Pith Number

pith:JYQEBVZS

pith:2026:JYQEBVZS2JKFNNQBR25OLJ3YFM

not attested not anchored not stored refs resolved

Bayesian In Vivo Tracking of Synapses using Joint Poisson Deconvolution and Diffeomorphic Registration

Adam S. Charles, Anuj Srivastava, Austin R. Graves, Binish Narang, Dominic M. Padova, Gabrielle I. Coste, Michael I. Miller, Richard L. Huganir, Shashwat Kumar

A single Bayesian posterior simultaneously builds a probabilistic synapse template, denoises and deconvolves images, infers intensities, registers tissue motion diffeomorphically, and reports uncertainty for in vivo tracking.

arxiv:2605.13455 v1 · 2026-05-13 · cs.CV

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\pithnumber{JYQEBVZS2JKFNNQBR25OLJ3YFM}

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4 Citations open

5 Replications open

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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

The Bayesian solution simultaneously: (1) Constructs a probabilistic template of synapse locations, (2) denoises and deconvolves the image data, (3) infers fluorescence intensities, (4) performs diffeomorphic image registration to correct for tissue motion, and (5) provides confidence regions for these parameter estimates.

C2weakest assumption

That synapses can be accurately represented as varying-luminance point sources whose motion is captured by a diffeomorphic tissue deformation, with the microscope PSF well-approximated by a Gaussian and photon counts following a Poisson distribution.

C3one line summary

A unified Bayesian model performs joint Poisson deconvolution and diffeomorphic registration to construct probabilistic synapse templates, denoise data, infer intensities, correct tissue motion, and provide confidence regions from longitudinal in vivo microscopy.

References

86 extracted · 86 resolved · 2 Pith anchors

[1] Annual review of neuroscience , volume= 2002

[2] Synaptic plasticity and learning II: do different kinds of plasticity underlie different kinds of learning? , author=. Neuropsychologia , volume=. 1989 , publisher= 1989

[3] Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors , author=. Elife , volume=. 2021 , publisher= 2021

[4] Coste and Evan Li and Richard L 2025 · doi:10.1101/2025.01.22.634278

[5] The Astronomical Journal , volume= 2013

Receipt and verification

First computed	2026-05-18T02:44:41.828832Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4e2040d732d25456b6018ebae5a7782b2c7d904809d786de048313e1ea7b8939

Aliases

arxiv: 2605.13455 · arxiv_version: 2605.13455v1 · doi: 10.48550/arxiv.2605.13455 · pith_short_12: JYQEBVZS2JKF · pith_short_16: JYQEBVZS2JKFNNQB · pith_short_8: JYQEBVZS

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Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/JYQEBVZS2JKFNNQBR25OLJ3YFM \
  | 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: 4e2040d732d25456b6018ebae5a7782b2c7d904809d786de048313e1ea7b8939

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e63c48279350c9f0d68806c005734afdd75a4238222a7115766abdc3a1563778",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T12:49:22Z",
    "title_canon_sha256": "cca9f6ffe851442ddd48834e04ddcdaf296c7550f4ba239fb0798258688eed5c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13455",
    "kind": "arxiv",
    "version": 1
  }
}