pith. sign in
Pith Number

pith:5AKN3BQJ

pith:2026:5AKN3BQJ6X7UZ53ZAHM7LQ62EU
not attested not anchored not stored refs resolved

Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation

Alon Loeffler, Azin Azadi, Bernhard Sendhoff, Bradley Watmuff, Brett J. Kagan, Candice Desouza, Daniel Tanneberg, Daria Kornienko, Finn Doensen, Forough Habibollahi, Johnson Zhou, Justin Leigh Bourke, Kiaran Lawson, Kwaku Dad Abu-Bonsrah, Valentina Baccetti

Biological neural networks outperform optimized silicon agents in navigation tasks through optimized interfacing parameters.

arxiv:2605.13315 v1 · 2026-05-13 · cs.ET · cs.LG · cs.NE · cs.SY · eess.SY · q-bio.NC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5AKN3BQJ6X7UZ53ZAHM7LQ62EU}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

These configurations achieved significantly higher task performances than optimized silicon-based DQN agents under the same interaction budget.

C2weakest assumption

That the simulated grid-world with odor-style gradient sufficiently captures the relevant dynamics of real biological neural cultures for the optimization to translate outside the model.

C3one line summary

A new framework optimizes biological neural network interfaces and identifies 12 configurations that outperform DQN agents in simulated navigation under equal interaction budgets.

References

46 extracted · 46 resolved · 0 Pith anchors

[1] Energy and Policy Considerations for Deep Learning in NLP.arXiv, 2019 2019
[2] Asen Mehonic and Anthony J. Kenyon. Brain-inspired computing needs a master plan.Nature, 2022 2022
[3] The economy of brain network organization.Nature Reviews Neuroscience, 2012 2012
[4] Wagenaar, Radhika Madhavan, Jerome Pine, and Steve M 2005
[5] Pastore, and Paolo Massobrio 2015

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-18T02:44:48.789348Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

e814dd8609f5ff4cf77901d9f5c3da2537218fce6dfcdc2ca42fda27c5bd06a4

Aliases

arxiv: 2605.13315 · arxiv_version: 2605.13315v1 · doi: 10.48550/arxiv.2605.13315 · pith_short_12: 5AKN3BQJ6X7U · pith_short_16: 5AKN3BQJ6X7UZ53Z · pith_short_8: 5AKN3BQJ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5AKN3BQJ6X7UZ53ZAHM7LQ62EU \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: e814dd8609f5ff4cf77901d9f5c3da2537218fce6dfcdc2ca42fda27c5bd06a4
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "cc22aff6513b8fe7fe0d75553381e8392017d7ecb89783deada0ba096c442952",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.NE",
      "cs.SY",
      "eess.SY",
      "q-bio.NC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.ET",
    "submitted_at": "2026-05-13T10:27:05Z",
    "title_canon_sha256": "91d1e2c70f11b2cf10866eb1192b382aefb9e98a25b5e5f8e67c0f5b145deda5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13315",
    "kind": "arxiv",
    "version": 1
  }
}