pith:MGIXM7LD
Multiple mechanisms of rhythm switching in recurrent neural networks with adaptive time constants
RNNs switch between four rhythms using multiple coexisting mechanisms that differ across networks
arxiv:2605.14388 v1 · 2026-05-14 · q-bio.NC
Record completeness
Claims
Rhythm switching was supported by multiple coexisting mechanisms: turnover of the active subpopulation, network-wide baseline shifts that reposition the operating point near distinct unstable fixed points, and inter-neuronal phase reorganization that selectively cancels or supports band components in the population output. The mechanism deployed for each mode pair varied across training runs, exposing a degeneracy of learned solutions.
That the mechanisms observed in these simplified leaky-integrator RNNs trained on an artificial four-band switching task provide a valid framework for interpreting frequency-band-specific functional differentiation in biological neural circuits.
Leaky integrator RNNs with adaptive time constants switch between four frequency bands using multiple mechanisms including subpopulation turnover, baseline shifts, and phase reorganization, with high frequencies dominated by short-time-constant neurons.
References
Formal links
Receipt and verification
| First computed | 2026-05-17T23:39:07.644139Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6191767d63dc80ab9f691da75809fb630f8a0f7d552725615ef609a4ae5c58ad
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MGIXM7LD3SAKXH3JDWTVQCP3MM \
| 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: 6191767d63dc80ab9f691da75809fb630f8a0f7d552725615ef609a4ae5c58ad
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2026-05-14T05:11:54Z",
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"kind": "arxiv",
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