finding

active

finding:brain-computer-interface-enables-paralyzed-patient-to-write-via-motor-cortex-decoding

Brain-computer interface enables paralyzed patient to write via motor cortex decoding

Artificial chimaera merging biological motor cortex with software enabling novel communication without understanding underlying neural mechanisms.

Source paper

extracted_from

Endless forms most beautiful 2.0: teleonomy and the bioengineering of chimaeric and synthetic organisms

(2023) · Clawson, Wesley P. · Levin, Michael

Neighborhood — ranked by edge-count

Communities (3)

community

Design principles for care-centered systems
members_of
Cross-scale frameworks linking spatial patterns, diagrams, and simplicity as expressions of care in design.
Living systems as 21st-century machines
members_of
Reconceptualizes life and biological complexity through modern computational principles—substrate-dependence, multiscale integration, irreducibility—rather than mechanical reductionism, bridging xenobiology and machine learning circa 2020s.
Neural handwriting BCI decoding
members_of
Motor cortex signals decoded to text in paralyzed patients, ~90 chars/min, Shenoy lab 2021

Concepts (1)

concept

Chimaeras
cites
Living organisms composed of heterogeneous biological components from different origins; a key experimental paradigm.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Willett et al. brain-computer interface for paralyzed patient handwritingfinding0.864
Brain-to-text communication via handwriting achieved 90 characters per minute in a paralyzed person.finding0.821
From Willett et al. (2021), shows high-performance artificial chimaera.
Brain–computer interfaceconcept0.779
Technology enabling direct communication between the brain and an external device.
Can Braincomputer Interfaces Achieve Bidirectional Control Sufficient Forquestion0.765
Brain-Machine Interfacesmethod0.757
Interfaces enabling direct integration of biological neural tissue with machine components, cited as evidence against life/machine binary
It is basically impossible to determine if a computer program generates conscious experience by merely observing its performance; a test for consciousness must take internal structure into account.claim0.743
Paper's argument against behavioral tests for consciousness, establishing why MCH requires internal analysis
Split-brain patients and other aspects of cognitive neuroscience demonstrate that higher-level cognitive processes lack infallible access to lower-level processes and construct plausible post-hoc explanationsfinding0.732
Cited as empirical evidence that confabulation is universal in biological cognition, not AI-specific
Cognitive capacities including sentience can be achieved by non-neural tissueshypothesis0.727
Central hypothesis: sentience is not exclusive to neural systems; other biological substrates may achieve felt states.