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Artificial neuron repeatedly fires at biological-range voltage and energy

Researchers built a memristor–RC artificial neuron that repeatedly produced voltage spikes up to about 120 mV. In its 4.7 nF configuration, the study calculated about 37 pJ per spike, while a conditioned cardiomyocyte signal path showed that the circuit could distinguish two cellular firing-rate states in real time.

The Reality Check

The voltage and energy comparison is to biological ranges cited by the study, not proof that the device is a living neuron. The 37 pJ result applies to one capacitor configuration, and the cardiomyocyte demonstration used filtering, amplification, pulse conversion, and attenuation rather than direct, amplification-free neural communication.

Context

The Nature Communications study combined a volatile silver memristor containing Geobacter sulfurreducens protein nanowires with a resistor–capacitor circuit. Across 1,000 voltage sweeps, the memristor switched at approximately 60 ± 3 mV and 1.76 ± 0.06 nA. With 120 mV input pulses, the circuit produced repeated output spikes reaching approximately 120 mV, returned close to zero between spikes, and drove a downstream artificial neuron in a cascade test.

With a 4.7 nF capacitor, the authors calculated approximately 37 pJ per spike and compared it with a cited biological-neuron range of approximately 0.3–100 pJ. They estimated approximately 3.5 pJ at 0.5 nF and 0.2 pJ at 50 pF, so the complete set of reported configurations was not wholly inside that cited range. The paper’s energy calculation included resistor and capacitor currents and was checked against direct current measurement in a separate 33 nF configuration.

For the living-cell demonstration, signals from cardiomyocyte tissue were filtered, amplified, converted into 5 V pulses, and attenuated to standardized 120 mV, 70 ms inputs. Untreated tissue produced approximately 0.4 Hz signals and left the artificial neuron silent; norepinephrine-treated tissue produced approximately 0.6 Hz signals and triggered firing. This was a one-way, bench-top proof of concept, not a living-neuron replacement, implant, scalable network, or independent replication.

THE TAKEAWAY

This work supports a meaningful component-level result: one artificial-neuron circuit repeatedly fired at a biological-range voltage while its 4.7 nF configuration used a calculated biological-range spiking energy. It narrows an electrical mismatch that has complicated cascading and bioelectronic integration.

It does not demonstrate a deployable artificial neuron or direct neural interface. The cell experiment used cardiomyocytes and conventional analog conditioning, and no independent group’s reproduction of the complete voltage-and-energy result was found in this review.

Continue the Thread

Brain-Inspired Hardware Approaching Biological Function

Tracks progress in hardware that reproduces or interoperates with biological neural signaling and information processing.

Sources

Constructing artificial neurons with functional parameters comprehensively matching biological values

Nature Communications

Primary EvidencePeer-Reviewed Paper · Developer / Vendor Claim

Used for: Publication metadata; device construction; voltage, current, and repeated-spiking measurements; energy calculation; cascade test; chemical experiments; cardiomyocyte setup and results; methods; and disclosed limitations. Because the authors report a result about the device they developed, the paper is also a Developer / Vendor Claim.

Bioinspired bio-voltage memristors

Nature Communications

Context SourcePeer-Reviewed Paper · Developer / Vendor Claim

Used for: Previous frontier established by protein-nanowire memristors operating at approximately 40–100 mV and artificial-neuron functions driven by biological-amplitude inputs.

Last checked Methodology 2.0.0