s introduction of the integrate-and-fire model neuron, Brain research bulletin 50 (5-6) (1999) 303–304.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Abbott, Lapicque’s introduction of the integrate-and-fire model neuron, Brain research bulletin 50 (5-6) (1999) 303–304

Reference 33

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source=pdf_text observed=2026-08-07T15:06:52.792098Z digest=sha256:c0d9baeeb4c4d92eb98d9265df14f1d22d54f29d0a9e0714dd08df1472981218

Observation 5be6e7fc-fecd-4b4e-937e-c2c7baf90424 · outbound

This paper cites Gerstner, W.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Gerstner, W

Reference 34

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source=pdf_text observed=2026-08-07T15:06:52.831461Z digest=sha256:eb0a24e7d1dcd331354f52580a737eca0a5e7ec62303850091d842849d2d6149

Observation 54f1333d-099a-4592-b266-01bd6ff410cd · outbound

This paper cites Brette, W.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Brette, W

Reference 35

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source=pdf_text observed=2026-08-07T15:06:52.919184Z digest=sha256:d0285ee354a5cad833db2ba8dfe2ff931ae53aa003f31362ffd1bb571d4bcc2b

Observation 7cc08936-e363-4340-8855-81f08a57714b · outbound

This paper cites Burkitt, A review of the integrate-and-fire neuron model: I.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Burkitt, A review of the integrate-and-fire neuron model: I

Reference 36

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source=pdf_text observed=2026-08-07T15:06:52.980773Z digest=sha256:6ace26cdb6490fc42de139573b4e466b143d6ca9fe45ee44d57844f03f5e10d4

Observation c863eab3-0ba9-47ed-bcb5-9bb9362a325b · outbound

This paper cites Lecar, Morris-lecar model, Scholarpedia 2 (10) (2007) 1333.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Lecar, Morris-lecar model, Scholarpedia 2 (10) (2007) 1333

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Observation 8fba77e6-b178-411c-b011-ea8da056d70b · outbound

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Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 38

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Observation e813c7e2-d834-4bf7-a757-274523ef1ab3 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-07T15:06:53.234746Z digest=sha256:0e4951d1c044d0f52be2c54e262c13c42496e52bed67df7fb5f76d8bc9053143

Observation 972d733e-101e-4305-83b0-5250f80e9da0 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

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Observation f80c03ab-a7e5-4d47-8adb-49423457b6c8 · outbound

This paper cites Zenke, et al., Visualizing a joint future of neuroscience and neuromorphic engineering, Neuron 109 (4) (2021) 571–575.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Zenke, et al., Visualizing a joint future of neuroscience and neuromorphic engineering, Neuron 109 (4) (2021) 571–575

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source=pdf_text observed=2026-08-07T15:06:53.408715Z digest=sha256:e224154f49a4e3bf1b4e29d86f69a11cbf2dd92c22b5026c2af252f5523bbe70

Observation a8fbf304-09ba-4423-bd93-da9cb7ce134d · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

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source=pdf_text observed=2026-08-07T15:06:53.492637Z digest=sha256:a5bc3e2548115eca3e1cc93edc95333a3108c6835bcad749c0878e193177bb41

Observation 7ebc2ea6-0279-4fcc-b6c3-b8b527219862 · outbound

This paper cites Butts, C.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Butts, C

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Observation 794713cb-fb8c-40e0-9619-fcc8987ce1d9 · outbound

This paper cites Panzeri, N.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Panzeri, N

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source=pdf_text observed=2026-08-07T15:06:53.695669Z digest=sha256:4bce7b07e8d736b167e627d16ec8c9a94b634bb2f6d7c0a29f38038af1aec63c

Observation 07576d34-cd9f-4bc1-bebc-0adb98112580 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-07T15:06:53.781470Z digest=sha256:b3b44f89ec1510631e22c2d8eb4750d0154b370a17faea2a9a487adf24ffce3a

Observation 0dc3c6f1-f6e6-47ac-bb56-d32382cb4ea8 · outbound

This paper cites Thorpe, D.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Thorpe, D

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source=pdf_text observed=2026-08-07T15:06:53.846450Z digest=sha256:8049358adffec99a06b1af05e6f300c693d587801b79cdfb9d40d55aabe0fa12

Observation 2b46e4c0-f328-4cd8-a21d-1c878e1b0ebe · outbound

This paper cites Rueckauer, S.-C.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Rueckauer, S.-C

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source=pdf_text observed=2026-08-07T15:06:53.936948Z digest=sha256:233702a38e6b9c666e6f6e5e5fc754c092f88a9cf8de9ab724a61f2d9a54b93e

Observation 35c3ada9-7dc6-4341-b906-1be8e54a5741 · outbound

This paper cites Kumar, S.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Kumar, S

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source=pdf_text observed=2026-08-07T15:06:53.983838Z digest=sha256:3f500d4a945181479d0313e8808e9cc7d548342784e7b477bd72a99d6e211377

Observation 6ca626b2-34fe-48a6-8576-cb664bea871d · outbound

This paper cites Forno, V.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Forno, V

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source=pdf_text observed=2026-08-07T15:06:54.069306Z digest=sha256:6bbbaf241b176939f19da7aaa7dd7bc5f6e956e8c775bafecaedce53590e81a2

Observation d9e2b01b-02e1-46c8-8ea6-4022de3707b9 · outbound

This paper cites Schuman, C.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Schuman, C

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source=pdf_text observed=2026-08-07T15:06:54.174481Z digest=sha256:693bd223e83bf340ea8964966fa1e8cb0c1c8b9793b1f69dd8ca65af270972ad

Observation 45eb4c26-dfaf-436e-ad96-6cce9279492e · outbound

This paper cites Kiselev, Rate coding vs.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Kiselev, Rate coding vs

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source=pdf_text observed=2026-08-07T15:06:54.272405Z digest=sha256:50634727d0b913bd93e6ef1e877033c1e27a8a6dc7fc4555ff9aa3f62199fea5

Observation 68c320f4-fe35-4d86-afef-da7ac577c763 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-07T15:06:54.349553Z digest=sha256:186cea495fbe4fe48f587b15a29ac9cf00aa6da27f06bd60104db806e40c35e2

Observation 7e31490e-fc45-46bc-b826-b069f17fd141 · outbound

This paper cites Schuman, J.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Schuman, J

Reference 53

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source=pdf_text observed=2026-08-07T15:06:54.434982Z digest=sha256:add89732b953349b0eba817c86d114e72daa40f0b8a30ad8cb07b33d88ef9af2

Observation a220d2d2-91eb-4f2d-9087-ce470fc682a6 · outbound

This paper cites Heeger, et al., Poisson model of spike generation, Handout, University of Standford 5 (1-13) (2000) 76.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Heeger, et al., Poisson model of spike generation, Handout, University of Standford 5 (1-13) (2000) 76

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Observation 83189836-f02e-481c-95c2-6b0e9bccb424 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 55

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Observation e254f5ea-9ae0-4c28-a77c-3a4c78cc6009 · outbound

This paper cites Thorpe, J.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Thorpe, J

Reference 56

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source=pdf_text observed=2026-08-07T15:06:54.673345Z digest=sha256:535ad20128d22c96eadcd1acf101c0532b147470921b384b8da97efba2d89537

Observation c2b4226b-974c-4476-a61c-2f87bacd7979 · outbound

This paper cites Singer, Neuronal synchrony: a versatile code for the definition of relations?, Neuron 24 (1) (1999) 49–65.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Singer, Neuronal synchrony: a versatile code for the definition of relations?, Neuron 24 (1) (1999) 49–65

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Observation aff92192-c5a2-46da-bfda-87725286186c · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 58

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Observation c736bd44-10a8-489f-aea8-71b42dca3d8d · outbound

This paper cites Eliasmith, C.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Eliasmith, C

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source=pdf_text observed=2026-08-07T15:06:54.966706Z digest=sha256:01d3f14529da477f3ef8eb0787504c826bfe90409afee9f3192078d83dcef2d5

Observation d6289a65-668a-46e9-be94-2356e91928bc · outbound

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Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 60

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Observation ac9a1309-4c30-4d6c-84d9-4558b863c6e8 · outbound

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Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-07T15:06:55.303512Z digest=sha256:25e6e3d63d630ba0d7789e091256a252442efc7b0d223daef39117170fcebbe2

Observation 5cd20cc9-8ae1-4f3d-b86e-dda588b3ec23 · outbound

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Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 62

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Observation f8d826d5-a74a-445b-9bb0-4c1627f2b876 · outbound

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Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-07T15:06:55.535281Z digest=sha256:1f8edc68c337e10e044adc4371971e3bc61e88ee52ad3b175ae7c37fb6d4dd13

Observation 335e2321-776e-4184-9eea-ce5e1a6190d9 · outbound

This paper cites Maass, On the computational power of winner-take-all, Neural computation 12 (11) (2000) 2519–2535.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Maass, On the computational power of winner-take-all, Neural computation 12 (11) (2000) 2519–2535

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Observation 1b715ba6-e7cc-4e4e-a0ac-7ab2df6b87da · outbound

This paper cites Amari, M.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Amari, M

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Observation 4efc533a-ca8c-4924-a34f-599ef436ed16 · outbound

This paper cites Salzman, W.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Salzman, W

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source=pdf_text observed=2026-08-07T15:06:55.835074Z digest=sha256:7c5b896f744efa19d2aac2d8072d1fcdfd5e5eb73371e6e5c7a2201304d6d155

Observation 03540b0d-4f6c-4757-b799-fe0a51265669 · outbound

This paper cites Kwisthout, N.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Kwisthout, N

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source=pdf_text observed=2026-08-07T15:06:55.922633Z digest=sha256:847d9179e394570ecbd43a09016d972f9b0373b0996d30ebac9f7d3301806390

Observation 67b8ad92-840e-4b01-9c50-6f1c80a12d21 · outbound

This paper cites Furber, P.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Furber, P

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Observation 3cbfa28a-c41d-4cba-a2fa-953a3fd29d2a · outbound

This paper cites Painkras, L.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Painkras, L

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source=pdf_text observed=2026-08-07T15:06:56.048514Z digest=sha256:f5bedd1928cd9ae310f66f161b4a2bdb39298db1ea9d01112720c17cbd39f4d0

Observation 2c353ecb-c670-4d8a-b0c9-787d01856063 · outbound

This paper cites DeBole, et al., Truenorth: Accelerating from zero to 64 million neurons in 10 years, Computer 52 (5) (2019) 20–29.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms DeBole, et al., Truenorth: Accelerating from zero to 64 million neurons in 10 years, Computer 52 (5) (2019) 20–29

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source=pdf_text observed=2026-08-07T15:06:56.057641Z digest=sha256:8940edd36b0a28febb61c208542f98315a6fc9433475e2e602efb9d1f7c438fc

Observation c4781848-bb80-4b1d-bfdd-981e433febd3 · outbound

This paper cites Akopyan, J.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Akopyan, J

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Observation f8f63553-676f-4c8d-beef-4e112dea23a5 · outbound

This paper cites Davies, N.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Davies, N

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source=pdf_text observed=2026-08-07T15:06:56.068374Z digest=sha256:281d3dc5f22060f4eeed2eb2a6ae3d72bad8c60e4497246b27753c7c6db5966b

Observation 452025fd-71e1-45cc-ac6d-8d0b076409a3 · outbound

This paper cites Frenkel, M.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Frenkel, M

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Observation dfa4e331-425f-437f-86c5-741571d6de1c · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

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source=pdf_text observed=2026-08-07T15:06:56.079209Z digest=sha256:8d7f71920e89025ea9af30dc9f28bb4e4f28d08c08ba8c2c8833d67fe1cc76c8

Observation 47f0e47e-7b9f-4fca-80e5-0218e56c34f3 · outbound

This paper cites Orchard, P.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Orchard, P

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Observation 75364478-b205-4a01-94c6-c5fb4bd50f4e · outbound

This paper cites Javanshir, T.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Javanshir, T

Reference 76

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Observation 07dfc136-7909-44a9-985c-64a889ae7a62 · outbound

This paper cites Gr ¨ubl, S.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Gr ¨ubl, S

Reference 77

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source=pdf_text observed=2026-08-07T15:06:56.094645Z digest=sha256:086b9358dde00b7a500a33c408b4dfd0d10e91ad0d9fc2e1320b44f6d4ff263a

Observation 584e6a49-93cb-4f4a-a6db-0f56b4676860 · outbound

This paper cites Benjamin, P.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Benjamin, P

Reference 78

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source=pdf_text observed=2026-08-07T15:06:56.099034Z digest=sha256:83ab315a47d1343052cd0a73a3f1c5fca526acbb875ed2d089213a39c1010096

Observation 1cdfdcc3-f8c9-463b-a243-2292b6695391 · outbound

This paper cites Panda, D.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Panda, D

Reference 79

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source=pdf_text observed=2026-08-07T15:06:56.103968Z digest=sha256:37f6ed7dd9daa8909fcd0bb639f4572132a230edbbe4ae66212ce4c3bb48fd05

Observation 63c045d9-a5a1-4d03-8f64-980d9bf45ba8 · outbound

This paper cites Mu, H.-H.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Mu, H.-H

Reference 80

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Observation 34149773-19eb-4b25-b303-787a30605655 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-07T15:06:56.114138Z digest=sha256:9b09f777da9b8d295bf6896deb57320b4d1b61b3af3b3e1df3a3dd71388f4b7c

Observation 0c87c946-e06e-4670-b22b-ea804f21c5b6 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 82

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source=pdf_text observed=2026-08-07T15:06:56.118511Z digest=sha256:a47733120366e810196260d3ed9667c373ce679fc34718939420997eaf67a203

Observation 4c373346-025e-4948-8471-110811dae8c0 · outbound

This paper cites Hamilton, S.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Hamilton, S

Reference 83

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source=pdf_text observed=2026-08-07T15:06:56.123699Z digest=sha256:2ca4a9ad5eda9903586ae2138192f02fe3d83bcd268f87023fa52919e4fadc75

Observation 95c0dd03-2c74-4553-8cd7-73b6153ef531 · outbound

This paper cites Misra, L.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Misra, L

Reference 84

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Observation bb5004b5-1575-4a22-b975-683226e8aedf · outbound

This paper cites Alawad, M.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Alawad, M

Reference 85

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source=pdf_text observed=2026-08-07T15:06:56.133053Z digest=sha256:859aadc39f97236b060e658bc614c06fcc85e8433a01b123eab218a1c690a886

Observation 4d978d50-a8eb-499e-831c-8324cbe62c30 · outbound

This paper cites Mostafa, L.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Mostafa, L

Reference 86

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source=pdf_text observed=2026-08-07T15:06:56.137474Z digest=sha256:9ddc9a359fa21a822ac64152faa8ed4121ba0fe3acaac39c8166f49c0b081f3c

Observation 22329327-2d15-4e07-aca2-1f0630fdbc1f · outbound

This paper cites Torrejon, M.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Torrejon, M

Reference 87

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source=pdf_text observed=2026-08-07T15:06:56.142775Z digest=sha256:290e949620eb771772230eb268ca8b317aa10db323b604d3aedebbf28612d7de

Observation 18ad5a1c-9708-4cd9-9c41-ba7f5077f953 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-07T15:06:56.146921Z digest=sha256:1d24551c279f88a52e1c1b2deeea9411200c461c5e8091774790a22178805825

Observation 8d4c656c-4407-4c10-a4bc-791aa5a99518 · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 89

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Observation 6320ad73-ea38-4b69-8d73-603b3589699e · outbound

This paper cites Pfeil, J.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Pfeil, J

Reference 90

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Observation b367c4ef-89ff-4e06-81f4-78fd8536b9b6 · outbound

This paper cites Al-Shedivat, R.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Al-Shedivat, R

Reference 91

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Observation f2b63f56-fef8-46e3-9da3-8763b69a4170 · outbound

This paper cites Maass, To spike or not to spike: that is the question, Proceedings of the IEEE 103 (12) (2015) 2219–2224.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Maass, To spike or not to spike: that is the question, Proceedings of the IEEE 103 (12) (2015) 2219–2224

Reference 92

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Observation d458ca3b-8a14-462f-8eb6-bfa2d16f348b · outbound

This paper cites Branco, K.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Branco, K

Reference 93

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Observation e7c149e2-37ae-4c66-8ad8-f3bc8895d5aa · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 94

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Observation 753af0a5-5e39-466c-84f7-da047c7d616c · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-07T15:06:56.180080Z digest=sha256:71cc16d1e92ad20b6ff2e5960af022042a3ac989745e6eb39cdb6ff5caec21c9

Observation 174f856c-e25e-49a2-85d6-5a8498dc48c4 · outbound

This paper cites Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review

Reference 96

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source=pdf_text observed=2026-08-07T15:06:56.184765Z digest=sha256:76c88c74784bfcbe796493df8048dc0221c30f0a7810965af23d09013e441bbe

Observation d5e02c93-6893-4d72-a29f-fc565142b6e9 · outbound

This paper cites Bouvier, A.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Bouvier, A

Reference 97

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source=pdf_text observed=2026-08-07T15:06:56.190207Z digest=sha256:c1f0b945e9702e4a5908745830e570ec4001d59899a23c1b24d19374b3c70982

Observation f5239136-49a0-4a8b-8bb6-9401108c5888 · outbound

This paper cites Schuman, S.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Schuman, S

Reference 98

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source=pdf_text observed=2026-08-07T15:06:56.196835Z digest=sha256:6306eb21fb69ffdb98b31e34f017fd85a570d3cb30a4ee6bc67eaab528e586a4

Observation 79ce7111-05d2-4e4a-b3ba-bce4aa6c3e7f · outbound

This paper cites an unresolved cited work.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-07T15:06:56.203151Z digest=sha256:9ce298e609245382947de9562451eb6e6824f836841a455709013657a57f066e

Observation cc14dc31-e69e-439e-81cc-0e6e30f3ec98 · outbound

This paper cites Rajendran, A.

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Rajendran, A

Reference 100

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source=pdf_text observed=2026-08-07T15:06:56.210834Z digest=sha256:a84a13aa070e474dd4c75e33de99cd59aef74c25b7800a612b1c1bb344d6a213

Pith citing papers

Observation 197c1ece-7d75-436e-a95e-621eb4994c6f · inbound

NeurOptimisation: The Spiking Way to Evolve cites this paper.

NeurOptimisation: The Spiking Way to Evolve Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms

Reference 7

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source=pdf_text observed=2026-08-06T18:29:08.704463Z digest=sha256:2df051c02a838641b7be53b589997e8844f09ab7433185929356fa1b808d4bc4