CORTEX: A Bioinspired Spike-Based Neurocomputational System with EEG Integration, Prefrontal Cortex Simulation, and Resonant Neuron Model
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Zenodo
2026
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| _version_ | 1866901948751413248 |
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| author | de paoli, Italo luigi De Paoli, Athos |
| author_facet | de paoli, Italo luigi De Paoli, Athos |
| contents | <p><span><span><span><em>We present CORTEX, a bioinspired spike-based neurocomputational platform designed from the ground up for accessibility and real-world use. CORTEX implements key structures of the biological cortex without relying on conventional deep-learning frameworks, and integrates consumer-grade wearable EEG as a deliberate design choice — not a compromise. The system demonstrates: successful BCI thought-to-memory recall from a wearable 4-channel EEG device; autonomous nightly consolidation cycles analogous to NREM sleep; inter-subject cognitive pattern discrimination; and measurable energy savings through a novel resonant neuron model. CORTEX is built on the principle that understanding the human brain should be accessible to everyone — not confined to specialized laboratories or expensive hardware. All results are documented with timestamped logs and reproducible experimental protocols on consumer hardware.</em></span></span></span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20201823 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CORTEX: A Bioinspired Spike-Based Neurocomputational System with EEG Integration, Prefrontal Cortex Simulation, and Resonant Neuron Model de paoli, Italo luigi De Paoli, Athos <p><span><span><span><em>We present CORTEX, a bioinspired spike-based neurocomputational platform designed from the ground up for accessibility and real-world use. CORTEX implements key structures of the biological cortex without relying on conventional deep-learning frameworks, and integrates consumer-grade wearable EEG as a deliberate design choice — not a compromise. The system demonstrates: successful BCI thought-to-memory recall from a wearable 4-channel EEG device; autonomous nightly consolidation cycles analogous to NREM sleep; inter-subject cognitive pattern discrimination; and measurable energy savings through a novel resonant neuron model. CORTEX is built on the principle that understanding the human brain should be accessible to everyone — not confined to specialized laboratories or expensive hardware. All results are documented with timestamped logs and reproducible experimental protocols on consumer hardware.</em></span></span></span></p> |
| title | CORTEX: A Bioinspired Spike-Based Neurocomputational System with EEG Integration, Prefrontal Cortex Simulation, and Resonant Neuron Model |
| url | https://doi.org/10.5281/zenodo.20201823 |