REFERENCE POST

1) Adaptive cycles / neuroscience analogs

• https://dspace.stir.ac.uk/bitstream/1893/31784/1/1-s2.0-S0149763420305753-main.pdf — Review detailing how cholinergic REM states drive apical dendritic integration (“apical drive”) that biases cortex toward internally generated processing.
• https://pmc.ncbi.nlm.nih.gov/articles/PMC5462120/ — Open-access study linking “posterior hot zone” activation patterns to vivid dream reports and dream content features.
• https://www.nccih.nih.gov/research/research-results/mapping-the-brain-during-sleep-yields-new-insights-on-dreaming-and-consciousness — Plain-language summary of brain-mapping results that connect regional activity during sleep to dreaming and consciousness.
• https://www.cell.com/patterns/pdf/S2666-3899%2821%2900064-7.pdf — The Overfitted Brain Hypothesis: dreams inject noisy, perturbed inputs to improve generalization and robustness of cortical models.
• https://arxiv.org/abs/2007.09560 — Preprint expanding the OBH framework, modeling dreams as systematic regularizers for learning systems.

2) Spacetime computing (optics, interference, resonance)

• https://www.nature.com/articles/s41377-024-01590-3 — Open-access review of optical neural networks using interferometric meshes to perform matrix operations in light.
• https://www.nature.com/articles/s41467-024-55172-3 — Demonstration of silicon photonic reservoir computing achieving state-of-the-art tasks on compact chips.
• https://www.nature.com/articles/s41377-025-01927-6 — Survey of next-gen optical reservoirs leveraging scattering media for efficient analog computation.

3) Phase-change / in-memory compute (“vesicles”)

• https://www.nature.com/articles/s41467-025-56345-4 — Open-access work showing rapid meta-learning on phase-change neuromorphic hardware, validating non-volatile in-memory compute for adaptation.

4) Neuromorphic “reflex organelles”

• https://redwood.berkeley.edu/wp-content/uploads/2021/08/Akopyan2015.pdf — IBM TrueNorth architecture paper (full PDF) describing a 1M-neuron, ultra-low-power neurosynaptic chip.
• https://arxiv.org/html/2408.16096v1 — Loihi-2 research (HTML full text) on spiking learning and event-driven computation for energy-efficient workloads.
• https://arxiv.org/html/2503.18002v2 — Loihi-class exploration of matmul-free spiking approaches to LLM-style tasks.
• https://www.nature.com/articles/s41467-024-53827-9 — Open-access results on backpropagation-like training in spiking neuromorphic systems.

5) Spin-waves & magnonics (wave-logic)

• https://www.science.org/doi/10.1126/sciadv.adu9032 — Science Advances paper (open access) implementing magnonic logic gates for wave-based computation.
• https://www.nature.com/articles/s44306-025-00078-z — Open-access review of spintronic memristors and their role in low-power, non-volatile computing.

6) Mesh & swarms (organisms / ecosystems)

• https://seas.harvard.edu/news/2014/08/self-organizing-thousand-robot-swarm — Harvard SEAS article on the 1,024-robot Kilobot swarm and its self-organization behaviors.
• https://www.nature.com/articles/nature.2014.15714 — Nature news coverage explaining how large robot swarms demonstrate scalable collective control.

7) Networking “vasculature”

• https://www.nvidia.com/en-us/networking/spectrumx/ — Product page for NVIDIA Spectrum-X AI Ethernet fabric enabling high-throughput, low-latency cluster connectivity.
• https://developer.nvidia.com/blog/optimize-large-scale-ai-workloads-with-nvidia-spectrum-x/ — Technical blog on tuning large-scale AI workloads with Spectrum-X fabrics and SuperNICs.
• https://www.spectrumscaleug.org/wp-content/uploads/2025/03/SSUG24SC04-NVIDIA-AI-Networking-for-IBM-Storage-Forum-Nov-2024-SC24.pdf — Slide deck with performance plots and architectural details for AI networking at scale.
• https://www.reuters.com/technology/photonic-startup-lightmatter-raises-400-million-amid-ai-datacenter-boom-eyes-ipo-2024-10-16/ — Report on silicon-photonics chiplet/interposer momentum (Lightmatter) relevant to optical interconnect roadmaps.
• https://www.reuters.com/technology/artificial-intelligence/lightmatter-releases-new-photonics-technology-ai-chips-2025-04-01/ — Update on new photonic technologies for AI chips, indicating timelines for deployable optical fabrics.

8) Identity & “immune” layers (PUFs, attestation)

• https://www.mdpi.com/2227-7390/12/1/77 — Open-access survey of physically unclonable functions (PUFs) and their mathematical properties for device identity.
• https://www.nature.com/articles/s41467-025-60415-y — Open-access Nature Communications paper proposing V-NAND-based PUF architectures for robust hardware fingerprints.
• https://www.ijera.com/papers/vol15no2/15023037.pdf — Broad (free PDF) survey touching PUF types and security considerations for embedded systems.

9) Biomimicry (meta-method)

• https://elmoukrie.com/wp-content/uploads/2021/11/janine-m-benyus-biomimicry_-innovation-inspired-by-nature-harper-perennial-2002-2.pdf — Book excerpt (PDF) outlining Benyus’s “model/measure/mentor” framework for learning from nature.
• https://biomimicry.org/janine-benyus/ — Overview of biomimicry’s principles and practice from the Biomimicry Institute.
• https://asknature.org/innovation/passively-cooled-building-inspired-by-termite-mounds/ — Case study: termite-mound ventilation inspiring ultra-low-energy building cooling.
• https://www.mdpi.com/2218-6581/11/6/143 — Open-access review of gecko-inspired adhesion and its engineering translations.
• https://www.reuters.com/sustainability/land-use-biodiversity/bullet-trains-green-buildings-innovators-take-cue-nature-through-biomimicry-2025-01-13/ — Article surveying real-world biomimicry (e.g., kingfisher-inspired Shinkansen nose design) and its sustainability impact.

If you want, I can package this as a CSV or Google Sheet (columns: Area → Title → Full-Text URL → One-Sentence Summary) so you can drop it straight into your knowledge base.